基于半正定规划的智能超表面的覆盖增强

杨祖源; 王宁; 申凌峰; 张千坤; 陈任翔; 贾少波

doi:10.11959/j.issn.1000-0801.DXKX250627

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基于半正定规划的智能超表面的覆盖增强

研究与开发 | 更新时间：2026-05-13

- 基于半正定规划的智能超表面的覆盖增强
- Coverage enhancement for reconfigurable intelligent surface based on semidefinite programming
- 电信科学 2026年42卷第4期页码：45-57
- 作者机构：
  
  1.郑州大学电气与信息工程学院，河南郑州 450001
  2.河南大学软件学院，河南开封 475004
  3.中讯邮电咨询设计院有限公司郑州分公司，河南郑州450007
- 作者简介：
  
  [ "杨祖源（2002- ），男，郑州大学电气与信息工程学院硕士生，主要研究方向为智能反射面和无线通信。" ]
  [ "王宁（1982- ），男，郑州大学电气与信息工程学院教授、博士生导师，主要研究方向为无线通信、信息安全、统计信号处理等。" ]
  [ "申凌峰（1992- ），男，河南大学软件学院讲师，主要研究方向为B5G/6G通信、无人机通信、物联网、高精度定位等。" ]
  [ "张千坤（1992- ），男，中讯邮电咨询设计院有限公司郑州分公司工程师，主要研究方向为信号处理、通信感知一体化、5G移动通信。" ]
  [ "陈任翔（1978- ），男，中讯邮电咨询设计院有限公司郑州分公司高级工程师，主要研究方向为通信感知一体化、5G移动通信。" ]
  [ "贾少波（1988- ），男，郑州大学电气与信息工程学院副教授、硕士生导师，主要研究方向为物理层安全、反向散射通信、智能反射面辅助通信、水声探测与通信等。" ]
- 基金信息：
  
  国家自然科学基金青年科学基金资助项目(62301502)
- DOI：10.11959/j.issn.1000-0801.DXKX250627
  中图分类号： TN929.5
- 收稿：2025-10-27，
  
  修回：2025-11-22，
  
  录用：2025-12-24，
  
  纸质出版：2026-04-20
- 稿件说明：
移动端阅览
杨祖源,王宁,申凌峰等.基于半正定规划的智能超表面的覆盖增强[J].电信科学,2026,42(04):45-57.

Yang Zuyuan,Wang Ning,Shen Lingfeng,et al.Coverage enhancement for reconfigurable intelligent surface based on semidefinite programming[J].Telecommunications Science,2026,42(04):45-57.
杨祖源,王宁,申凌峰等.基于半正定规划的智能超表面的覆盖增强[J].电信科学,2026,42(04):45-57. DOI： 10.11959/j.issn.1000-0801.DXKX250627.

Yang Zuyuan,Wang Ning,Shen Lingfeng,et al.Coverage enhancement for reconfigurable intelligent surface based on semidefinite programming[J].Telecommunications Science,2026,42(04):45-57. DOI： 10.11959/j.issn.1000-0801.DXKX250627.

摘要

可重构智能超表面（reconfigurable intelligent surface，RIS）作为第六代移动通信系统的关键使能技术之一，能够有效增强信号强度与通信质量，从而提升系统整体性能。在实际应用中，1-bit离散相位方案因其硬件复杂度低而更具工程实用性，但离散相位约束通常导致波束成形问题难以直接求解。为此，提出一种融合雷达感知的优化方法。该方法首先利用雷达模块获取环境几何信息以构建信道模型。在此基础上，以接收功率最大化为目标，建立半正定规划问题。这一操作引入了秩一约束，通过凸松弛技术将其转化成可以高效求解的凸优化形式，并引入线性项将结果推向极值点，从而满足1-bit离散相位需求。最后，通过搭建RIS辅助通信系统实验平台，验证了所提算法的可行性与有效性，为未来大规模RIS系统的工程部署提供了理论与实验支撑。

Abstract

The reconfigurable intelligent surface (RIS)

as one of the key enabling technologies for the sixth-generation mobile communication systems

is employed to effectively enhance signal strength and communication quality

thereby improving the overall system performance. In practical applications

the 1‑bit discrete phase‑shift scheme is considered more suitable for engineering implementation due to its lower hardware complexity

however

the discrete‑phase constraint typically makes the beamforming problem difficult to solve directly. To address this challenge

an optimization method incorporating radar sensing was proposed. Firstly

environmental geometric information acquired by a radar module was used to construct a channel model. On this basis

a semidefinite programming problem was formulated with the objective of maximizing the received power. This formulation introduced a rank‑one constraint

which was then transformed into an efficiently solvable convex optimization form via convex relaxation. Moreover

a linear term was incorporated to push the solution toward extremal points

thereby satisfying the 1‑bit discrete‑phase requirement. Finally

an RIS‑assisted communication system experimental platform was established

and the feasibility and effectiveness of the proposed algorithm were verified

providing both theoretical and experimental support for the future engineering deployment of large‑scale RIS systems.

关键词

Keywords

references

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