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Opportunistic Spectrum Sharing in Cognitive MIMO Wireless Networks

机译:认知MIMO无线网络中的机会频谱共享

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Cognitive radio has been recently proposed as a promising technology to improve the spectrum utilization. In this paper, we consider the spectrum sharing between a large number of cognitive radio users and a licensed user in order to enhance the spectrum efficiency. With the deployment of M antennas at the cognitive base station, an opportunistic spectrum sharing approach is proposed to maximize the downlink throughput of the cognitive radio system and limit the interference to the primary user. In the proposed approach, cognitive users whose channels are nearly orthogonal to the primary user channel are pre-selected so as to minimize the interference to the primary user. Then, M best cognitive users, whose channels are mutually near orthogonal to each other, are scheduled from the preselected cognitive users. A lower bound of the proposed cognitive system capacity is derived. It is then shown that opportunistic spectrum sharing approach can be extended to the multipleinput/ multiple-output (MIMO) case, where a receive antenna selection is utilized in order to further reduce the computational and feedback complexity. Simulation results show that our proposed approach is able to achieve a high sum-rate throughput, with affordable complexity, when considering either single or multiple antennas at the cognitive mobile terminals.
机译:最近已经提出认知无线电作为改善频谱利用率的有前途的技术。在本文中,我们考虑了大量认知无线电用户和许可用户之间的频谱共享,以提高频谱效率。通过在认知基站部署M根天线,提出了一种机会频谱共享方法,以最大化认知无线电系统的下行链路吞吐量并限制对主要用户的干扰。在所提出的方法中,预先选择其信道与主要用户信道几乎正交的认知用户,以最小化对主要用户的干扰。然后,从预选的认知用户中调度彼此相互接近正交的M个最佳认知用户。得出建议的认知系统能力的下限。然后示出了机会频谱共享方法可以扩展到多输入/多输出(MIMO)情况,其中利用接收天线选择以便进一步降低计算和反馈复杂度。仿真结果表明,当在认知移动终端考虑单个或多个天线时,我们提出的方法能够以可承受的复杂度实现高总速率吞吐量。

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