Electronic Science and Technology ›› 2019, Vol. 32 ›› Issue (4): 54-59.doi: 10.16180/j.cnki.issn1007-7820.2019.04.012

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Spectrum Allocation with Multi-Objective Optimization based on Immune Algorithm in Cognitive Radio Networks

GAO Yang,HAN Ren,WANG Qingyun   

  1. School of Optical Electrical and Computer Engineering,University of Shanghai for Science and Technology,Shanghai 200093,China
  • Received:2018-03-18 Online:2019-04-15 Published:2019-03-27
  • Supported by:
    Action Plan for Technological Innovation of Shanghai(17511109100)


Too many secondary users working on the same channel in a cognitive radio network will lead to serious interference to the network. Therefore, how to increase the network throughput while increasing the number of serviceable users in the network has become a research focus in recent years. An improved multi-objective immune algorithm was proposed to solve the problem which was addressed with respect to both spectrum efficiency and network throughput. Meanwhile, an antibody encoding that was suitable for solving the problem was designed. After obtaining the Pareto optimal solutions, the contrast test was conducted with the NSGA-II. The simulation results validated that the proposed strategy performed better in searching pareto optimal solutions and satisfied the network requirements of spectrum allocation in various cases.

Key words: cognitive radio, spectrum allocation, multi objective optimization, spectrum efficiency, network throughput, immune algorithm

CLC Number: 

  • TN915