A network paradigm for very high capacity mobile and fixed telecommunications ecosystem sustainable evolution

TL;DR

This paper proposes a comprehensive deployment framework for very high capacity networks that enhances end-user experience and economic sustainability by optimizing bandwidth, reducing latency, and stabilizing connections through AI and edge computing.

Contribution

It introduces a novel end-to-end optimization framework combining video compression, AI-based line stabilization, and edge-cloud computing for sustainable VHC network evolution.

Findings

Improved end-user quality of experience through end-to-end optimization.

Enhanced economic sustainability for Telco operators.

Feasibility of supporting advanced services like virtual and augmented reality.

Abstract

For very high capacity networks (VHC), the main objective is to improve the quality of the end-user experience. This implies compliance with key performance indicators (KPIs) required by applications. Key performance indicators at the application level are throughput, download time, round trip time, and video delay. They depend on the end-to-end connection between the server and the end-user device. For VHC networks, Telco operators must provide the required application quality. Moreover, they must meet the objectives of economic sustainability. Today, Telco operators rarely achieve the above objectives, mainly due to the push to increase the bit-rate of access networks without considering the end-to-end KPIs of the applications. The main contribution of this paper concerns the definition of a deployment framework to address performance and cost issues for VHC networks. We show three actions on which it is necessary to focus. First, limiting bit-rate through video compression. Second, contain the rate of packet loss through artificial intelligence algorithms for line stabilization. Third, reduce latency (i.e., round-trip time) with edge-cloud computing. The concerted and gradual application of these measures can allow a Telco to get out of the ultra-broadband "trap" of the access network, as defined in the paper. We propose to work on end-to-end optimization of the bandwidth utilization ratio. This leads to a better performance experienced by the end-user. It also allows a Telco operator to create new business models and obtain new revenue streams at a sustainable cost. To give a clear example, we describe how to realize mobile virtual and augmented reality, which is one of the most challenging future services.