ws 15(5): e5

Research Article

Joint Fair Resource Allocation for Opportunistic Spectrum Sharing in OFDM-based Cognitive Radio Networks

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  • @ARTICLE{10.4108/icst.mobimedia.2015.258975,
        author={Yanbo Ma and piming ma and haixia zhang},
        title={Joint Fair Resource Allocation for Opportunistic Spectrum Sharing in OFDM-based Cognitive Radio Networks},
        journal={EAI Endorsed Transactions on Wireless Spectrum},
        volume={1},
        number={5},
        publisher={EAI},
        journal_a={WS},
        year={2015},
        month={8},
        keywords={resource allocation, spectrum sharing, ofdm, convex optimization, stochastic optimization},
        doi={10.4108/icst.mobimedia.2015.258975}
    }
    
  • Yanbo Ma
    piming ma
    haixia zhang
    Year: 2015
    Joint Fair Resource Allocation for Opportunistic Spectrum Sharing in OFDM-based Cognitive Radio Networks
    WS
    EAI
    DOI: 10.4108/icst.mobimedia.2015.258975
Yanbo Ma1,*, piming ma2, haixia zhang2
  • 1: Shandong University of Finance and Economics
  • 2: Shandong University
*Contact email: yanboma@sdufe.edu.cn

Abstract

This paper considers a cooperative Orthogonal Frequency Division Multiplexing (OFDM)-based cognitive radio network, where the primary system leases a fraction of its subcarriers to the secondary system in exchange for the secondary users (SUs) acting as decode-and-forward relays. Our aim is to determine an fair resource allocation strategy among the primary users and SUs as so to maximize the network capacity. To this end, a network utility maximization optimization problem of power, subcarrier allocation and relay selection is formulated based on a class of $\alpha$-fair utility. This problem is solved by applying the lagrangian dual method and a joint fair resource allocation policy at the SUs is derived in a closed-form expression. Moreover, a novel stochastic algorithm is developed to approach the optimal policy by dynamically learning the intended wireless channels. Simulation results demonstrate that both primary and secondary systems can benefit from the proposed resource allocation policy.