5G Core Powering the Future of Connectivity

In the ever-evolving landscape of telecommunications, the advent of 5G stands as a monumental leap forward. Beyond just speed, 5G introduces a transformative architecture known as the 5G core (5GC), revolutionizing the way we integrate, connect, and communicate. Let’s delve deeper into this advanced infrastructure and the pivotal concepts that shape its functionality.

Figure 1: High Level 5G Network architecture

The 5G core represents a fundamental shift from its predecessors, embracing a software-defined network architecture, cloud-native virtual network functions, and service-based architecture as well as full separation between the user plane and control plane through the full implementation of CUPS. Within this core, network functions play a pivotal role. These functions, ranging from authentication and policy control to session management and database management, are decoupled and virtualized, allowing for flexibility and scalability previously unseen in telecommunications networks. The Service-Based Architecture (SBA) in 5G represents a paradigm shift in how telecommunications networks are structured and function. At its core, SBA redefines network architecture by organizing various functionalities into modular and reusable services. These services, such as network slicing, authentication, session management, and policy control, are designed to be independent and interact through well-defined interfaces. This modular approach enables flexibility, allowing service providers to dynamically compose and deploy services tailored to specific user needs and applications. SBA facilitates efficient resource utilization, scalability, and rapid innovation, enabling the seamless integration of diverse services and applications across the 5G network.

 Its emphasis on standardized interfaces and service-based components fosters interoperability and encourages an ecosystem where new services can be rapidly developed, deployed, and managed in a more agile and cost-effective manner, ultimately driving the evolution of 5G networks to meet the demands of an increasingly connected world.

Figure 2: 5G core network functions

This cloud-service-based approach in the 5G core revolutionizes how telecommunications networks operate, offering a level of flexibility and scalability crucial for supporting a wide array of services and applications in the 5G era.

Network slicing, a defining feature of 5G, enables the creation of isolated, end-to-end virtual networks tailored to specific services or customer requirements.

By partitioning the network resources, 5G can allocate bandwidth, latency, and other parameters on demand. For instance, a slice designed for autonomous vehicles may prioritize ultra-low latency, ensuring real-time responsiveness, while another slice optimized for IoT devices might emphasize massive connectivity. This ability to customize network characteristics within slices is pivotal in meeting the diverse needs of various industries and applications.

Figure 3: Network Slicing Concept 

As part of 3GPP release 16 the Service Communication Proxy (SCP) has been introduced as a non-mandatory but vital node to have strong SBA deployment in coordination with multi-access edge computing (MEC) and it serves as a pivotal component within the 5G network, facilitating service-based communication between various network functions. Acting as an intermediary, the SCP ensures seamless interaction and coordination between functions such as the policy control function (PCF), user plane function (UPF), and network exposure function (NEF). It enables efficient handling of service requests, ensuring that data and control flow smoothly across the network, ultimately contributing to a robust and responsive network infrastructure and reducing the load on NRF (Network Repository Function)

Figure 4: SCP Function Description

Digis Squared stands out as a pivotal force in the domain of 5G system integration, renowned for its extensive proficiency in deploying both standalone and non-standalone 5G networks. our expertise spans across the entire spectrum of 5G infrastructure, encompassing radio, transport, and core networks. Through a meticulous approach to integration, we at Digis Squared ensure a cohesive and harmonized ecosystem, emphasizing seamless interoperability and optimal performance across these network layers.

Their in-depth understanding of 5G architecture enables us to tailor solutions that precisely address the unique needs and challenges encountered across diverse industries. For instance, in industries like healthcare, manufacturing, automotive, and entertainment, we at Digis Squared customize the integration strategies to accommodate specific requirements, whether it’s ultra-reliable low-latency communication (URLLC) for critical applications or massive machine-type communication (mMTC) for IoT devices as well as for the application that needs the enhanced mobile broadband (eMBB).

Digis Squared’s contributions extend beyond mere integration; they actively shape the 5G landscape by pioneering innovative solutions and best practices. Their role in driving the transition toward a fully connected future is instrumental, as they continuously refine their methodologies to adapt to the evolving demands of the 5G ecosystem. This commitment to innovation positions Digis Squared as a key enabler of the transformative potential inherent in 5G technology, propelling industries, and societies toward a more connected and technologically advanced era.

KATANA IPM Analytics

Leveraging advanced analytics and AI engine, IPM predicts and prevents network performance issues before they happen, building Capacity growth models and forecasting user behaviour and traffic load on the network, giving proper recommendations that keep network performance on track with this growth and user behaviour changes.

Figure 1: KATANA Platform Modules

IPM Analytics is the heart of KATANA IPM module, and it offers the below different uses cases.

Figure 2: IPM Main Functionalities sub-modules

Anomaly Detection:employs a machine-learning algorithm to understand the patterns of Key Performance Indicators (KPIs), making comparisons and autonomously recognizing deviations. The resulting scores are presented for each instance, facilitating straightforward identification of anomalies and their deviation from the typical cluster or common behavioral patterns within the network.

