An Extremely Flexible, Energy, and Spectral Effective Green PHY-MAC for Profitable Ubiquitous Rural and Remote 5G/B5G IoT/M2M Communications

TL;DR

This paper introduces a highly adaptable Green PHY-MAC framework for 5G/B5G IoT/M2M communications, focusing on optimizing energy, spectral efficiency, and throughput through invariant criteria and smart control techniques.

Contribution

It develops invariant criteria based on Shannon capacity for 5G physical and MAC layers and proposes smart distributed control methods for real-time optimization.

Findings

Proved fundamental throughput limits and extremums of energy, power, and spectral efficiency.

Designed invariant criteria suitable for 5G performance optimization.

Proposed smart control techniques for on-the-fly optimization and trade-offs.

Abstract

In this paper, the fundamental throughput limits and extremums of the invariant criteria of energy, power and spectral efficiency of the physical layer (PHY) and medium access control (MAC) sublayer are proved. The invariant criteria are constructed relying on Shannon m-ary digital channel capacity which a rich palette of the technically interpreted physical and control parameters consider. Therefore, the invariant criteria as very suitable for research and design of the fifth generation (5G) communications extremely performance problems are found. The smart distributed control techniques which able implements on-the-fly the limits close and invariant criterion optimization or trade-off is proposed. Such smart control techniques represent a key disruptive technology meet the 5G and Beyond 5G network challenges.