ADAPTIVE NEURO FUZZY BASED BEST RELAY(S) SELECTION IN TWO-HOP TWO-WAY RELAY CHANNELS

F. AKEEL, Y. PERVAIZ, I. KHAN, S. JAN, A. KHATTAK

Abstract


In this paper, we suggest an Adaptive Neuro Fuzzy Inference System (ANFIS) based two-way relay channels mechanism for user cooperative networks. The proposed technique is analyzed for multi-user and multi-relay cooperation, over Rayleigh, Nakagami and Rician fading channels. The Hybrid Frequency-Division Multiple Access-Time-Division Multiple Access (Hybrid FDMA-TDMA) is used to access multiple users. The two-hop two-way multiple-user cooperation is achieved by applying Physical Network Coding (PNC) at relay node. Fuzzy Inference System (FIS) produce relay ranking parameter using effective signal-to-noise ratio (SNR) and Cooperation gain as fuzzy parameters as two inputs to the controller at destination. The relay selection is then made by ANFIS using the relay selection parameter. Monte Carlo simulations are performed to obtain the cooperation gain and outage probability of the proposed relay selection scheme.

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