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Joint user selection and quantized power control schemes for uplink cognitive MIMO systems

机译:用于上行链路认知MIMO系统的联合用户选择和量化功率控制方案

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In this paper, we investigate interference-aware joint secondary user (SU) selection/scheduling and quantized power control (JSUS-QPC) schemes for the uplink communication in the cognitive MIMO system. The main objective of the JSUS-QPC is to maximize the sum-rate capacity of the cognitive MIMO uplink communication system under the constraint that the interference to the primary users (PU) is below a specified level. The computational complexity of finding an optimal JSUS-QPC scheme by exhaustive search grows exponentially with the number of users and power levels. In this paper, we present two low-complexity algorithms for JSUS-QPC in the cognitive MIMO system. We also examine the effect of different system parameters (e.g., interference threshold level, the number of primary users, the number of secondary users, the number of quantized power levels etc.) on the performance of the proposed algorithms. The proposed algorithms have low computational complexity, and their effectiveness is verified through simulation results.
机译:在本文中,我们调查了在认知MIMO系统中的上行链路通信的干扰感知联合二级用户(SU)选择/调度和量化功率控制(JSUS-QPC)方案。 JSUS-QPC的主要目的是在约束下最大化认知MIMO上行通信系统的总和速率容量,使对主用户(PU)的干扰低于指定级别。通过详尽的搜索找到最佳JSUS-QPC方案的计算复杂性与用户数量和功率电平呈指数呈指数级。在本文中,我们在认知MIMO系统中为JSUS-QPC提供了两个低复杂性算法。我们还研究了所提出的算法的性能的不同系统参数(例如,干扰阈值级别,主要用户数,辅助用户数量,量化功率电平等)的影响。所提出的算法具有低计算复杂性,通过模拟结果验证其有效性。

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