Anomaly Detection on 5G: Possibilities and Opportunities

The much-awaited revolution is nearly here.

While the 5G PR machinery has been on a roll for a while now, there’s finally a clear picture of when exactly we can expect the technology to hit our shores. Come March 2020, and India will be witness to the latest advancements in cellular technology, entailing some very impressive features and benefits.

As the world has moved from connected devices to cars and further on to factories, the need for enhanced communication technology has amplified multiple fold. The introduction of 5G, which will offer blazing data speeds, minimised latency and higher system capacity at reduced costs, will thus open up an unprecedented range of applications.

Why’s there so much hype this time around? What’s the big difference?

Though you may be forgiven for thinking that 5G is just another generation of communication technology, the truth is that it will usher in a world of difference in terms of performance and operations. Let’s take a quick look at the highlights of what the previous generations of technology have offered before we compare just the last two:

  • 1G – Voice calls
  • 2G – Voice calls + messaging
  • 3G – Voice calls + messaging + multimedia & internet data services
  • 4G LTE – High speed (functionalities mostly the same)

Now, it’s from 4G to 5G that there’s been the biggest leap yet – both in terms of performance and the way the whole setup operates. Here’s a summarised comparison of the major metrics in both the bands:

What’s interesting to note is that while 5G can support a much higher device density at blazing fast speeds when compared to 4G, it requires a tower every 300 metres. In other words, its range is considerably shorter than that of 4G due to its usage of high frequency signals, which cannot travel very long distances.

Yet, the promise of 5G is immense – just the fact that it embodies three features, viz, unparalleled speed, device coverage density and low latency, alone makes it ideal for fundamentally new use cases in applications and business models across a variety of industries including retail, transport, government and entertainment. Let’s take a look at some of these.

The perks

Some of the most progressive advancements in digital transformation are yet to see the light of day for want of 5G technology to ensure feasibility as well as scalability. A few of the major applications urgently awaiting the breakthrough are listed below:

  • Self-driving, connected cars: The extremely low latency of 5G networks will be able to facilitate decisions for autonomous vehicles on a real-time basis. This in turn can help reduce and eventually eliminate road accidents, leading to safer, smoother traffic – a major necessity in today’s increasingly populated and frenzied times.
  • IoT networks: With the number of IoT-enabled devices set to explode in just about a year (12.86 billion sensors and devices will be deployed in the consumer segment alone by 2020, according to Forbes estimates), faster, more streamlined communication among the growing number of devices is rapidly turning from a ‘nice-to-have’ into a ‘need-to-have’. The only technology capable of supporting this proliferation of devices is 5G, which will therefore play a critical role in the continued development of smart factories and manufacturing processes.
  • Real-time robotic surgeries: The exceptional speed and low latency of 5G will, for the first time, make it possible to support remote execution of surgeries, with doctors and patients literally located on opposite sides of the world – and artificial intelligence (AI) and machine learning (ML) enabled robots carrying out the necessary procedures.
  • Smart watches, VR, AR and drones: A large number of relatively new inventions that require constant interactions with the environment/ other devices to enable accurate, seamless operations have been unable to witness full-fledged rollouts due to a lack of the speed and bandwidth afforded by 5G.

Proactively eliminating known and latent risks: Anomaly Detection on 5G

It’s inevitable that with the emergence of new inventions and technologies, there will arise new challenges. However, taking appropriate counter measures can help business overcome these challenges, effectively mitigating the associated risks involved.

At CrunchMetrics, that’s exactly what we aim to do. We leverage a combination of statistical methods and AI and ML-based algorithms to detect anomalies in your data and alert you in real time – so that you can take preventive action to avert business-critical issues and leverage profit-generating opportunities. A few of our use cases are explained below:

  • Network Operations: With increased speeds, networks become more vulnerable to hackers, viruses or other malicious threats that can halt operations for anything ranging from a few minutes to a number of hours. Anomaly detection can proactively identify such threats before they happen, and immediately alert telecom providers to take appropriate action and manage the threat.
  • Customer Experience: With towers placed at distances of 300 metres each, telecom operators are required to keep a close tab on a large number of assets to ensure high network connectivity at all times, as even the slightest drop in connectivity can lead to dissatisfied users. CrunchMetrics constantly monitors upload and download speeds and immediately alerts operators in case of a significant decrease in either case, so that they can deploy resources as quickly as possible to resolve the glitch.
  • Infrastructure management: The introduction of 5G entails the use of considerable new infrastructure in the form of hardware, software and algorithms to enable 5G, for instance, mmWaves (millimetre waves), multi user massive MIMO (Multi Input Multi Output), beamforming, small cells and full duplex. These functions like the links of a long chain. Now, it’s a well-known fact that the more the number of links in a chain, the higher its vulnerability. With CrunchMetrics’ automated anomaly detection, any long-term or short-term breakdowns can be taken care of by instantaneously alerting users when anomalies are detected during routine monitoring of metrics.

CrunchMetrics is an AI-powered real-time anomaly detection tool, which can be leveraged to automatically identify anomalies in a number of key performance indicators across telecom processes.

How well protected are you against future, apparently “unpredictable” incidents? Are you willing to leave business stability and continuity to chance? Find out what you can do to arrive at favourable answers to both these questions – request a demo now, or get in touch with us to schedule a quick, friendly discussion to explore your options.

Author the author:  Pratap Dangeti is the Principal Data Scientist at CrunchMetrics. He has close to nine years of experience in the field of analytics, across domains such as banking, IT, credit & risk, manufacturing, hi-tech, utilities and telecom. His technical expertise includes statistical modelling, machine learning, big data, deep learning, NLP and artificial intelligence. As a hobby, he has written two books in the field of machine learning and NLP.

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