A New Training Protocol for Channel State Estimation in Wireless Relay Networks

TL;DR

This paper proposes a novel training protocol for wireless relay networks that enhances channel state information accuracy and transfer speed, leading to increased network capacity.

Contribution

It introduces a feedforwarding-based training protocol that improves CSI transfer and demonstrates its impact on network capacity with various CSI accuracy levels.

Findings

Feedforwarding improves CSI transfer speed.

Enhanced CSI accuracy increases network capacity.

Protocol outperforms existing methods in simulations.

Abstract

The accuracy of channel state information (CSI) is critical for improving the capacity of wireless networks. In this paper, we introduce a training protocol for wireless relay networks that uses channel estimation and feedforwarding methods. The feedforwarding method is the distinctive feature of the proposed protocol. As we show, each relay feedforwards the imperfect CSI to the destination in a way that provides a higher network capacity and a faster transfer of the CSI than the existing protocols. In addition, we show the importance of the effective CSI accuracy on the wireless relay network capacity by comparing networks with the perfect effective CSI, imperfect effective CSI, and noisy imperfect effective CSI available at the destination.