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Hardware efficient architecture for element-based lattice reduction aided K-Best detector for MIMO systems

Hardware efficient architecture for element-based lattice reduction aided K-Best detector for MIMO systems
Hardware efficient architecture for element-based lattice reduction aided K-Best detector for MIMO systems
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
2224-2708
Halak, Basel
8221f839-0dfd-4f81-9865-37def5f79f33
El-Hajjar, Mohammed
3a829028-a427-4123-b885-2bab81a44b6f
Hassanein, Ahmed
cf0590df-ab6b-49e7-959a-7b29e3f3789a
Halak, Basel
8221f839-0dfd-4f81-9865-37def5f79f33
El-Hajjar, Mohammed
3a829028-a427-4123-b885-2bab81a44b6f
Hassanein, Ahmed
cf0590df-ab6b-49e7-959a-7b29e3f3789a

Halak, Basel, El-Hajjar, Mohammed and Hassanein, Ahmed (2018) Hardware efficient architecture for element-based lattice reduction aided K-Best detector for MIMO systems. Journal of Sensors and Actuator networks, 7 (2). (doi:10.3390/jsan7020022).

Record type: Article

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

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Accepted/In Press date: 8 May 2018
e-pub ahead of print date: 15 May 2018

Identifiers

Local EPrints ID: 421068
URI: https://eprints.soton.ac.uk/id/eprint/421068
ISSN: 2224-2708
PURE UUID: d76b0ef9-54a5-47cc-a334-7a1320b48322
ORCID for Basel Halak: ORCID iD orcid.org/0000-0003-3470-7226
ORCID for Mohammed El-Hajjar: ORCID iD orcid.org/0000-0002-7987-1401

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Date deposited: 22 May 2018 16:30
Last modified: 17 Sep 2019 00:44

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Contributors

Author: Basel Halak ORCID iD
Author: Mohammed El-Hajjar ORCID iD
Author: Ahmed Hassanein

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