Forecasting Analysis: iPM encompasses various forecasting techniques within a unified interface, granting users the capability to analyze anticipated future trends in network usage for any counter and Key Performance Indicator (KPI).

Figure 3: DL Traffic Volume Forecast

Capacity Management: As networks expand and experience heightened traffic, there is often a decline in network performance. To prevent this deterioration, iPM Capacity management function becomes crucial to enhance performance and restore it to its initial levels. iPM is Addressing traffic shifts requires the strategic rebalancing of network traffic, ensuring even utilization across the network, thereby deferring capital expenditures on new equipment.

Worst Cell List: The Worst Cell List Report, an integral component of our iPM capabilities, is robustly supported by ranking conditions tied to specific periods for designated Key Performance Indicators (KPIs). This functionality empowers users to assess nodes with the poorest performance through detailed maps and charts.

Worst Degraded List: This module, seamlessly integrated into our iPM suite, efficiently troubleshoots and compiles a list of nodes with degraded performance over a specified period. It conducts in-depth analyses through maps and charts, facilitating immediate examination at the work area for detailed troubleshooting

Figure 4: Creation Criteria for WDL

Benchmark: After implementing an optimization action, users have the flexibility to initiate a benchmark across a set of Key Performance Indicators (KPIs). This benchmarking can be conducted on a Day-to-Day, Week-to-Week, or Month-to-Month basis, allowing for comprehensive performance evaluation over various timeframes.

Swap & Acceptance: In Swap Projects, users are required to compare Key Performance Indicators (KPIs) before and after the swap. iPM provides users with the convenient option to effortlessly compare the performance of vendors, facilitating a streamlined assessment of the impact of the swap on network performance.

Eagle Eye: Revolutionizing Mobile Network Testing with INOS

Introduction

In the world of mobile network testing, efficiency and accuracy are crucial for optimizing network performance. The “Eagle Eye” feature in INOS is a powerful tool that enables users to analyze large data sets in logfiles, extracting valuable insights through geofencing. This feature facilitates data-driven decision-making for network optimization.

Unveiling “Eagle Eye”

The “Eagle Eye” feature in INOS allows users to effortlessly search through logfiles containing millions of samples, making it a reality. Unlike the traditional method that required meticulous effort in recalling file names, dates, and locations, “Eagle Eye” offers an intuitive solution. Users can define their area of interest using geofencing, and the feature retrieves all relevant data within that area, saving both time and effort.

Figure 1

Optimizing Search Results

“Eagle Eye” offers various settings to streamline the search process, allowing users to optimize and narrow down their results efficiently. These settings include:

  • Time Aggregation: Users can pick time granularity (hourly, weekly, or monthly) to analyze data over specific periods, aiding trend identification.
  • Distance Aggregation: Users can set the desired distance aggregation for a detailed location-based network performance analysis.
  • Operator MNC/MCC: Users can filter their search results based on specific Mobile Network Code (MNC) and Mobile Country Code (MCC).
  • KPI Selection: Users can choose the Key Performance Indicators (KPIs) they wish to extract from the logfiles.
  • Date Range and Time Clustering: Users can set a date range and cluster data in time to better understand network performance changes in specific periods.

Interpreting the Results

Once the search parameters are set, “Eagle Eye” presents users with an interactive map accompanied by a timeline.

Figure-2

“Eagle Eye” offers a user-friendly visual representation for easy navigation, providing insights into network performance across locations and timeframes. It also includes benchmark tables and histogram charts for comparative analysis and trend identification.

Use Case Scenarios

The application of “Eagle Eye” in INOS extends to various use cases like;

  • Pre-action Network Assessment
  • Performance Benchmarking
  • Team Performance Assessment
  • Investment Impact analysis
Figure-3
Figure-4

Conclusion

“Eagle Eye” in INOS is a game-changer for mobile network testing, with geofencing, result optimization, and visual representations that empower efficient insights extraction. It enhances decision-making, network performance, and operational excellence in mobile network testing.

INOS now available over AWS

INOS, Digis Squared’s vendor-agnostic, multi-network-technology solution delivering automated assessment, testing, post-processing and field optimisation of mobile networks, across all technologies, is now available as an AWS cloud-native tool.

The availability of INOS over AWS will enable Digis Squared’s clients to utilise the powerful mobile network testing and analytics capabilities with enhanced performance.

Abdelrahman Fady, Digis Squared CTO explained, “We’re excited to announce the deployment of INOS, our flagship product for network drive testing, benchmarking, post-processing and field optimisation over AWS. This deployment offers a host of benefits to our customers in the MNO industry, including a highly scalable and reliable infrastructure that can handle even the most demanding testing requirements.”

“With INOS’ advanced AI capabilities, our customers can gain predictive insights and automated optimizations that drive network efficiency and improve user experiences. This means that Digis Squared’s customers can proactively identify and address network performance issues, reducing downtime and improving overall network efficiency.”

