Energy-Efficient Path Selection Using SNR Correlation for Wireless Multi-Hop Cooperative Communications

Abstract

In this paper, we consider partial path selection (PPS) for a multi-hop decode-and-forward cooperative system with limited channel state information (CSI) feedback, where the PPS utilizes local CSI only for a subset of hops on each of all independent paths between a source and a destination to reduce the energy consumption for CSI feedback. To enhance the end-to-end performance of the PPS, we propose a novel PPS method with local CSI chosen by the correlation between the end-to-end signal-to-noise ratios (SNRs) based on global and local CSI under Nakagami-m fading channels. For each path, we pick a subset of hops to report CSI with the highest correlation for a given CSI feedback overhead requirement, which can achieve the similar end-to-end outage probability to the best path selection with global CSI. We provide an exact and closed-form expression for the SNR correlation coefficient and present an impact of the SNR correlation on the end-to-end outage probability.

A Review of Relay Assignment Problem in the Cooperative Wireless Sensor Networks

“…The SNR between every transmission pair is estimated based on their available channel state information and a transmission pair selects relays calculating the optimal SNR value [24][25][26].…”

Optimal Routing for Multi-User Multi-Hop Relay Networks Via Dynamic Programming

“…In [11], the authors derive analytical expressions for outage probability under Nakagami fading with consideration to diversity order for a DF multi-hop relay network with single relay node in each hop. A similar analysis is conducted in [12], where the authors study a multi-hop parallel relay network under Nakagami fading. As a result, the average end-to-end rate throughput is calculated either using the required per-hop-rate, the number of hops and the end-to-end outage probability [13] or using the allocated bandwidth and the spectral efficiency [14].…”