Performance of Adaptive Link Selection with Buffer-Aided Relays in Underlay Cognitive Networks

TL;DR

This paper analyzes the performance of adaptive link selection with buffer-aided relays in underlay cognitive networks, focusing on rate, error rate, and delay trade-offs through analytical expressions and simulations.

Contribution

It introduces a channel-aware buffer-aided relay scheme with peak constraints and compares it with conventional schemes, including delay analysis and buffer management strategies.

Findings

Adaptive link selection improves throughput under peak constraints.

Buffer-aided relays outperform non-buffered schemes in certain conditions.

Trade-offs exist between delay, throughput, and error rate.

Abstract

In this paper, we investigate the performance of a three-node dual-hop cognitive radio network (CRN) with a half-duplex (HD) decode-and-forward (DF) buffer-aided relay. We derive expressions for the average rate and symbol error rate (SER) performance of an adaptive link selection based channel-aware buffer-aided relay (CABR) scheme that imposes peak-power and peak-interference constraints on the secondary nodes, and compare them with those of conventional non-buffer-aided relay (CNBR) and conventional buffer-aided relay (CBR) schemes for a delay-tolerant system. For finite-delay systems, we analyze the performance of a modified threshold-based scheme for fixed-rate transmission, and demonstrate that use of a last-in-first-out buffer is advantageous in some situations. We bring out the trade-offs between delay, throughput and SER. Computer simulation results are presented to demonstrate accuracy of the derived expressions.