Joint iterative power allocation and interference suppression algorithm using MSER technique for wireless sensor networks

In this work, we consider a two-hop 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 stochastic gradient (SG) 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. We also consider feedback PA coefficients 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.