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Joint resource allocation with statistical delay QoS guarantees for spectrum leasing CR networks

机译:具有统计延迟QoS的联合资源分配可为频谱租赁CR网络提供保证

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In this paper, we investigate the joint resource allocation policy for an orthogonal frequency division multiplexing (OFDM)-based cooperative cognitive radio network with statistical delay quality of service (QoS) guarantees. In the CR network, the spectrum leasing scheme operates in a situation where the primary users (PUs) lease part of its licensed spectrum to the secondary users (SUs) in exchange for the cooperation with SUs acting as decode-and-forward (DF) relays for PUs. Considering the statistical delay QoS requirement and to optimize the resource allocation of power and subcarrier, we formulate the problem of minimizing the secondary system's average power while achieving the effective capacity of both the primary system and secondary system. To reduce the computational complexity, an asymptotical algorithm and a suboptimal algorithm are presented in our paper. The corresponding resource allocation policies are derived based on the Lagrange dual approach. Numerical results show that the proposed policy performs better in saving power with QoS guarantees than other policies.
机译:在本文中,我们研究了基于正交频分复用(OFDM)的具有统计延迟服务质量(QoS)保证的协作认知无线电网络的联合资源分配策略。在CR网络中,频谱租赁方案在以下情况下运行:主要用户(PU)将其许可频谱的一部分出租给次要用户(SU),以换取与充当解码和转发(DF)的SU的合作。 PU的继电器。考虑到统计时延QoS要求,并优化功率和子载波的资源分配,我们提出了在达到一次系统和二次系统有效容量的同时,最小化二次系统平均功率的问题。为了降低计算复杂度,本文提出了一种渐近算法和次优算法。相应的资源分配策略是基于Lagrange对偶方法得出的。数值结果表明,所提出的策略在保证QoS的情况下比其他策略具有更好的节能效果。

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