HGS-assisted detection algorithm for 4G and beyond wireless mobile communication systems

Mahamod Ismail, Fares Sayadi, Rosdiadee Nordin

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Multiple-Input Multiple-Output (MIMO) antennas and Multi-Carrier Code Division Multiple Access (MC-CDMA) are very promising candidates for simultaneous utilize in 4G systems, since they attain robustness, high spectral efficiency, and high data rates in rich scattering environments. This paper proposes an efficient hybrid detection algorithm for a downlink MC-CDMA system based on Orthogonal Frequency Division Multiplexing (OFDM). The proposed algorithm combines Genetic Algorithm-assisted Multiobjective Optimization Problem Solutions (GAMOPS) with Simplified Local Search (SLS) technique, which accelerate the search process to locate the exact global optimum throughout the iterative Linear Minimum Mean Square Error (LMMSE) approach, so called Hybrid GAMOPS-SLS (HGS) algorithm. The HGS algorithm contributes steadfastly to an accurate system design and evaluation in the framework of a practical MC-CDMA system. Beneath high order modulation, the simulation results are presented to exhibit an improved Bit Error Rate (BER) performance up to 8.2 dB and reducing of computational complexity order in terms of floating point operations (flops) by at least one order of magnitude at joint channel estimation and multiuser detection as well as intense trade-off between them.

Original languageEnglish
Title of host publication17th Asia-Pacific Conference on Communications, APCC 2011
Pages571-576
Number of pages6
DOIs
Publication statusPublished - 2011
Event17th Asia Pacific Conference on Communications, APCC 2011 - Kota Kinabalu, Sabah
Duration: 2 Oct 20115 Oct 2011

Other

Other17th Asia Pacific Conference on Communications, APCC 2011
CityKota Kinabalu, Sabah
Period2/10/115/10/11

Fingerprint

Mobile telecommunication systems
communication system
Code division multiple access
Multiobjective optimization
Genetic algorithms
Multiuser detection
Channel estimation
Mean square error
Bit error rate
Orthogonal frequency division multiplexing
Computational complexity
Systems analysis
Modulation
floating
Scattering
Antennas
candidacy
efficiency
simulation
evaluation

Keywords

  • genetic algorithm
  • MIMO MC-CDMA systems
  • Multi objective optimization problem
  • multiuser detection
  • simplified local search

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Communication

Cite this

Ismail, M., Sayadi, F., & Nordin, R. (2011). HGS-assisted detection algorithm for 4G and beyond wireless mobile communication systems. In 17th Asia-Pacific Conference on Communications, APCC 2011 (pp. 571-576). [6152873] https://doi.org/10.1109/APCC.2011.6152873

HGS-assisted detection algorithm for 4G and beyond wireless mobile communication systems. / Ismail, Mahamod; Sayadi, Fares; Nordin, Rosdiadee.

17th Asia-Pacific Conference on Communications, APCC 2011. 2011. p. 571-576 6152873.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Ismail, M, Sayadi, F & Nordin, R 2011, HGS-assisted detection algorithm for 4G and beyond wireless mobile communication systems. in 17th Asia-Pacific Conference on Communications, APCC 2011., 6152873, pp. 571-576, 17th Asia Pacific Conference on Communications, APCC 2011, Kota Kinabalu, Sabah, 2/10/11. https://doi.org/10.1109/APCC.2011.6152873
Ismail M, Sayadi F, Nordin R. HGS-assisted detection algorithm for 4G and beyond wireless mobile communication systems. In 17th Asia-Pacific Conference on Communications, APCC 2011. 2011. p. 571-576. 6152873 https://doi.org/10.1109/APCC.2011.6152873
Ismail, Mahamod ; Sayadi, Fares ; Nordin, Rosdiadee. / HGS-assisted detection algorithm for 4G and beyond wireless mobile communication systems. 17th Asia-Pacific Conference on Communications, APCC 2011. 2011. pp. 571-576
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