FPGA Implementation of Multi-User Detection Genetic Algorithm Tool for SDMA-OFDM Systems
Robust multi-user detection (MUD) methods based on space division multiple access (SDMA) techniques are essential to efficiently exploit the electromagnetic spectrum. In this paper, an adaptive Genetic Algorithm-based tool for SDMA-OFDM Systems (GASOS) is developed to improve the performance and com...
Saved in:
Main Authors: | , , , |
---|---|
Format: | Article |
Published: |
Kluwer (now part of Springer)
2016
|
Subjects: | |
Online Access: | http://eprints.um.edu.my/18193/ https://doi.org/10.1007/s11277-015-2986-x |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
id |
my.um.eprints.18193 |
---|---|
record_format |
eprints |
spelling |
my.um.eprints.181932017-11-09T04:11:45Z http://eprints.um.edu.my/18193/ FPGA Implementation of Multi-User Detection Genetic Algorithm Tool for SDMA-OFDM Systems Alansi, M. Elshafiey, I. Al-Sanie, A. Mabrouk, A. TK Electrical engineering. Electronics Nuclear engineering Robust multi-user detection (MUD) methods based on space division multiple access (SDMA) techniques are essential to efficiently exploit the electromagnetic spectrum. In this paper, an adaptive Genetic Algorithm-based tool for SDMA-OFDM Systems (GASOS) is developed to improve the performance and computational complexity in cases of fully-loaded and overloaded multi-user scenarios. The data flow in GASOS is appropriate in pipelining and parallelization to reduce operational time. A new GASOS-based MUD hardware design for SDMA-OFDM systems is proposed using FPGA architecture. The design details are presented together with their planned operational modules. Resource utilization is optimized, and the total number of clock cycles required is found to be 15 initially, in addition to one clock cycle per member of algorithm population. A clock frequency of 100 MHz is used and implementation is carried out on Xilinx® Virtex-6 FPGA, built in the development platform ML605 edition with JTAG Hardware Co-simulation. According to the results obtained from the developed algorithm and implementation tools, a high number of users can be physically possible and provided with support. Real-time based implementation of MUD systems has the potential to play a major role in next-generation communication systems. Kluwer (now part of Springer) 2016 Article PeerReviewed Alansi, M. and Elshafiey, I. and Al-Sanie, A. and Mabrouk, A. (2016) FPGA Implementation of Multi-User Detection Genetic Algorithm Tool for SDMA-OFDM Systems. Wireless Personal Communications, 86 (3). pp. 1241-1263. ISSN 0929-6212 https://doi.org/10.1007/s11277-015-2986-x doi:10.1007/s11277-015-2986-x |
institution |
Universiti Malaya |
building |
UM Library |
collection |
Institutional Repository |
continent |
Asia |
country |
Malaysia |
content_provider |
Universiti Malaya |
content_source |
UM Research Repository |
url_provider |
http://eprints.um.edu.my/ |
topic |
TK Electrical engineering. Electronics Nuclear engineering |
spellingShingle |
TK Electrical engineering. Electronics Nuclear engineering Alansi, M. Elshafiey, I. Al-Sanie, A. Mabrouk, A. FPGA Implementation of Multi-User Detection Genetic Algorithm Tool for SDMA-OFDM Systems |
description |
Robust multi-user detection (MUD) methods based on space division multiple access (SDMA) techniques are essential to efficiently exploit the electromagnetic spectrum. In this paper, an adaptive Genetic Algorithm-based tool for SDMA-OFDM Systems (GASOS) is developed to improve the performance and computational complexity in cases of fully-loaded and overloaded multi-user scenarios. The data flow in GASOS is appropriate in pipelining and parallelization to reduce operational time. A new GASOS-based MUD hardware design for SDMA-OFDM systems is proposed using FPGA architecture. The design details are presented together with their planned operational modules. Resource utilization is optimized, and the total number of clock cycles required is found to be 15 initially, in addition to one clock cycle per member of algorithm population. A clock frequency of 100 MHz is used and implementation is carried out on Xilinx® Virtex-6 FPGA, built in the development platform ML605 edition with JTAG Hardware Co-simulation. According to the results obtained from the developed algorithm and implementation tools, a high number of users can be physically possible and provided with support. Real-time based implementation of MUD systems has the potential to play a major role in next-generation communication systems. |
format |
Article |
author |
Alansi, M. Elshafiey, I. Al-Sanie, A. Mabrouk, A. |
author_facet |
Alansi, M. Elshafiey, I. Al-Sanie, A. Mabrouk, A. |
author_sort |
Alansi, M. |
title |
FPGA Implementation of Multi-User Detection Genetic Algorithm Tool for SDMA-OFDM Systems |
title_short |
FPGA Implementation of Multi-User Detection Genetic Algorithm Tool for SDMA-OFDM Systems |
title_full |
FPGA Implementation of Multi-User Detection Genetic Algorithm Tool for SDMA-OFDM Systems |
title_fullStr |
FPGA Implementation of Multi-User Detection Genetic Algorithm Tool for SDMA-OFDM Systems |
title_full_unstemmed |
FPGA Implementation of Multi-User Detection Genetic Algorithm Tool for SDMA-OFDM Systems |
title_sort |
fpga implementation of multi-user detection genetic algorithm tool for sdma-ofdm systems |
publisher |
Kluwer (now part of Springer) |
publishDate |
2016 |
url |
http://eprints.um.edu.my/18193/ https://doi.org/10.1007/s11277-015-2986-x |
_version_ |
1643690636329615360 |
score |
13.160551 |