Hardware Efficient Architecture for Element-Based Lattice Reduction Aided K-Best Detector for MIMO Systems

Basel Halak,Ahmed Hassanein,Mohammed El-Hajjar

doi:10.3390/jsan7020022

Basel Halak, Ahmed Hassanein + Show 1 more

Open Access

https://doi.org/10.3390/jsan7020022

Copy DOI

Abstract

Multiple-Input Multiple-Output (MIMO) systems are characterised by increased capacity and improved performance compared to the single-input single-output (SISO) systems. One of the main challenge in the design of MIMO systems is the detection of the transmitted signals due to the interference caused by the multiple simultaneously transmitted symbols from the multiple transmit antennas. Several detection techniques have been proposed in the literature in order to reduce the detection complexity, while maintaining the required quality of service. Among these low-complexity techniques is the Lattice Reduction (LR), which can provide good performance and significantly lower complexity compared to Maximum Likelihood (ML) detector. In this paper we propose to use the so-called Element-based Lattice Reduction (ELR) combined with K-Best detector for the sake of attaining a better Bit Error Ratio (BER) performance and lower complexity than the conventional Lenstra, Lanstra, and Lovasz (LLL) LR-aided detection. Additionally, we propose a hardware implementation for the ELR-aided K-Best detector for a MIMO system equipped with four transmit and four receive antennas. The ELR-aided K-Best detector requires an extra 18% increase in power consumption and an extra 20% in area overhead compared to a regular K-Best detector dispensing with ELR, where this increase in the hardware requirements is needed in order to achieve a 2 dB performance improvement at a bit error rate of 10−5.

Highlights

The demand for high data rate wireless services combined with the requirement for an increased Quality of Service (QoS) is driving the research and innovation in the wireless communications networks
We have proposed in [19] an Element-based Lattice Reduction (ELR)-aided K-Best detector that is capable of outperforming the LLL-aided detectors when used for large-scale Multiple-Input Multiple-Output (MIMO) at a reduced complexity
We proposed an ELR-aided K-Best detector with its hardware implementation, that is capable of improving the performance of the Lattice Reduction (LR)-aided K-Best detectors for MIMO systems

Summary

Introduction

The demand for high data rate wireless services combined with the requirement for an increased Quality of Service (QoS) is driving the research and innovation in the wireless communications networks. Multiple-Input Multiple-Output (MIMO) techniques are characterised by an increased capacity as well as improved performance and the research in the MIMO design has seen a great interest for the last few years [1,2,3]. MIMOs can be used to attain a multiplexing gain, where different transmit antennas transmit different symbols at the same time and using the same frequency. This increases the system throughput at the expense of having a more complex receiver for the sake of removing the interference imposed by the simultaneously transmitted symbols. In large-scale MIMO systems, one of the main challenges is to reduce the detection complexity [6,7,8]

Objectives

Methods

Findings

Conclusion