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Local Optima Properties and Iterated Local Search Algorithm for Optimum Multiuser Detection Problem

  • Shaowei Wang
  • Qiuping Zhu
  • Lishan Kang
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4113)

Abstract

Optimum multiuser detection (OMD) in direct-sequence code-division multiple access (DS-CDMA) communication systems is an NP-complete combinatorial optimization problem. The first contribution of this paper is the theoretical investigation of the OMD problem. Its fitness landscape is specified by a set of neighborhoods of all points of the search space. The number and the distributions of local optima are studied in detail. Investigation results give hints how to choose the modification operators and design more efficient random search heuristics for this problem. Then an efficient iterated local search algorithm is proposed for multiuser detection and simulation results show that it can provide rather good performance for cases where other algorithms perform poorly.

Keywords

Local Optimum Spreading Factor Fitness Landscape Multiuser Detection Iterate Local Search 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Shaowei Wang
    • 1
  • Qiuping Zhu
    • 1
  • Lishan Kang
    • 2
  1. 1.School of Electronic InformationWuhan UniversityWuhanP.R. China
  2. 2.State Key Laboratory of Software EngineeringWuhan UniversityWuhanP.R. China

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