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Spectrum sharing with interference coordination under outage probability constraint

机译:中断概率约束下具有干扰协调的频谱共享

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In this paper we consider a cognitive radio (CR) communication system based on spectrum sharing schemes, where we have a secondary user (SU) link with multiple transmitting antennas and a single receiving antenna, coexisting with a primary user (PU) link with a single receiving antenna. At the SU transmitter (SU-Tx), the channel state information (CSI) of the SU link is assumed to be perfectly known; while the interference channel from the SU-Tx to the PU receiver (PU-Rx) is not perfectly known due to less cooperation between the SU and the PU. Considering a SU transmit power constraint, our design objective is to determine the transmit covariance matrix that maximizes the SU rate, while we protect the PU by enforcing both a PU average interference constraint and a PU outage probability constraint. This problem is formulated as a non-convex optimization problem with a non-explicit probabilistic constraint, which is then approximated as a mixed binary integer programming (MBIP) problem and solved with the Branch and Bound (BB) algorithm. The complexity of the BB algorithm is analyzed and numerical results are presented to show the performance of the CR system under consideration with our optimal solution.
机译:在本文中,我们考虑一种基于频谱共享方案的认知无线电(CR)通信系统,在该系统中,我们有一个具有多个发射天线的次用户(SU)链路和一个接收天线,与一个主要用户(PU)链路和一个主用户链路共存。单接收天线。在SU发送器(SU-Tx),SU链路的信道状态信息(CSI)被假定为完全已知;从SU-Tx到PU接收器的干扰信道(PU-Rx)由于SU和PU之间的协作较少而无法完全了解。考虑到SU发射功率约束,我们的设计目标是确定使SU速率最大化的发射协方差矩阵,同时我们通过强制执行PU平均干扰约束和PU中断概率约束来保护PU。该问题被公式化为具有非显式概率约束的非凸优化问题,然后将其近似为混合二进制整数规划(MBIP)问题,并使用Branch and Bound(BB)算法进行求解。分析了BB算法的复杂性,并给出了数值结果,以我们最优的解决方案考虑了CR系统的性能。

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