Multi-antenna technologies have been widely used in modern wireless communication systems to achieve diversity gain, spatial multiplexing gain, and better interference suppression. Beamforming has been considered as a potential candidate for throughput maximization in MIMO cognitive radio networks. However, the efficient implementation of beamforming demands for accurate knowledge of channel estimate. Conventional spectrum sharing strategies treat the detection and estimation problems in uncoupled manner, which may not result in the overall optimum performance. In this paper, we propose a censored spectrum sharing strategy which considers both the detection and estimation performances simultaneously and is capable of improving the throughput of MIMO cognitive radio network. We derive analytical expressions for the critical parameters and provide simulation results to validate our derivations.

中文翻译：

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认知无线电网络中 MIMO 系统的删失频谱共享策略

多天线技术已广泛应用于现代无线通信系统中，以实现分集增益、空间复用增益和更好的干扰抑制。波束成形被认为是 MIMO 认知无线电网络中吞吐量最大化的潜在候选。然而，波束成形的有效实施需要准确了解信道估计。传统的频谱共享策略以非耦合方式处理检测和估计问题，这可能不会导致整体最佳性能。在本文中，我们提出了一种同时考虑检测和估计性能并能够提高 MIMO 认知无线电网络吞吐量的删失频谱共享策略。