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Power Control and Channel Allocation in Cognitive Radio Networks with Primary Users' Cooperation

机译:主要用户合作的认知无线电网络中的功率控制和信道分配

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摘要

We consider a point-to-multipoint cognitive radio network that shares a set of channels with a primary network. Within the cognitive radio network, a base station controls and supports a set of fixed-location wireless subscribers. The objective is to maximize the throughput of the cognitive network while not affecting the performance of primary users. Both downlink and uplink transmission scenarios in the cognitive network are considered. For both scenarios, we propose two-phase mixed distributed/centralized control algorithms that require minimal cooperation between cognitive and primary devices. In the first phase, a distributed power updating process is employed at the cognitive and primary nodes to maximize the coverage of the cognitive network while always maintaining the constrained signal to interference plus noise ratio of primary transmissions. In the second phase, centralized channel assignment is carried out within the cognitive network to maximize its throughput. Numerical results are obtained for the behaviors and performance of our proposed algorithms.
机译:我们考虑与一个主网络共享一组信道的点对多点认知无线电网络。在认知无线电网络中,基站控制并支持一组固定位置的无线用户。目的是在不影响主要用户性能的情况下最大化认知网络的吞吐量。考虑了认知网络中的下行链路和上行链路传输场景。对于这两种情况,我们提出了两阶段混合的分布式/集中控制算法,该算法要求认知设备和主要设备之间的协作最少。在第一阶段,在认知节点和主要节点处采用分布式功率更新过程,以最大化认知网络的覆盖范围,同时始终保持主要传输的受限信噪比和噪声比。在第二阶段,在认知网络内执行集中式信道分配,以最大化其吞吐量。数值结果获得了我们提出的算法的行为和性能。

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