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An ant colony algorithm for multi-user detection in wireless communication systems

Published: 25 June 2005 Publication History

Abstract

This paper explores the application of the ant colony algorithm for an NP-complete problem in the area of wireless communications. The specific problem is one of detecting users (binary vectors) in a multi-user environment in synchronous MC-CDMA (multi-carrier Code Division Multiple Access) systems, such that the total interference noise in minimized. This approach is particularly attractive as ACO is well suited for physically realizable, real-time use, where fast convergence is absolutely necessary. Results suggest that the algorithm reduces the computer time requirement by as much as 98% over an exhaustive search method.

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  • (2010)A New Elimination Ant Colony Algorithm for Process Task Distribution2010 International Conference on Management and Service Science10.1109/ICMSS.2010.5576628(1-4)Online publication date: Aug-2010
  • (2010)A New P2P Traffic Identification Model Based on Node Status2010 International Conference on Management and Service Science10.1109/ICMSS.2010.5575639(1-4)Online publication date: Aug-2010
  • (2009)A Comparative Study of Optimization Techniques in Adaptive Antenna Array Processing: The Bacteria-Foraging Algorithm and Particle-Swarm OptimizationIEEE Antennas and Propagation Magazine10.1109/MAP.2009.543309851:6(69-81)Online publication date: Dec-2009
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    cover image ACM Conferences
    GECCO '05: Proceedings of the 7th annual conference on Genetic and evolutionary computation
    June 2005
    2272 pages
    ISBN:1595930108
    DOI:10.1145/1068009
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Publication History

    Published: 25 June 2005

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    Author Tags

    1. ACO
    2. MC-CDMA
    3. multi-carrier modulation
    4. multiuser detection

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    Overall Acceptance Rate 1,669 of 4,410 submissions, 38%

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    View all
    • (2010)A New Elimination Ant Colony Algorithm for Process Task Distribution2010 International Conference on Management and Service Science10.1109/ICMSS.2010.5576628(1-4)Online publication date: Aug-2010
    • (2010)A New P2P Traffic Identification Model Based on Node Status2010 International Conference on Management and Service Science10.1109/ICMSS.2010.5575639(1-4)Online publication date: Aug-2010
    • (2009)A Comparative Study of Optimization Techniques in Adaptive Antenna Array Processing: The Bacteria-Foraging Algorithm and Particle-Swarm OptimizationIEEE Antennas and Propagation Magazine10.1109/MAP.2009.543309851:6(69-81)Online publication date: Dec-2009
    • (2008)Ant-Colony-Based Multiuser Detection for Multifunctional-Antenna-Array-Assisted MC DS-CDMA SystemsIEEE Transactions on Vehicular Technology10.1109/TVT.2007.90561757:1(658-663)Online publication date: Jan-2008
    • (2008)A Particle Swarm Optimization-Based Multiuser Detection for Receive-Diversity-Aided STBC SystemsIEEE Signal Processing Letters10.1109/LSP.2007.91031515(29-32)Online publication date: 2008
    • (2008)Near-Optimum Soft-Output Ant-Colony-Optimization Based Multiuser Detection for the DS-CDMA Uplink2008 IEEE International Conference on Communications10.1109/ICC.2008.156(795-799)Online publication date: May-2008
    • (2007)Ant-Colony-Based Multiuser Detection for MC DS-CDMA Systems2007 IEEE 66th Vehicular Technology Conference10.1109/VETECF.2007.209(960-964)Online publication date: Sep-2007
    • (2007)Ant colony optimisation-based multiuser detection for direct-sequence CDMA systems with diversity receptionIET Communications10.1049/iet-com:200504561:4(556)Online publication date: 2007

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