检索规则说明:AND代表“并且”;OR代表“或者”;NOT代表“不包含”;(注意必须大写,运算符两边需空一格)
检 索 范 例 :范例一: (K=图书馆学 OR K=情报学) AND A=范并思 范例二:J=计算机应用与软件 AND (U=C++ OR U=Basic) NOT M=Visual
作 者:彭艺[1] 吴桐 杨青青[1] PENG Yi;WU Tong;YANG Qingqing(Faculty of Information Engineering and Automation,Kunming University of Science and Technology,Kunming 650500,China)
机构地区:[1]昆明理工大学信息工程与自动化学院,昆明650500
出 处:《北京邮电大学学报》2023年第4期64-69,共6页Journal of Beijing University of Posts and Telecommunications
摘 要:为了最大化可重构智能反射面(RIS)辅助多输入单输出非正交多址(NOMA)通信系统中的加权和速率,提出了一种分式规划和连续凸逼近结合交替优化主被动波束形成的方法。首先,利用分式规划将加权和速率问题转化成分式问题并解耦信号和噪声功率;然后,分别利用拉格朗日乘子法和连续凸逼近交替优化主被动波束形成,从而将非凸最大化加权和速率问题分解成多个凸优化问题迭代求解;最后,获得主动波束形成的最优解和被动波束形成的次优解。仿真结果表明,所提方法有效地解决了RIS-NOMA通信系统中的波束形成问题,并且用户能够获得理想的速率提升。In order to maximize the weighted sum rate of the multi-input single-output non-orthogonal multiple access(NOMA)communication system assisted by the reconfigurable intelligent surface(RIS),a method combining fractional programming and successive convex approximation is proposed to alternatively optimize active and passive beamforming.First,the weighted sum rate problem is transformed into a fractional problem by fractional programming and the signal and noise power are decoupled.Then,the active and passive beamforming are alternately optimized by the Lagrange multiplier method and successive convex approximation,respectively.Thus,the nonconvex problem of maximizing the weighted sum rate is decomposed into multiple convex optimization problems.Finally,the optimal solution of active beamforming and the suboptimal solution of passive beamforming are obtained.The simulation results show that the proposed method can effectively solve the beamforming problem in the RIS-NOMA communication system and users can obtain an ideal rate increase.
关 键 词:可重构智能反射面 非正交多址接入技术 波束形成 交替优化方法 加权和速率
分 类 号:TN929.5[电子电信—通信与信息系统]
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在链接到云南高校图书馆文献保障联盟下载...
云南高校图书馆联盟文献共享服务平台 版权所有©
您的IP:216.73.216.49