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Cooperative Secondary Beam Selection for Cognitive Multiuser MIMO Transmission With Random Beamforming

机译:带有随机波束成形的认知多用户MIMO传输的协作辅助波束选择

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This paper studies the performance of a random beamforming-based secondary MIMO system, which coexists with a primary system with single primary transmitter (PT) and single primary receiver (PR). To ensure the performance requirement of the primary system, i.e., the received signal-to-interference-plus-noise-ratio (SINR) at PR is larger than a predefined threshold, we assume that the usability of the beamforming vectors of the secondary MIMO system are determined with the cooperation from PR. Specifically, we propose cooperative beam selection strategies for the secondary MIMO system considering both single-user and multiuser transmission. For both cases, the PR only needs to feed back to the secondary base station (SBS) its received signal power from PT, based on which the SBS calculates the received SINR at PR corresponding to each beam, and decides those usable beams that satisfy the performance requirement of the primary system. The SBS then selects the best beam from all usable beams to serve its user. For the multiuser case, we propose and compare two cooperative beam selection strategies for the secondary MIMO system to select a maximal number of active beams for transmission, while ensuring the received SINR at PR is above the predefined SINR threshold. For both single user and multiuser case, we analyze the outage probability of the primary system and the throughput/sum-rate of the secondary system, based on which we investigate the performance tradeoff between primary and secondary systems.
机译:本文研究了基于随机波束成形的辅助MIMO系统的性能,该系统与具有单个主发射机(PT)和单个主接收机(PR)的主系统共存。为了确保主系统的性能要求,即PR处的接收信号干扰干扰比(SINR)大于预定义的阈值,我们假设辅助MIMO的波束成形矢量的可用性系统由PR合作确定。具体而言,我们提出了同时考虑单用户和多用户传输的辅助MIMO系统的协作波束选择策略。对于这两种情况,PR仅需要将其从PT接收到的信号功率反馈到辅助基站(SBS),根据该信号,SBS可以计算出与每个波束相对应的PR处的接收SINR,并确定满足以下条件的可用波束:主系统的性能要求。然后,SBS从所有可用波束中选择最佳波束,以为其用户服务。对于多用户情况,我们建议并比较两种用于辅助MIMO系统的协作波束选择策略,以选择最大数量的活动波束进行传输,同时确保PR处接收到的SINR高于预定义的SINR阈值。对于单用户和多用户的情况,我们分析了主系统的中断概率和辅助系统的吞吐量/总和率,在此基础上,我们研究了主系统和辅助系统之间的性能折衷。

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