子连接有源可重构智能表面辅助的宽带无蜂窝网络能效优化  被引量:1

Energy efficiency optimization for sub-connected active reconfigurable intelligent surface-assisted wideband cell-free networks

在线阅读下载全文

作  者:孙钢灿[1] 王硕[1] 宁冰 郝万明[1] SUN Gangcan;WANG Shuo;NING Bing;HAO Wanming(School of Electrical and Information Engineering,Zhengzhou University,Zhengzhou 450001,China;School of Electronic and Information,Zhongyuan University of Technology,Zhengzhou 450007,China)

机构地区:[1]郑州大学电气与信息工程学院,河南郑州450001 [2]中原工学院电子信息学院,河南郑州450007

出  处:《通信学报》2024年第2期127-136,共10页Journal on Communications

基  金:国家自然科学基金资助项目(No.62101499,No.62101613);河南省高校科技创新人才支持计划基金资助项目(No.24HASTIT038);河南省科技攻关基金资助项目(No.222102210068)。

摘  要:面对无蜂窝网络中超密集基站部署产生的高功耗问题,提出了一种基于子连接有源可重构智能表面辅助的宽带无蜂窝网络系统。考虑有源智能超表面最大功率约束、放大因子约束和基站端最大功率约束,构建了一个联合基站和可重构智能表面波束优化的能效最大化问题。由于所形成的优化问题非凸,提出了一种交替优化方案将原问题转化为多个子问题,进而利用块坐标下降、拉格朗日对偶变换、多维复二次变换等方法将每个子问题转化为凸优化问题,通过交替求解每个子问题最终获得原问题的解。仿真结果验证了所提方案的有效性。In the face of the high power consumption issue caused by the dense deployment of base stations in cell-free networks,a wideband cell-free network system with sub-connected active reconfigurable intelligent surface(RIS)was proposed.Firstly,based on the constraints of maximum power consumption at the active RIS,amplification factor,and maximum power consumption at the base station,a joint precoding design problem for the base station and RIS was formulated to maximize the energy efficiency.To solve the non-convex problem,advanced techniques including alternating optimization,block coordinate descent,Lagrange dual reconstruction,and multidimensional complex quadratic transformation were applied to transform the original problem into multiple sub-problems.By iteratively solving each sub-problem,the solutions of the original problem was ultimately obtained.The simulation results validate the effectiveness of the proposed scheme.

关 键 词:有源可重构智能表面 子连接架构 无蜂窝网络 宽带 能效 

分 类 号:TN92[电子电信—通信与信息系统]

 

参考文献:

正在载入数据...

 

二级参考文献:

正在载入数据...

 

耦合文献:

正在载入数据...

 

引证文献:

正在载入数据...

 

二级引证文献:

正在载入数据...

 

同被引文献:

正在载入数据...

 

相关期刊文献:

正在载入数据...

相关的主题
相关的作者对象
相关的机构对象