IoT as a Service. 4th EAI International Conference, IoTaaS 2018, Xi’an, China, November 17–18, 2018, Proceedings

Research Article

Robust Power Allocation for Cognitive Radio System in Underlay Mode

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  • @INPROCEEDINGS{10.1007/978-3-030-14657-3_44,
        author={Rongfei Fan and Qi Gu and Xuming An and Yu Zhang},
        title={Robust Power Allocation for Cognitive Radio System in Underlay Mode},
        proceedings={IoT as a Service. 4th EAI International Conference, IoTaaS 2018, Xi’an, China, November 17--18, 2018, Proceedings},
        proceedings_a={IOTAAS},
        year={2019},
        month={3},
        keywords={Cognitive radio Underlay Robust power allocation},
        doi={10.1007/978-3-030-14657-3_44}
    }
    
  • Rongfei Fan
    Qi Gu
    Xuming An
    Yu Zhang
    Year: 2019
    Robust Power Allocation for Cognitive Radio System in Underlay Mode
    IOTAAS
    Springer
    DOI: 10.1007/978-3-030-14657-3_44
Rongfei Fan1,*, Qi Gu2,*, Xuming An1,*, Yu Zhang1,*
  • 1: Beijing Institute of Technology
  • 2: Beijing Jiaotong University
*Contact email: fanrongfei@bit.edu.cn, 15112094@bjtu.edu.cn, 1952590139@qq.com, yuzhang@bit.edu.cn

Abstract

In this paper, the power allocation problem in cognitive underlay system is studied given a number of samples of interference channel’s gain. System throughput of secondary users is aimed to be maximized while limiting the worst-case interference outage probability. With only a number of samples of interference channel’s gain, we define an uncertain region of possible probability density function (PDF) of interference channel’s gain and further derive the closed-form expression for the interference outage probability constraint. By replacing the formulated constraint on interference outage probability with closed-form one, we show the originally formulated problem is a convex optimization problem.