Joint Power Adjustment and Receiver Design for Distributed Space-Time Coded in Cooperative MIMO Systems

TL;DR

This paper proposes a joint power allocation and MMSE receiver design for cooperative MIMO systems with distributed space-time coding, improving performance over equal power schemes through a stochastic gradient optimization.

Contribution

It introduces a novel joint constrained optimization algorithm and a stochastic gradient method for efficient power and receiver parameter estimation in cooperative MIMO networks.

Findings

Enhanced system performance with the proposed algorithm

Significant gains over equal power allocation

Reduced computational complexity through stochastic gradient approach

Abstract

In this paper, a joint power allocation algorithm with minimum mean-squared error (MMSE) receiver for a cooperative Multiple-Input and Multiple-Output (MIMO) network which employs multiple relays and a Decode-and-Forward (DF) strategy is proposed. A Distributed Space-Time Coding (DSTC) scheme is applied in each relay node. We present a joint constrained optimization algorithm to determine the power allocation parameters and the MMSE receive filter parameter vectors for each transmitted symbol in each link, as well as the channel coefficients matrix. A Stochastic Gradient (SG) algorithm is derived for the calculation of the joint optimization in order to release the receiver from the massive calculation complexity for the MMSE receive filter and power allocation parameters. The simulation results indicate that the proposed algorithm obtains gains compared to the equal power allocation system.