Throughput of One-Hop Wireless Networks with Noisy Feedback Channel

TL;DR

This paper analyzes how noisy feedback channels impact the throughput of one-hop wireless networks, showing that below a certain error probability threshold, throughput remains unaffected, which guides error correction design.

Contribution

It introduces a model for feedback errors in one-hop wireless networks and determines the threshold below which throughput degradation is negligible.

Findings

Throughput remains stable if feedback error probability is below a network-dependent threshold.

The threshold depends on network size and channel fading distribution.

Results inform the design of error correction codes for feedback channels.

Abstract

In this paper, we consider the effect of feedback channel error on the throughput of one-hop wireless networks under the random connection model. The transmission strategy is based on activating source-destination pairs with strongest direct links. While these activated pairs are identified based on Channel State Information (CSI) at the receive side, the transmit side will be provided with a noisy version of this information via the feedback channel. Such error will degrade network throughput, as we investigate in this paper. Our results show that if the feedback error probability is below a given threshold, network can tolerate such error without any significant throughput loss. The threshold value depends on the number of nodes in the network and the channel fading distribution. Such analysis is crucial in design of error correction codes for feedback channel in such networks.