“INOS’ deployment over AWS also means that Digis Squared’s customers can take advantage of a range of powerful tools and services that streamline network management, freeing up resources to focus on delivering value to their business. We’re thrilled to offer such a powerful and comprehensive solution to our customers and look forward to seeing the impact it has on their businesses.”

If you or your team would like to discover more about INOS over AWS, please get in touch: use this link or email hello@DigisSquared.com

What is INOS?

Digis Squared’s INOS is a vendor-agnostic, multi-network-technology solution delivering automated assessment, testing, benchmarking, post-processing and field optimisation of networks. Generating actionable reports in just 15 minutes, combined with live-view for instant adjustments, INOS significantly reduces the time taken to complete the work and opex cost, to deliver optimum customer experience.

INOS can be implemented as a public or private cloud, or on-premise solution, and is also available as a “Radio Testing as-a-service” model. Its extensive AI analysis and remote OTA capabilities ensure speedy and accurate assessment of all aspects of network testing: SSV, in-building and drive testing, network optimization and competitor benchmarking, across all vendors, network capabilities and technologies, including 5G, private networks and OpenRAN.

Discover more

Digis Squared ◦ Enabling smarter networks.

INOS preview: new kits & new interface

At Mobile World Congress 2023, the “world’s largest and most influential connectivity event”, Digis Squared showcased a number of solutions. In this blog post Obeidallah Ali, Digis Squared RAN Automation Architect & INOS Product Manager, shares INOS previews from the Digis Squared MWC23 exhibition stand.

INOS preview at MWC23

At MWC23, the Digis Squared team showcased and previewed new INOS kits, and a new graphical user interface (GUI).

Preview: new INOS interface

The live demos on the Digis Squared exhibition stand included 4G and 5G analysis of the live mobile networks in Hall 7 at MWC23, and featured a real-time INOS dashboard with 6x specialist widgets.

  • Mobile monitoring status: battery status, script status, temperature, and log files. Enables mobile device control, including sending of new scripts, locking on a certain band, or shutting down and restarting the device.
  • Time charts of serving RSRP (power level) of 5G. (The video shows some spikes which may occur due to mobile movement or activity, which is considered normal.)
  • Map with satellite view, displays the precise location of the mobile device within Hall 7 at MWC23.
  • Table of Layer 3 messages, deep signalling layer information from the air interface.
  • Table of radio and mobile side events, including starting and ending scripts, and multiple radio events, such as attach/detach, RRC setup, and more.
  • Time charts and multiple KPIs for downlink and uplink throughput. During speed tests, the charts change dramatically and show test results in real-time.”

Preview: new INOS kits

At MWC23 the Digis Squared team previewed 5 new physical INOS kits, for different deployment and measurement scenarios,

  • Static: in-building continuous active measurement
  • Single device: highly portable
  • Backpack: for indoor assessment, or along narrow streets on foot, bicycle or moped, enabling access to tricky-to-reach locations
  • Compact: cost-efficient, light-weight and holding up to 6 devices
  • Drive testing: self-contained, rugged and portable kit, holding up to 26 devices.

INOS updates to chipset & handset support

MWC23: With thanks to Obeidallah Ali and the INOS team, and in particular R&D Engineer Yahia El-Ghayesh for his significant contribution to this demo and the development of the INOS kits.

INOS: Watch this space for further announcements!

If you or your team would like to discover more about our capabilities, please get in touch: use this link or email hello@DigisSquared.com

What is INOS?

Digis Squared’s INOS AI tool, developed in-house, is a vendor-agnostic, multi-network-technology solution delivering automated assessment, testing, benchmarking and optimisation of networks. Generating actionable reports in just 15 minutes, combined with live-view for instant adjustments, INOS significantly reduces the time taken to complete the work and opex cost, to deliver optimum customer experience.

INOS can be implemented as a public or private cloud, or on-premise solution, and is also available as a “Radio Testing as-a-service” model. Its extensive AI analysis and remote OTA capabilities ensure speedy and accurate assessment of all aspects of network testing: SSV, in-building and drive testing, network optimization and competitor benchmarking, across all vendors, network capabilities and technologies, including 5G, private networks and OpenRAN.

INOS is built with compute resources powered by Intel® Xeon® Scalable Processors. Digis Squared is a Partner within the Intel Network Builders ecosystem program, and a member of the Intel Partner Alliance.

Discover more

Digis Squared ◦ Enabling smarter networks.

MWC 2023 recap & INOS preview

Mobile World Congress 2023, the “world’s largest and most influential connectivity event”, saw over 88,500 attendees join over 2,400 exhibitors, sponsors and partners, and over 1,000 speakers and thought leaders, in Barcelona at the end of February. Gwen Edwards, Digis Squared Marketing Director, recaps the team’s success, and shares INOS previews from the exhibition stand.

MWC is back, in full force

GSMA Mobile World Congress 2023 saw over 88k people visit the Fira Gran Via over 4 days, and with all the halls and the North entrance re-opened, there was a significant change in energy – the magic of MWC was back in full force!

