Abstract
Abstract Antenna correlation is generally viewed as an obstacle to realize the desired performance of a wireless system. In this article, we investigate the performance of partial relay selection in the presence of antenna correlation. We consider both channel state information (csi)-assisted and fixed gain amplify-and-forward (AF) relay schemes. The source and the destination are equipped with multiple antennas communicating via the best first hop signal-to-noise ratio (SNR) relay. We derived the closed form expression for outage probability, average symbol error rate (SER) for both schemes. Further, an exact expression is derived for the ergodic capacity in the csi-assisted relay case and an approximated expression is considered for the fixed gain case. Moreover, we provide simple asymptotic results and show that the diversity order of the system remains unchanged with the effect of antenna correlation for both types of relay schemes.
Highlights
Two-hop amplify-and-forward (AF) relay networks have been investigated extensively in recent research [1-4]
Several authors have studied the effect of antenna correlation in AF relay schemes
We have investigated the performance of a partial relay selection network with the effect of antenna correlation at the source and the destination
Summary
Two-hop amplify-and-forward (AF) relay networks have been investigated extensively in recent research [1-4]. We derive closed-form expressions for outage probability, average SER, generalized moments of the end-to-end SNR and ergodic capacity. It is observed from the fixed gain asymptotic outage expression that the diversity gain of the system is similar to the csi-assisted relay scheme. In both figures it is observed that the increase of number of antennas and the number of relays improve the average SER. Carlo simulations exactly coincide with the analytical ones for csi-assisted one and are closely compatible with the approximated fixed gain ergodic capacity
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More From: EURASIP Journal on Wireless Communications and Networking
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