Performance analysis of non-regenerative opportunistic relaying in Nakagami-m fading
Omer Waqar, Des McLernon, Mounir Ghogho
Abstract
Omer Waqar, Des McLernon, Mounir Ghogho
Abstract
Opportunistic relaying is an efficient way of acheiving diversity in wireless cooperative communication systems. In this paper, we analyze the performance of a proactive opportunistic non-regenerative relaying protocol, considering both maximum ratio combining (MRC) and selection combining (SC) schemes at the destination. We derive a closed-form expression for the cummulative distribution function (CDF) of the end-to-end signal-to-noise ratio (SNR) in the presence of Nakagami-m fading and a SC receiver. Utilizing this statistical result, we then derive a new closed-form expression for average symbol error probability (ASEP), valid for many generic modulations, assuming identical integer fading parameters. Furthermore, we also derive a new closed-form expression for the moment generating function (MGF) of the end-to-end SNR considering Nakagami-m fading environment and MRC at the destination. Moreover, using the MGF-based approach, we derive and analyze new closed-form expressions for ASEP when MRC is employed at the destination.
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Opportunistic relaying is an efficient way of acheiving diversity in wireless cooperative communication systems. In this paper, we analyze the performance of a proactive opportunistic non-regenerative relaying protocol, considering both maximum ratio combining (MRC) and selection combining (SC) schemes at the destination. We derive a closed-form expression for the cummulative distribution function (CDF) of the end-to-end signal-to-noise ratio (SNR) in the presence of Nakagami-m fading and a SC receiver. Utilizing this statistical result, we then derive a new closed-form expression for average symbol error probability (ASEP), valid for many generic modulations, assuming identical integer fading parameters. Furthermore, we also derive a new closed-form expression for the moment generating function (MGF) of the end-to-end SNR considering Nakagami-m fading environment and MRC at the destination. Moreover, using the MGF-based approach, we derive and analyze new closed-form expressions for ASEP when MRC is employed at the destination.
Key concepts: Nakagami distribution, Fading, Moment-generating function, Expression (computer science), Maximal-ratio combining, Signal-to-noise ratio (imaging), Computer science, Closed-form expression