Digis Squared team at MWC23

Digis Squared team at MWC23, end of day 2 – a busy day!

Participating as part of the UK Pavilion, the Digis Squared team had a full schedule of client and partner meetings – plus plenty of surprise opportunities to catch up with former colleagues and meet new connections in real-life for the first time.

The Digis Squared team at MWC23 with, from top left, clockwise, Chris Lundh CEO of client and partner Africell Angola, Abou Moustafa VP at Du, with partner Invigo, with the Tenacity Works team, with Wei Yeang (Max) Toh at Intel, and bottom left, the Omani Regulatory Team.

Work with our partners is vital to the projects we deliver for clients, and MWC23 enabled the Digis Squared team to highlight their INOS solution on the vast Intel exhibition stand. As a Gold member of the Intel Network Builders Program, and a member of the Intel Partner Alliance, Digis Sqaured collaborates closely with the valued Intel team.

MWC23 Intel Network Builders & Digis Squared

As part of the UK Pavilion at MWC23, and in collaboration with the Department for Business & Trade, Digis Squared participated in a Panel Discussion on “VR, AR & Network Optimization”, alongside Mike Jackson from UK Gov, Ed Greig FRSA from Deloitte Digital, and James Lee Burgess FRSA from UrbanXR

AR, VR& Network Optimization Panel Discussion: click through for video

MWC always delivers great networking opportunities, and the “Africa Mobile & Digital Economy Leaders Reception” was a special highlight this year.

African Business: Africa Mobile & Digital Economy Leaders Reception

New INOS hardware & GUI preview

Digis Squared used MWC23 to showcase a preview of the new form factors for INOS*, and the new fully-featured user interface. Watch this space for further INOS updates coming soon!

Thank you MWC23

The Digis Squared team were delighted to be back at MWC23 as part of the UK Pavilion, thrilled to be able to preview the new INOS interface and kits, and grateful to the brilliant Tradefair and UK Department for Business & Trade teams for all of their support.

The Digis Squared team are already making plans and looking forward to being back in Barcelona at MWC in 2024 – who knows, maybe next year we can fit the #DeloitteDigitalDog with INOS, and he can test coverage throughout every hall!

If you or your team would like to discover more about our capabilities, please get in touch: use this link or email hello@DigisSquared.com

*What is INOS?

Digis Squared’s INOS AI tool, developed in-house, is a vendor-agnostic, multi-network-technology solution delivering automated assessment, testing, benchmarking and optimisation of networks. Generating actionable reports in just 15 minutes, combined with live-view for instant adjustments, INOS significantly reduces the time taken to complete the work and opex cost, to deliver optimum customer experience.

INOS can be implemented as a public or private cloud, or on-premise solution, and is also available as a “Radio Testing as-a-service” model. Its extensive AI analysis and remote OTA capabilities ensure speedy and accurate assessment of all aspects of network testing: SSV, in-building and drive testing, network optimization and competitor benchmarking, across all vendors, network capabilities and technologies, including 5G, private networks and OpenRAN.

INOS is built with compute resources powered by Intel® Xeon® Scalable Processors. Digis Squared is a Partner within the Intel Network Builders ecosystem program, and a member of the Intel Partner Alliance.

Discover more

  • Image credits: all images, as stated, and all others are copyright Digis Squared, except first image (Barcelona iStock).

Digis Squared ◦ Enabling smarter networks.

NFV deployment validation using INOS

Network Function Virtualization (NFV), is becoming increasingly important as mobile networks are being asked to handle an ever-growing number of connected devices and new use cases. In this article, Amr Ashraf, RAN and Software Solution Architect and Trainer, describes the benefits of NFV, capabilities and deployment considerations. Plus, we take a quick look at how Digis Squared’s powerful AI-tool, INOS, can help in the deployment validation of NFV.

Network Function Virtualization

Mobile virtualization – also known as network function virtualization (NFV) – is a powerful technology that has the capability to transform the way mobile networks are designed, deployed, and operated.

  • NFV enables the creation of virtualized mobile networks, and the isolation of different types of traffic on the same physical network infrastructure.
  • The creation of different virtual networks for different types of services or different user groups.
  • Multiple independent network operators to share a common infrastructure,
  • And improves the security of the network.

In this article, Amr Ashraf describes the benefits of NFV, capabilities and deployment considerations. Plus, we take a quick look at how Digis Squared’s powerful AI-tool, INOS, can help in the deployment validation of NFV.

The future of mobile network functions is virtual

Mobile virtualization is becoming increasingly important as mobile networks are being asked to handle an ever-growing number of connected devices and new use cases.

NFV & Infrastructure Sharing. One of the main benefits of mobile virtualization is that it allows for multiple independent network operators to share a common infrastructure. This can help to reduce the costs and complexity of building and maintaining mobile networks, and can also help to improve coverage and capacity in areas where it would otherwise be difficult or expensive to deploy new infrastructure.

