Iterative MMSE Transmit and Receive Filter Design for Frequency Selective MU-MISO Systems

Abstract

Abstract-We consider a multi-user multiple-input single-output (MU-MISO) scenario, where the decentralized users are served by a centralized transmitter with multiple channel inputs via frequency selective vector channels. For this broadcast setup, we jointly design the transmitter and receivers based on a minimum sum mean square error (MSE) criterion. Contrary to previous work in this field, we do not restrict the receivers to be scalar weights but employ finite impulse response (FIR) receive filters. Since the sum MSE minimization has no closed-form solution neither for linear precoding nor for Tomlinson-Harashima precoding (THP), we propose to use an alternating optimization and prove the convergence of the resulting iterative algorithm. The simulations show that the obtained linear and nonlinear precoding solutions with FIR receivers clearly outperform the state-of-the-art precoders with scalar receivers.

Iterative linear MMSE transmit and receive strategies for cellular MIMO networks

“…The second algorithm allows for cooperation among base stations and truly optimizes the precoders in a joint fashion. By using scalar receive filters we can avoid alternating optimizations between the receivers and the transmitters [21], [25], [26], which tend to converge slowly. Consequently, the entire signal processing takes place at the transmitter allowing for small and inexpensive receivers with little power consumption, low computational complexity, and long standby duration.…”