Achievable transmission capacity of cognitive radio networks with cooperative relaying

Tao Jing (Corresponding Author), Wei Li, Xiuying Chen, Xiuzhen Cheng, Xiaoshuang Xing, Yan Huo, Tao Chen, Hyeong-Ah Choi, Taieb Znati

    Research output: Contribution to journalArticleScientificpeer-review

    3 Citations (Scopus)


    With the rapid development of cognitive radio technologies, spectrum sharing becomes a promising approach to improving the efficiency of spectrum utilization and mitigating the spectrum scarcity problem. Previous research on cognitive networks argues that secondary users can only work under a low-transmission power in an underlay spectrum sharing model, especially when the primary transmitter is far away from the primary receiver. Motivated by the idea of cooperative communications, in this paper, we propose a cooperative framework in which a primary transmitter, being aware of the existence of the secondary network, may select a secondary user that is not in transmitting or receiving mode to relay its traffic. The feasible relay location region and optimal power ratio between the primary network and the secondary network are derived in the underlay spectrum sharing model. Based on the optimal power ratio, we derive the maximum achievable transmission capacity of the secondary network under the outage constraints from both the primary and the secondary network with or without cooperative relaying. Numerical results indicate that secondary users can achieve a higher transmission capacity with cooperative relaying, and that the capacity gain of the cooperative network is significantly affected by the location of the relay and the network system parameters.
    Original languageEnglish
    Number of pages15
    JournalEURASIP Journal on Wireless Communications and Networking
    Issue number1
    Publication statusPublished - 2015
    MoE publication typeA1 Journal article-refereed


    • achievable transmission capacity
    • cognitive radio networks
    • cooperative relaying
    • outage constraints


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