NFV & Security. Mobile virtualization also helps to improve the security of the network by isolating different functions and providing a secure environment for each virtual network. This makes it an ideal solution for enterprise customers who need to maintain high levels of security for their sensitive data.

Deployment flexibility. Mobile virtualization is supported by software-based virtualized network functions (VNFs), which can be run on standard servers and storage systems, rather than specialized hardware. This makes it easy to scale and adapt the network to changing requirements. Additionally, it also makes it possible to deploy mobile virtualization solutions in a variety of different environments, including on-premises, in the cloud, or at the edge of the network.

NFV & 5G customisations. It’s worth noting that mobile virtualization is a key technology in building the 5G network. 5G network standards are designed to support network slicing, which can create multiple isolated virtual networks on top of a common physical infrastructure. This makes it possible to create customized solutions for different types of users and use cases, such as providing high-bandwidth services for multimedia applications, or low-latency services for industrial automation and control.

NFV is the future, and the future is now. Mobile virtualization is a rapidly evolving technology with considerable potential to transform the way mobile networks are designed, deployed, and operated. In the coming years, we expect to see more and more operators turning to mobile virtualization to meet the growing demands on their networks and stay competitive in the fast-changing mobile landscape.

Orchestration

Implementing mobile virtualization can present a number of technical challenges, including the management and orchestration of virtualized network functions (VNFs) and ensuring network security. Managing and orchestration of VNFs is a complex task, which involves provisioning and configuring VNFs, as well as ensuring their availability and performance. This is complicated by the fact that VNFs are software-based and can be deployed on a variety of hardware and virtualization platforms.

Security

As VNFs are software-based, they can be targeted by cyber-attacks just like any other type of software. Therefore, ensuring network security is vital when implementing mobile virtualization.

Additionally, virtualized networks may be vulnerable to new types of attacks that exploit the virtualization itself.

NFVO. One of the key solutions to these challenges is the use of network function management and orchestration (NFVO) systems. NFVOs automate the provisioning, configuration, and management of VNFs, and they help to ensure that the VNFs are highly available and perform well. They also play an important role in the orchestration of VNFs, which involves coordinating the actions of multiple VNFs to achieve a desired outcome.

Strong defences. Another key solution is the use of security solutions such as firewall, intrusion detection and prevention systems, secure VPN, and secure containers to protect the virtualized network, secure communication between virtualized functions, and protect virtualized infrastructure from unauthorized access.

Anomaly detection. Solutions based on artificial intelligence and machine learning can also be used to monitor and detect anomalies in the network, identify potential security threats, and take appropriate action to mitigate them.

Digis Squared recommend involving INOS Probe to undertake anomaly detection 24/7, and send these alerts to the CSP. Read more – Anomaly detection: using AI to identify, prioritise and resolve network issues.

Security strategy. In addition to these technical solutions, it’s also important to have a comprehensive security strategy in place to address any potential vulnerabilities and threats that may arise when implementing mobile virtualization. This can include implementing best practices for network design, conducting regular security assessments, and keeping systems and software up to date with the latest security patches and updates.

Skills & expertise. An often overlooked, yet important security consideration, is the need for skilled personnel who are well-versed in the technologies and best practices associated with mobile virtualization. As mobile virtualization is a complex technology that requires a deep understanding of network functions, security, and software development, it’s crucial to have a team of experts who can design, deploy, and maintain secure mobile virtualization solutions.

INOS & NFV

Drive testing can be used to validate the performance of virtualized network functions and ensure that they are providing the desired level of service. This can help to identify and troubleshoot any issues that may arise, such as poor performance or dropped connections. Drive testing can also be used to compare the performance of virtualized network functions with that of traditional, hardware-based network functions, in order to ensure that the virtualized functions are providing an equivalent or better level of service.

Digis Squared’s AI-solution INOS is an essential tool in the implementation and ongoing optimization of NFV. It helps to validate and troubleshoot virtualized network functions and ensure that they are providing an equivalent or better level of service compared to traditional, hardware-based network functions. Additionally, drive testing provides key information about the environment in which the network is deployed that can be used to optimize the deployment of virtualized network functions.

Conclusion

Mobile virtualization is a powerful technology that has the capability to transform the way mobile networks are designed, deployed, and operated. Key benefits it enables include,

  • The creation of virtualized mobile networks, and the isolation of different types of traffic on the same physical network infrastructure.
  • The creation of different virtual networks for different types of services or different user groups.
  • Multiple independent network operators to share a common infrastructure,
  • And improves the security of the network.

However, implementing mobile virtualization can present a number of technical challenges, including the management and orchestration of virtualized network functions (VNFs) and ensuring network security.

The use of network function management and orchestration (NFVO) systems, security solutions, AI/ML-based monitoring and anomaly-detection systems, and a comprehensive security strategy can help to mitigate these challenges.

Finally, NFV is a powerful, yet complex technology – it’s essential to work with an experienced team with deep expertise who can design, deploy, and maintain mobile virtualization solutions.

