Coverage enhancement for reconfigurable intelligent surface based on semidefinite programming

Yang Zuyuan; Wang Ning; Shen Lingfeng; Zhang Qiankun; Chen Renxiang; Jia Shaobo

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

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Coverage enhancement for reconfigurable intelligent surface based on semidefinite programming

Research and Development | 更新时间：2026-05-13

- Coverage enhancement for reconfigurable intelligent surface based on semidefinite programming
- Telecommunications Science Vol. 42, Issue 4, Pages: 45-57(2026)
- 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：
- 基金信息：
  
  The National Natural Science Foundation of China Youth Science Fund(62301502)
- DOI：10.11959/j.issn.1000-0801.DXKX250627
  CLC： TN929.5
- Received：27 October 2025，
  
  Revised：2025-11-22，
  
  Accepted：24 December 2025，
  
  Published：20 April 2026
- 稿件说明：
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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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