Nov 10, 2020
Convergence of CSPs (Cloud Service Providers & Communication service providers -Telco’s/TSPs)
Nov 10, 2020
Convergence of CSPs (Cloud Service Providers & Communication service providers -Telco’s/TSPs)
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.
With the emergence of 5G as an integral part in enterprise digital transformation and enabler of Industry 4.0, telecoms are consistently striving to innovate and deliver 5G use cases. The partners and ecosystem play a crucial role in shaping up a modern telco and future-proof 5G. But, with increasing complexities and changing dynamics of the ecosystem, it becomes increasingly important to pick the right building blocks for the modernization journey. The role of service integrators now is more pivotal than ever and HCL’s rich pedigree in technology innovation can be the change catalyst and help Telcos in accelerating their transition and transformation journey.
Mobile communication systems change with the arrival of every decade. With the changes from 1G to 4G /LTE until 2019, the next advancement in this area is the arrival of 5G systems for mobile communication. 5G when rolled out will act as the base for lower or zero latency, greater speed and faster file transfer thereby addressing to the needs of Internet of Everything. This speed in upload and download of data will revolutionize the society at large the way we live, visualize and all our future interactions with both real and virtual world thereby providing far greater experiences than what we have experienced until now.
As we roll out 5G at scale, there are many areas which will grow faster such as AR/VR, Education, Media & Entertainment, Healthcare, AI and IoT. 5G removes the mere concept of streaming loss as app streaming will be really superfast thereby removing buffering needs and thus provide better user experience and bring about changes across industry segments in areaswhich were originally working in a restricted way.
In this blog, you will get to know how 5G can revolutionize XR application development in the coming years and scaling XR to the mainstream.
The pace of transformation in the telco system over the last few years has increased manifold. Such telco digital transformation is due to the adoption of delivery based on network functions virtualization (NFV) as opposed to traditional custom hardware for custom network function models, which dominated the telcos for decades.
How Telcos and Cloud service providers are converging with evolution of 5G?Will Cloud service providers become Telcos in future? This blog talks about the journey of the Telcos and Cloud service providers since decades and sharing the point of view on future aspects in expanding their presence in commercial and consumer markets.
With the evolution of 5G and associated use cases (IOT, Connected vehicles, reliable real-time communication in industrial scenarios, AR/VR, ultra-low latency cloud gaming, game streaming etc.),Are Cloud service providers like Microsoft, Amazon, and Google becoming Telcos? Let’s see how the journey of both the CSPs (Cloud and communication service providers) evolved over the last few decades, resulting in strategic partnerships in this blog
enterprises identified the needs of dedicated device connectivity at a very early stage. However, the cost of setting up robust connectivity infrastructure was very high. Human communication infrastructure (broadband, 2G, 3G, and LTE) followed later. After that, ecosystem players conducted trials to fulfil the needs of device communication over human communication infrastructure. This revealed that the device communication needs were quite different when compared to human communication needs.
With the understanding of device communication came the shift to LPWAN. But even that solved the problem partially. Requirements like high speed and faster response of mission-critical applications required a different kind of network. Know how private LTE came to be the answer here.
As part of the HCL’s 5G strategy, critical investments are being driven to enhance HCL’s play in the 5G Ecosystem. As the Radio Access Network (RAN) gets ‘opened’ or disaggregated, there is plenty of scope for new players to provide radio focused or controller focused solutions. This is the O-RAN buzz that has captured the Telecom news and we in HCL’s Telecom Strategy and Solutions group (SSG) believe there is scope and opportunity for HCL to provide services that will help both vendors and CSPs accelerate their deployment and improve RoI margins.
This blog describes one of HCL’s strategic investments in the 5G space. As the telecom industry gears up for large scale 5G adoption, the scope for integration and orchestration as-a-service is in demand. The HCL O-RAN lab is one of HCL’s offerings which is targeted to help OEMs accelerate 5G adoption and deployment.
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.