In conversation with Amr Ashraf, Digis Squared’s RAN and Software Solution Architect and Trainer.

If you or your team would like to discover more about our capabilities, please get in touch: use this link or email hello@DigisSquared.com

Find out more about INOS

INOS can be implemented as a public or private cloud, or on-premise solution, and is also available as a “Radio Testing as-a-service” model. Its extensive AI analysis and remote OTA capabilities ensure speedy and accurate assessment of all aspects of network testing: SSV, in-building and drive testing, network optimization and competitor benchmarking, across all vendors, network capabilities and technologies, including 5G, private networks and OpenRAN.

INOS is built with compute resources powered by Intel® Xeon® Scalable Processors. Digis Squared is a Partner within the Intel Network Builders ecosystem program, and a member of the Intel Partner Alliance.

See INOS in action at LEAP, Riyadh & MWC Barcelona

Digis Squared will be at LEAP in Riyadh at the start of February, as part of the UK Pavilion H4.G30, undertaking cloud-based INOS demos. Plus the team will be at MWC Barcelona at the end of February, with a full suite of all the INOS solutions and form factors on a dedicated exhibition stand Hall 7 B13.

Get in touch to arrange a dedicated time to meet: hello@DigisSquared.com

Discover more

Digis Squared ◦ Enabling smarter networks.

Anomaly detection: using AI to identify, prioritise and resolve network issues

Anomaly detection: efficiently identifying and resolving issues across mobile networks is vital for the success of any CSP or MNO. With 5G network deployment ramping up, and beyond that, work towards autonomous networks, the use of AI to handle anomalies is vital. In this article, Amr Ashraf, RAN and Software Solution Architect and Trainer, describes how CSPs can more efficiently identify and resolve the real issues hidden amongst all the noise.

This article is also available as a stand-alone paper, here.

Identifying the real issues hiding in all the noise

Data volumes are only going in one direction – there are substantial increases in data volume as more people connect online, with more devices, more solutions move to the cloud, continued changes in customer behaviour and movement of people and information across society, and more and more daily interactions move online. This increased volume of data also provides far greater noise for cyber threats to hide within. Whilst networks continue to perform well, and meet demand, efficient use of resources will become ever more important.

New tools and approaches are needed to be able to identify and resolve issues in all the noise.

Data from Statista, image credit World Economic Forum.

Anomaly detection and resolution: the role of AI

AI and ML provide the vital tools to handle this ever-growing volume of data. Soon – if not already – there will simply be too much data to analyse everything – but we can use AI to identify the unusual issues and outliers, and dig deeper into these anomalies.


The AI Hierarchy of Needs, Monica Rogati 2017
“How do we use AI and machine learning to get better at what we do?”. M.Rogati placed anomaly detection as a vital transformational step in providing a solid foundation for data before being effective with AI and ML.

Digis Squared & anomaly detection

Digis Squared’s INOS AI tool is a vendor-agnostic, multi-network-technology solution delivering automated assessment, testing and optimisation of networks, across all technologies. The data collected by INOS is analysed in the cloud-based AI engine, and it is here where anomalies are detected, assessed and actioned.

INOS: Three data collection methods

“INOS collects data in the field by one of three methods – a traditional “suitcase” format for drive testing, or a highly mobile backpack which can be used in narrow streets, or walking through shopping malls for example,” explains Amr Ashraf, RAN and Software Solution Architect and Trainer. “And this paper focusses on the third method, the static INOS active probe, and how the data it collects is analysed and actioned.”

A background image of a green landscape is overlaid with icons and photos of equipment. INOS

INOS active probe

“The active probe is a static box which is typically deployed inside a building – maybe a corporate HQ, a high-profile area within an airport, or a new business facility. Perhaps the location is selected because the CSP wants to proactively support a new VIP client, gather KPI data, or improve SLAs. Once deployed, the probe continuously monitors the networks, and data is streamed to the INOS platform in the cloud, where it is analysed by the INOS AI engine.”

“In the first step of the analysis, the data collected by the INOS active probe is used to identify QoE – the quality of experience – problems experienced by mobile devices in the probe. INOS will assess the data and carry out root-cause investigations to identify the fault that led to the problem. This is accomplished by gathering various performance measurements from several layers – the network, hardware, link, and operating system – which are then aggregated and delivered to INOS cloud.”

“To put it more specifically, the probe regularly initiates a test scenario while recording network, hardware, link, and OS measurements. Given that QoE problems can come from a variety of locations along the path, measuring the performance of each layer enables not only the detection of QoE problems, but also the determination of the problem’s root cause. A database on the INOS cloud receives aggregated metrics as soon as they are made available.”

Why use active probes?

“One of the best ways to understand how the end-user perceives the performance from beginning to end is using probes. They offer real-time and historical end-to-end call tracing, KPIs that continuously track network health and customer experience, and proactive alarming (QoE).”

