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Cognitive MIMO Radio: Performance Analysis and Precoding Strategy

Author

Listed:
  • Mingming Li

    (Beijing University of Post and Telecommunication, China)

  • Jiaru Lin

    (Beijing University of Post and Telecommunication, China)

  • Fazhong Liu

    (College of Computing & Communication Engineering, GUCAS, China)

  • Dongxu Wang

    (China Unicom, China)

  • Li Guo

    (Beijing University of Post and Telecommunication, China)

Abstract

The authors consider a cognitive radio network in which a set of cognitive users make opportunistic spectrum access to one primary channel by time-division multiplexing technologies. Multiple Input Multiple Output techniques (MIMO) are similarly considered to enhance the stable throughput for cognitive links while they should guarantee co-channel interference constraints to the primary link. Here, two different cases are considered: one is that cognitive radio network is distributed; the other is centrally-controlled that cognitive radio network has a cognitive base station. In the first case, how to choose one fixed cognitive user and power control for each transmission antenna at the cognitive base station are considered to maximize the cognitive link’s stable throughput. In the second case, a scheme to choose a group of cognitive users and a Zero-Forcing method to pre-white co-channel interference to the primary user, are also proposed in order to maximize cognitive base station’s sum-rate. The algorithm can be employed to realize opportunistic spectrum transmission over the wireless fading channels.

Suggested Citation

  • Mingming Li & Jiaru Lin & Fazhong Liu & Dongxu Wang & Li Guo, 2011. "Cognitive MIMO Radio: Performance Analysis and Precoding Strategy," International Journal of Cognitive Informatics and Natural Intelligence (IJCINI), IGI Global, vol. 5(2), pages 58-79, April.
    • Handle: RePEc:igg:jcini0:v:5:y:2011:i:2:p:58-79
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