Achievable Rates and Optimal Resource Allocation for Imperfectly-Known Fading Relay Channels

TL;DR

This paper analyzes the achievable data rates in relay channels with imperfect channel knowledge, considering training-based estimation and optimizing resource allocation for amplify-and-forward and decode-and-forward schemes.

Contribution

It derives achievable rate expressions for imperfectly-known fading relay channels and proposes optimal resource allocation strategies based on these expressions.

Findings

Achievable rate expressions for relay channels with imperfect channel knowledge.

Optimal resource allocation strategies for different relaying schemes.

Insights into the impact of channel estimation errors on data rates.

Abstract

In this paper, achievable rates of imperfectly-known fading relay channels are studied. It is assumed that communication starts with the network training phase in which the receivers estimate the fading coefficients of their respective channels. In the data transmission phase, amplify-and-forward and decode-and-forward relaying schemes are considered, and the corresponding achievable rate expressions are obtained. The achievable rate expressions are then employed to identify the optimal resource allocation strategies.