“The two basic methods—probe measurements—that can improve performance and enrich end-to-end analysis (from the user terminal to the core network) are active and passive probe measurements, Because they give detailed information that enables service operators to assess the service quality across various transport technologies, probes play a significant role in the ever-increasing complexity of modern telecom networks.”

“By defining some parameters, the INOS probe uses AI models to detect anomalies in any field KPIs. For example, parameters such as deviation parentage and time windows can be used to calculate the deviation value. The example below for RSRP in LTE takes this approach, and identifies a deviation of 20%.”

INOS report of RSRP in LTE, identifying an anomaly with 20% deviation

“Additionally, INOS is able to assess data from other channels, including WhatsApp, Telegram, Twitter and email, and can assess behaviour of those apps for network anomalies too.”

Telegram Notification for a customer with certain Anomaly Detection

“To achieve the goal of end-to-end quality metrics, these probe measurements should be connected with numerous node-to-node performance data as well as customer data,” explains Amr.

“An integral view from the customer, network, service, or terminal perspective is provided by Digis Squared’s in-house developed INOS and RAI tools. Together these two AI-tools can proactively manage the network by continuously monitoring end-to-end KPIs, created from various perspectives in the network. They can immediately identify any deteriorating trends and anomalies, for example, dropped-call ratio and set-up times.”

“All Digis Squared’s tools are vendor agnostic – networks are such a complex mix of solutions, that our tools simply have to be able to work with and analyse data from all vendors. And, of course, they also handle data from all network technologies, legacy 2G platforms through to 5G, they’re designed for all of this.”

Prioritization: counter-intuitive approaches are sometimes best

The costs and impacts associated with low and medium-severity anomalies may be far greater than the total cost of high-severity issues – smaller issues are often harder to detect, and take longer to identify and implement a fix, so their compounded cost can be higher. AI can help ensure counter-intuitive approaches to assessing priority can be handled without bias.

“A proactive approach can save money in addition to ensuring high levels of customer satisfaction by reducing the number of trouble tickets and so optimizing resource allocation. The pre-defined INOS reports’ ability to show service quality makes root-cause investigation possible across all network layers.”

“Today, the Digis Squared AI tools are able to continuously receive data from active probes in the network, identify anomalies and negative trends. They are also able to identify root cause, and propose recommended solutions to fix the issue. Working with our clients, in some installations we enable those recommended fixes to be automatically implemented, ensuring that frequently occurring minor issues are identified and resolved automatically. Of course, all issues are included in reporting. This approach ensures that staff do not need to intervene in the mundane, predictable issues, and can instead focus on assessing the recommendations the system makes for more complex issues.”

Anomaly handling and autonomous networks

The use of AI in anomaly detection and, critically, resolution, has great value for legacy technologies, and even greater value for new technologies and transformations. It’s a vital step in network function virtualization (NFV), cloud-native computing (CNC) and software-defined networking (SDN) technologies. And provides important preparation for CSPs as they ready their organizations for operations based on autonomous networks.

“The Digis Squared INOS active probes are a vital tool in providing high-quality data on background network behaviour and performance,” shared Amr. “Using this, our AI tools are able to continuously assess the streamed data and identify anomalies, assess their root cause, and then propose and implement recommended actions. AI solutions like this will soon be the only way in which CSPs can efficiently identify and resolve the real issues hidden amongst all the vast quantities of noise.”

Find out more about INOS

INOS can be implemented as a public or private cloud, or on-premise solution, and is also available as a “Radio Testing as-a-service” model. Its extensive AI analysis and remote OTA capabilities ensure speedy and accurate assessment of all aspects of network testing: SSV, in-building and drive testing, network optimization and competitor benchmarking, across all vendors, network capabilities and technologies, including 5G, private networks and OpenRAN.

INOS is built with compute resources powered by Intel® Xeon® Scalable Processors. Digis Squared is a Partner within the Intel Network Builders ecosystem program, and a member of the Intel Partner Alliance.

In conversation with Amr Ashraf, Digis Squared’s RAN and Software Solution Architect and Trainer.

If you or your team would like to discover more about our capabilities, please get in touch: use this link or email hello@DigisSquared.com

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Digis Squared ◦ Enabling smarter networks.

Digis Squared & Private Networks

Yasser Elsabrouty, Digis Squared Chief Business Officer and Co-Founder, shares updates on the Private Network approach Digis Squared is undertaking for clients, and developments in the pipeline. But first, what is a Private Network?

 

What is a Private Network?

Built specifically for individual businesses or organisations, these dedicated LTE or 5G networks have typically been envisaged for mission-critical or highly secure environments. Increasingly however, businesses are deploying them to ensure robust coverage and capacity, reinforce intellectual property protection, and deliver commercial independence from the major network operators and CSPs within their physical business campus-environment.

Private Networks can be deployed in many different shapes and sizes, using various mix and match combinations of spectrum, applications and other factors.

