信道状态信息不完全的认知双向中继网络中SINR平衡方法的分布式波束形成

S. H. Safavi, M. Ardebilipour, V. Jamali, M. Ahmadian
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引用次数: 4

摘要

提出了一种基于分布式中继波束形成的底层认知无线网络双向协作中继方案,该网络由2个辅助收发机和K个认知中继节点组成,主网络由1个发射机和1个接收机组成,均配置单天线。对于这个网络,我们假设中继和主网络之间的信道系数的二阶统计量是可用的。并对辅助网络假定了完美的信道状态信息(CSI)。在这里,我们提出了一种基于分布式中继波束形成的信噪比(SINR)平衡。我们的目标是设计波束形成系数,以最大限度地提高辅助网络的服务质量(QoS),同时满足主网络的可容忍干扰约束。利用半定松弛将该问题转化为凸可行性问题,用二分搜索法求解。仿真结果表明,信道系数的不确定性会严重影响网络的性能。此外,随着主接收机可容忍干扰的增加,最大可实现信噪比也随之增加。
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Distributed beamforming for SINR balancing approach in cognitive two-way relay networks with imperfect channel state information
A cooperative bidirectional relaying scheme based on distributed relay beamforming is proposed for an underlay cognitive radio network which consists of two secondary transceivers and K cognitive relay nodes and a primary network with a transmitter and receiver, all equipped with single antenna. For this network we assume that the second-order statistics of the channel coefficients between the relays and primary network is available. Also the perfect channel state information (CSI) is assumed for secondary network. Here, we propose a signal-to-interference plus noise-ratio (SINR) Balancing based on distributed relay beamforming. Our aim is to design the beamforming coefficients to maximize quality of service (QoS) for the secondary network while satisfying tolerable interference constraint for the primary network. Using semidefinite relaxation we turned this problem into convex feasibility problem which can be solved along with bisection search method. Our simulation results show that the uncertainty about the channel coefficients can be degrade the performance of the network considerably. Also as we increased the tolerable interference on primary receiver, the maximum achievable SINR is increased.
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