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Bio-inspired random-guided optimization and machine learning for wireless communications systems

 

 
Bio-inspired Wireless Coomunications Systems ... Prof Lajos Hanzo

Bio-inspired computing, short for biologically inspired computing, is a field of study that loosely knits together subfields related to the topics of connectionism, social behaviour and emergence. It is often closely related to the field of artificial intelligence, as many of its pursuits can be linked to machine learning. It relies heavily on the fields of biology, computer science and mathematics. Briefly put, it is the use of computers to model nature, and simultaneously the study of nature to improve the usage of computers. Biologically inspired computing is a major subset of natural computation.

 
Research Papers

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Genetic Algorithm

  • Genetic Algorithm Assited Joint Multiuser Symbol Detection and Fading Channel Estimation for Sysnchronous CDMA Systems
    Yen, K. and Hanzo, L. (2001) IEEE Journal on Selected Areas in Communications, 19 (6). pp. 985-998.
    Paper
  • Antenna-Diversity-Assisted Genetic-Algorithm-Based Multiuser Detection Schemes for Synchronous CDMA Systems
    Yen, K. and Hanzo, L. (2003) IEEE Transactions on Communications, 51 (3). pp. 366-370.
    Paper
  • Genetic-Algorithm-Assisted Multiuser Detection in Asynchronous CDMA Communications
    Yen, K. and Hanzo, L. (2004) IEEE Transactions on Vehicular Technology, 53 (5). pp. 1413-1422.
    Paper
  • TTCM Assisted Genetic-Algorithm Aided Reduced-Complexity Multiuser Detection
    Ng, S. X., Yen, K. and Hanzo, L. (2002) IEE Electronics Letters, 38 (14). pp. 722-724.
    Paper
  • Improved Hybrid MMSE Detection for Turbo Trellis Coded Modulation Assisted Multi-User OFDM Systems
    Jiang, M. and Hanzo, L. (2004) Electronics Letters, 40 (16). pp. 1002-1003.
    Paper
  • Hybrid Iterative Multiuser Detection for Channel Coded Space Division Multiple Access OFDM Systems
    Jiang, M. and Hanzo, L. (2006) IEEE Transactions on Vehicular Technology, 55 (1). pp. 115-127.
    Paper
  • Soft-Information Assisted Near-Optimum Nonlinear Detection for BLAST-type Space Division Multiplexing OFDM Systems. IEEE Transactions on Wireless Communications
    Jiang, M., Akhtman, J. and Hanzo, L. (2007) IEEE Transactions on Wireless Communications, 6 (4). pp. 1230-1234.
    Paper
  • Iterative Joint Channel Estimation and Multi-User Detection for Multiple-Antenna Aided OFDM Systems
    Jiang, M., Akhtman, J. and Hanzo, L. (2007) IEEE Transactions on Wireless Communications, 6 (8). pp. 2904-2914.
    Paper
  • Genetic Algorithm Aided Design of Component Codes for Irregular Variable Length Codings
    Maunder, R. G. and Hanzo, L. (2009) IEEE Transactions on Communications, 57 (5). pp. 1290-1297.
    Paper
  • Genetic Algorithm Assisted Error Probability Optimisation for Beamforming
    Wolfgang, A., Ahmad, N. N., Chen, S. and Hanzo, L. (2004) IEE Electronics Letters, 40 (5). pp. 320-322.
    Paper
  • Multiple-antenna-aided OFDM employing genectic-algorithm-assisted minimum bit error rate multiuser detection
    Alias, M. Y., Chen, S. and Hanzo, L. (2005) IEEE Transactions on Vehicular Technology, 54 (5). pp. 1713-1721.
    Paper
  • Genetic Algorithm Aided Timeslot Scheduling for UTRA TDD CDMA Networks
    Ni, S. and Hanzo, L. (2005) IEE Electronics Letters, 41 (7). pp. 422-424.
    Paper

Ant Colony, Particle Swarm and Harmony Search

  • Ant-Colony-Based Multiuser Detection for Multi-Functional Antenna Array Assisted MC DS-CDMA Systems
    Xu, C., Hu, B., Yang, L. L. and Hanzo, L. (2008) IEEE Transactions on Vehicular Technology, 57 (1). pp. 658-663.
    Paper
  • Near-Optimum Multiuser Detectors Using Soft-Output Ant-Colony-Optimization for the DS-CDMA Uplink
    Xu, C., Maunder, R. G., Yang, L. L. and Hanzo, L. (2009) IEEE Signal Processing Letters, 16 (2). 137 -140.
    Paper
  • Minimum bit error rate multiuser transmission designs using particle swarm optimisation. IEEE Transactions on Wireless Communications
    Yao, W., Chen, S., Tan, S. and Hanzo, L. (2009) IEEE Transactions on Wireless Communications, 8 (10). pp. 5012-5017.
    Paper
  • Iterative Multiuser Detection and Channel Decoding for DS-CDMA Using Harmony Search
    Zhang, R. and Hanzo, L. (2009) IEEE Signal Processing Letters, 16 (10). pp. 917-920
    Paper

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