Deployment

  • Dedicated, on-premise networks for both radio access network and core network
  • Hybrid use of some public mobile components plus dedicated on-premise components

Spectrum

  • Industrial: in some countries, regulators allocate specific licensed spectrum (Germany and Japan for example)
  • Shared: regulators allocate spectrum which is shared by multiple stakeholders, under license
  • Public: MNOs or CSPs lease part of their licensed spectrum to an enterprise for a fee
  • Unlicensed spectrum: assigned by the regulator, non-exclusive, free-to-use

 

 

Digis Squared & Private Networks

Digis Squared provides end-to-end System Integration services across multiple technologies including RAN, 4G/5G Core, Security, Messaging and Cloud, covering design, installation, testing, managed services operations.

Yasser Elsabrouty, Digis Squared Chief Business Officer and Co-Founder shares insights into the Private Network activity of the team.

“At Digis Squared, we are providing end to end Consultancy and System Integration services to build private networks to meet our customers’ needs. We work very flexibly with our clients – some know exactly what they need, and will ask Digis Squared to manage the System Integration, deployment and operational aspects of their pre-defined project. Others ask us to define all end to end elements: the deployment model, Spectrum, Radio details, Core network, orchestration and applications. Our teams are able to work with considerable flexibility, and according to the customer’s requirements and use cases to ensure they have and optimised Private Network which meets their needs.”

“We also offer predefined mix and match ‘off the shelf’ models that can be used as a starting point, and then adapt and deploy for the specific, customised and bespoke needs of each customer. We can take into account their specific requirements, including the size of the facility, devices deployed, which machines need to communicate with which departments, and other considerations. Some clients are looking at Private Networks to resolve specific coverage issues, or explore latency management for time-sensitive networks (TSNs). Whatever the scope of the Private Network, project our teams are enabling customers to scale up their businesses, serving more customers and satisfying the ever-increasing demand for private networks.ֿ”

“Using this mix-and-match method, we are developing profiles for different kinds of customers that can easily be implemented as needed, depending on size, area, number of sensors and cameras, or any other parameter. This approach will save time in deploying systems for customers, serving more customers while ensuring top-quality, optimised installations.”

 

 

If you would like to arrange a dedicated time to talk with the team, please get in touch, sales@digissquared.com

 

 

Digis Squared, independent telecoms expertise.

We transform telecom networks, deploy new technologies, and manage vendors, for operators, service providers and regulators.

Apply our expertise, automated AI-led tools and processes to transform your technical and commercial capabilities. We work with agility, deep experience, and our in-house cognitive tools to optimise and manage multi-vendor networks across all technologies.

 

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Image credit: Sarah Doffman (Birmingham)

Product update: cognitive tools “OpenRAN Ready”

 

Ahead of MWC22, Digis Squared’s CTO, Abdelrahman Fady, shares insights into ongoing development work on the Digis Squared suite of cognitive network testing and optimisation solutions, and declares tools “OpenRAN Ready”.

“The development teams in our Technology Centres in Cairo and London have been very busy enhancing the existing suite of cognitive tools to ensure that they are “OpenRAN Ready”. In advance of MWC next week, I’m really happy to share some of the key updates underway,” stated Abdelrahman.

Digis-One: technology and vendor agnostic Unified Fault Management

  • Can now connect with the big four legacy vendors and main OpenRAN vendors
  • Unifying all alarms from across all network systems and vendors into a single screen
  • OpenRAN solutions seamlessly integrated to a single view on one screen

iPM: intelligent technology and vendor agnostic network performance management platform

  • Able to connect to legacy vendors in addition to main OpenRAN vendors, and integrate their different performance files into a single unified database
  • Unify and visualize all these KPIs into a single coherent view on one screen, and represent them geographically
  • Single touch comparison between legacy vendors and OpenRAN vendors performance

INOS: technology and vendor agnostic intelligent network field testing and optimisation solution

  • New INOS OpenRAN testing and analytics module launched to easily identify gaps and differences in performance, L3 & L2 messages content and formats, network throughputs, and measure quality between OpenRAN and Legacy RAN sites
  • Forecasting of vulnerable areas after OpenRAN deployment
  • Automated acceptance report for new Open RAN sites

“If you want to learn about our new “OpenRAN Ready” cognitive network optimisation solution capabilities,” said Abdelrahman, “I will be pleased to meet with you in Barcelona next week, please get in touch!”

If you or your team would like to discover more about our capabilities, please get in touch: use this link or email sales@DigisSquared.com .

Addendum, 22 February 2022

LinkedIn ◦  Following Digis Squared’s earlier “OpenRAN Ready” solution announcement, Hazem Amiry, Regional Sales & Business Development Manager, shared that, “We’ve been working for some time now on an OpenRAN PoC with a very large operator in the Middle East, as the lead contractor on a project with a multi-awarding winning software-enabled OpenRAN solution provider. This project is enabling the team to learn first-hand the benefits of OpenRAN deployment, and ensure we are able to fully optimise our suite of cognitive tools to real-life, complex deployment issues efficiently.”

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Digis Squared, independent telecoms expertise.