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An online algorithm of energy-efficient and interference suppression beamforming for cognitive MISO-OFDM interference channels

机译:认知Miso-OFDM干扰通道的节能和干扰抑制的在线算法

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Minimization of the sum power of secondary users (SUs) equipped with multi-antenna is considered in the context of OFDM cognitive radio (CR) networks with coexisting primary users (PUs). The aggregated interference generated by SUs is constrained under a tolerable level so as to maintain reliable communication for PUs. Meanwhile, the quality of service (QoS) in terms of sum rate for SUs should be guaranteed as well. Sufficient conditions for the feasibility of this problem are provided for the facilitation of admission control. A novel on-line implementation algorithm is developed based on network duality and geometric programs (GPs) power control. This algorithm is proved to be convergent and the converged solution is locally optimal. Simulations results show that this algorithm is converged within several iterations and significant power savings can be achieved by the proposed algorithm compared with other relevant schemes.
机译:在具有共存主用户(PUS)的OFDM认知无线电(CR)网络的上下文中,考虑了配备有多天线的二级用户(SUS)的最小化力量。 SUS产生的聚合干扰在可容许的水平下受到约束,以便为PU保持可靠的通信。同时,应保证SUS总和率的服务质量(QoS)。提供了促进进入控制的这种问题的可行性条件。基于网络二元性和几何程序(GPS)功率控制开发了一种新的在线实现算法。证明该算法是收敛的,融合解决方案是局部最佳的。仿真结果表明,该算法在几个迭代之内融合,并且可以通过所提出的算法与其他相关方案相比实现了显着的功率节省。

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