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作 者:鲜永菊[1] 于东方 邢智童 梁吉申 XIAN Yongju;YU Dongfang;XING Zhitong;LIANG Jishen(School of Communication and Information Engineering,Chongqing University of Posts and Telecommunications,Chongqing 400065,China;Communications NCO Academy,Army Engineering University of PLA,Chongqing 400035,China)
机构地区:[1]重庆邮电大学通信与信息工程学院,重庆400065 [2]陆军工程大学通信士官学校,重庆400035
出 处:《陆军工程大学学报》2024年第3期9-15,共7页Journal of Army Engineering University of PLA
摘 要:针对目前智能反射面(intelligent reflecting surface,IRS)辅助去蜂窝大规模多输入多输出(massive multiple-input multiple-output,mMIMO)系统现有算法复杂度高的问题,提出了一种基于IRS辅助去蜂窝mMIMO系统联合波束赋形低复杂度算法。在满足还原用户接收的信号、IRS相移和发射功率约束的条件下,以得到最优发射波束赋形向量为目标,构建了一个联合优化接入点(access point,AP)主动波束赋形和IRS被动波束赋形问题。利用交替优化方法将原问题转换为两个易于处理的子问题,并基于解非齐次线性方程组,采用Lagrange乘数法和人工蜂群算法对子问题进行求解。仿真结果表明,相较于传统算法,所提算法有更低的复杂度和误码率,可使用更小的发射功率和频谱效率等资源获得与其他方案相当的性能。Aiming at the problem of high complexity of the existing algorithms for intelligent reflecting surface(IRS)-assisted cell-free massive multiple-input multiple-output(mMIMO)systems,this paper proposes a low-complexity algorithm based on IRS-assisted cell-free mMIMO system combined with beamforming.To begin with,under the constraints of restoring the signal received,IRS phase shift and transmit power,and aiming at obtaining the optimal transmit beamforming vector,a joint optimization problem of access point(AP)active beamforming and IRS passive beamforming is constructed.Then,the original problem is converted into two tractable sub-problems by the alternating optimization method.Finally,the sub-problems are solved by the Lagrange multiplier method and the artificial bee colony algorithm through the idea of solving non-homogeneous linear equations.The simulation results show that compared with traditional algorithms,the proposed algorithm has lower complexity and lower bit error rate,and can use lower resource consumption such as transmission power and spectrum efficiency to obtain performance comparable to other solutions.
分 类 号:TN929.5[电子电信—通信与信息系统]
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