Throughput based transmit antenna selection for underlay CR MIMO systems

E. M. Okumu, M. Dlodlo
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Abstract

Cognitive Radio (CR) is a promising technology for improving spectrum utilization. When combined with multiple input multiple output (MIMO) technology, which achieves high spectral efficiency, CR MIMO can serve as a solution to the ever increasing demand for spectrum. Antenna selection is a signal processing technique that improves the performance of MIMO systems and reduces their hardware complexity and cost. Throughput based antenna selection utilizes cross layer information to select the subset of antennas that maximizes system throughput, resulting in improved overall system performance. In this paper we propose transmit antenna selection that maximizes the throughput of underlay CR MIMO systems subject to interference constraints at the primary user (PU) receiver(s). Performance is further improved by integrating adaptive modulation into the scheme to simultaneously select the antenna(s) and modulation scheme that optimizes the performance. Numerical results show that the proposed scheme has superior performance compared to conventional antenna selection which maximizes capacity.
基于吞吐量的底层CR MIMO系统发射天线选择
认知无线电(CR)是一种很有前途的提高频谱利用率的技术。当与多输入多输出(MIMO)技术相结合时,可以实现高频谱效率,从而解决日益增长的频谱需求。天线选择是一种提高MIMO系统性能、降低系统硬件复杂度和成本的信号处理技术。基于吞吐量的天线选择利用跨层信息来选择最大系统吞吐量的天线子集,从而提高整体系统性能。在本文中,我们提出了发射天线的选择,以最大限度地提高底层CR MIMO系统在主用户(PU)接收机的干扰约束下的吞吐量。通过将自适应调制集成到方案中,同时选择优化性能的天线和调制方案,进一步提高了性能。数值结果表明,与传统的天线选择方案相比,该方案具有更好的性能,能够最大限度地提高天线的容量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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