Adaptive Joint Power Allocation and Interference Suppression Algorithm Based on MSER Criterion for Wireless Sensor Networks

In this work, we consider a two-bop wireless sensor network with multiple relay nodes where the amplify-and-forward (AF) scheme is employed. We present an algorithm to jointly perform interference suppression and power allocation (PA) based on the minimization of the symbol error rate (SER) cost function. We develop a conjugate gradient (CG) algorithm based on the minimum-SER (MSER) criterion to jointly update the parameter vector that allocates the power levels among the relay sensors subject to a power constraint and the linear receiver. Feedback PA coefficients are considered in the proposed algorithms. Destination nodes transmit the quantized PA vector to the relay nodes by a limited-feedback channel. The simulation results show that the proposed adaptive algorithm significantly outperforms the conventional schemes.