Block Diagonalization Type Precoding Algorithms for IEEE 802.11ac Systems

TL;DR

This paper proposes and evaluates block diagonalization-based precoding algorithms tailored for IEEE 802.11ac WLAN systems, focusing on suppressing multi-user interference and optimizing sum-rate and BER performance.

Contribution

It introduces implementation schemes for BD precoding in IEEE 802.11ac and identifies the most computationally efficient and high-performing algorithm.

Findings

Achieved significant interference suppression in WLAN systems.

Identified the optimal algorithm balancing complexity and performance.

Demonstrated improved sum-rate and BER metrics.

Abstract

Block diagonalization (BD) based precoding schemes are well-known linear transmit strategies employed in the downlink of multi-user multiple-input multipleoutput (MU-MIMO) systems. BD type precoding algorithms employed at the transmit side effect the suppression of multi-user interference (MUI) by the decomposition of MU-MIMO broadcast channel into multiple single-user MIMO (SU-MIMO) channels followed by parallelization of the SU-MIMO channels to obtain independent streams of each user. Given that the design of linear precoding algorithms has made significant progress, the implementation of these techniques in standards for wireless local area networks (WLAN) remains an open question. In this work, schemes for implementation of BD based precoding techniques in the framework of IEEE 802.11ac standard are proposed followed by performance evaluation of these techniques in the proposed framework. I analyze the sum-rate and the bit-error-rate (BER) performance of the techniques in my framework and obtain computational complexity-wise as well as performance-wise optimal algorithm for my system.