Performance analysis of end-to-end SNR estimators for AF relaying

Abstract

Many existing signal-to-noise ratio (SNR) estimators were designed and evaluated for conventional onehop communications systems. However, for a relaying system, it is the end-to-end SNR that determines the system performance. In this paper, we will fill this gap by evaluating the performances of the existing SNR estimators in a dual-hop relaying system used for each hop. The probability density functions of the SNR estimators are first derived, whose parameters are fitted as functions of the sample size and the true value of SNR. Using them, the cumulative distribution functions of the end-to-end SNR and the bit error rate performance for a relaying system are derived. Numerical results show that the squared signal-to-noise variance estimator has the best performance for small SNRs and the second-order fourth-order moments estimator has the best performance for large SNRs, while the signal-to-variation ratio estimator has the worst performance, among the existing SNR estimators, for AF relaying systems.

Novel Energy-Harvesting AF Relaying Schemes With Channel Estimation Errors

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Inter-clustering Cooperative Relay Selection Schemes for 5G Device-to-device Communication Networks

“…Each relay i sends feedback to the source using the SNR value between the source and relay i as the input data to identify the best relay. The SNR of each relay was calculated as follows [25]:…”

Adaptive Modulation With CAZAC Preamble-Based Signal-to-Noise-Ratio Estimator in OFDM Cooperative Communication System

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