Mobile data consumption is growing exponentially with the rapid growth of smartphones/tablets and bandwidth-hungry applications (Video/Music Streaming, Rich Media Communication and personal Cloud services, etc.) that they run. Analysts predict that Wireless Data Traffic will increase by 300% in 2017, compared with what it was in 2012.
In the first part of this blog “Towards 5G, Artificial neural networks and EDGE computing-Part 1”, we discussed the basic understanding of 5G, EDGE and ANN (Artificial neural networks). In this blog, we will see how 5G along with ANN and edge, can play a pivotal role in the communication evaluation. 5G communication needs higher bandwidth and lower latency, but the existing backbone internet doesn’t keep up with the above requirement due to the store and forward design and network congestion. So, to overcome this, the 5G network needs to process huge big data at edge itself and have better storage capability, as well as advanced CPU and GPU computing for intelligent decision. These requirements can be fulfilled by a combination of edge computing and artificial neural network-based machine learning algorithms effectively.
The digital disruption will be the new age digital revolution similar to the 1700s or early 1800s industrial revolution and its impact on modern society. Mobile data traffic is rising rapidly due to new paradigms such as virtual reality, augmentation reality, mixed reality, autonomous vehicle, V2X, real time multi-player gaming, massive IoT like billions of connected intelligent IoT devices, and sensors. With billions of connected devices, the end user has a multifold growing number of connections. So, existing network technologies are fast becoming inept at handling these kinds of new communication wave which need improved energy efficiency model, ultra-low latency and high bandwidth requirements.
In this blog, the author discusses the 5th generation network system, EDGE computing, neural network-based machine learning models and its application on edge systems and 5th generation communication network.
There is a plethora of innovation happening in the telco eco-system to define a new business paradigm based on 5G architecture. While we can assume every innovation is an acceleration, the author talks about the linear acceleration which helps the 4G to 5G transition seamless and less overwhelming. In other words instead of directly jumping on to a new 5G network, carriers needs to address the current sub optimal 4G infrastructure to deliver higher speed with guaranteed SLAs.
If there is one industry which can be revolutionized with the advent of Analytics, AI and ML technologies, it is in the Contact Center (CC) space. Today, 9 out of 10 businesses differentiate themselves based on Customer Experience (CX) and Employee Experience (EX), which have by far, become the two of the most important success factors for any new or existing product or service. As an industry, Contact Centers have existed for more than 3 decades, but the real Transformation to CC 2.0 is becoming real now with the introduction of Omni-channel Communication, Virtual Assistants & Chatbots, Customization based on API, Cloud deployment and most importantly, advanced Customer Journeys integrated with end to end enterprise eco-system.
The proliferation of 5G will enable advertisers to develop interactive advertising experiences which are routed directly to an individual. With faster loading of landing pages and videos, users will be more engaged and connected with content and creative advertising messages. It is very likely, that the proliferation of 5G will require advertisers to change how they ideate and conceive of messaging.
To address issues with data capacity, network efficiency, and performance, telco players have been deploying Small Cell for years. In 5G NR, Small Cell will also operate at higher frequency bandwidth, such as 28GHz or 70GHz. Some of the non-traditional service providers are going to deploy Small Cells, because they already have fiber lines deployed and Small Cells will help them in improving their returns on fiber investment.
With 5G under trials, the question is whether OSS/BSS is ready to support 5G solutions. Do 3 core technologies of 5G namely 5G NR, Virtualization and Network slicing require any changes in traditional OSS/BSS approach? This blog talks about the emergence of 5G solutions, the challenges that 5G imposes on OSS/BSS and explores various standards, researches for the impact of 5G on OSS/BSS at a high level.
Cloud, network slicing, and edge computing technologies and processes are changing the way that it is being put to use for service providers. It has to be admitted that with different purposes, 5G performance expectations are found wanting with current network topology. Under certain requirements of performance for some of the use cases, using edge computing becomes imperative; this necessitates bringing the cloud to the ground. This is particularly true for cases where the key drivers for service providers are ultra-low latency and high throughput.
With a plethora of connected devices, the drive to support diverse use cases across industrial IoT platform scope needs to go beyond device management functions (Onboarding, provisioning, monitoring, and maintaining). A comprehensive unified platform with end-to-end device lifecycle management solution addressing customer experience, operations, and security across industries in a holistic manner is the future of IoT device management platforms.
