Rate and Power Adaptation for Multihop Regenerative Relaying Systems

TL;DR

This paper analyzes multi-hop regenerative relaying systems with various fading models, proposing rate and power adaptation strategies based on channel information, and studies how topology and fading affect system reliability.

Contribution

It introduces a comprehensive framework for analyzing multi-hop relaying with generalized fading models and develops adaptive policies considering topology and fading effects.

Findings

Adaptive policies improve reliability under different fading conditions.

Relaying topology significantly impacts system performance.

Generalized fading models enable versatile analysis across RF and FSO links.

Abstract

In this work, we provide a global framework analysis of a multi-hop relaying systems wherein the transmitter (TX) communicates with the receiver (RX) through a set of intermediary relays deployed either in series or in parallel. Regenerative based relaying scheme is assumed such as the repetition-coded decoded-and-forward (DF) wherein the decoding is threshold-based. To reflect a wide range of fading, we introduce the generalized $H$-function (also termed as Fox-$H$ function) distribution model which enables the modeling of radio-frequency (RF) fading like Weibull and Gamma, as well as the free-space optic (FSO) such as the Double Generalized Gamma and M\'alaga fading. In this context, we introduce various power and rate adaptation policies based on the channel state information (CSI) availability at TX and RX. Finally, we address the effects of relaying topology, number of relays and fading model, etc, on the performance reliability of each link adaptation policy.