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

doi:10.11959/j.issn.1000-436x.2024031

通信学报 ›› 2024, Vol. 45 ›› Issue (2): 127-136.doi: 10.11959/j.issn.1000-436x.2024031

• 学术论文 • 上一篇

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

孙钢灿¹, 王硕¹, 宁冰², 郝万明¹

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

修回日期:2023-10-10 出版日期:2024-02-01 发布日期:2024-02-01
作者简介:孙钢灿（1977− ），男，河南濮阳人，博士，郑州大学教授，主要研究方向为深度学习、机器学习、无线通信、物理层安全技术等
王硕（1998− ），男，河南周口人，郑州大学硕士生，主要研究方向为无线通信与深度学习
宁冰（1986− ），女，河南郑州人，博士，中原工学院副教授，主要研究方向为无线通信、认知协作下的资源分配
郝万明（1988− ），男，河南林州人，博士，郑州大学副研究员，主要研究方向为毫米波通信、大规模 MIMO 技术、物理层安全技术等
基金资助:
国家自然科学基金资助项目(62101499);国家自然科学基金资助项目(62101613);河南省高校科技创新人才支持计划基金资助项目(24HASTIT038);河南省科技攻关基金资助项目(222102210068)

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

Gangcan SUN¹, Shuo WANG¹, Bing NING², Wanming HAO¹

¹ School of Electrical and Information Engineering, Zhengzhou University, Zhengzhou 450001, China
² School of Electronic and Information, Zhongyuan University of Technology, Zhengzhou 450007, China

Revised:2023-10-10 Online:2024-02-01 Published:2024-02-01
Supported by:
The National Natural Science Foundation of China(62101499);The National Natural Science Foundation of China(62101613);Project Sponsored by Program for Science＆ Technology Innovation Talents in Universities of Henan Province(24HASTIT038);Henan Science and Technology Planning Project(222102210068)

摘要/Abstract

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。

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

Abstract:

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.

Key words: active reconfigurable intelligent surface, sub-connected architecture, cell-free network, wideband, energy ef-ficiency

中图分类号:

TN92

孙钢灿, 王硕, 宁冰, 郝万明. 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[J]. 通信学报, 2024, 45(2): 127-136.

Gangcan SUN, Shuo WANG, Bing NING, Wanming HAO. Energy efficiency optimization for sub-connected active reconfigurable intelligent surface-assisted wideband cell-free networks[J]. Journal on Communications, 2024, 45(2): 127-136.

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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

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

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