Gridization based reconfigurable intelligent surface-aided wireless network optimization

LU Haoyu; ZHUANG Hongcheng; CHEN Zengping; PANG Gaokun

doi:10.13471/j.cnki.acta.snus.2023B006

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Gridization based reconfigurable intelligent surface-aided wireless network optimization

Research articles | 更新时间：2023-11-07

- Gridization based reconfigurable intelligent surface-aided wireless network optimization
- Acta Scientiarum Naturalium Universitatis Sunyatseni Vol. 62, Issue 5, Pages: 85-91(2023)
- 作者机构：
  
  1.中山大学电子与通信工程学院，广东深圳 518107
  2.荣耀终端有限公司，广东深圳 518040
- 作者简介：
- 基金信息：
- DOI：10.13471/j.cnki.acta.snus.2023B006
  CLC： TN929.5
- Published：25 September 2023，
  
  Published Online：28 June 2023，
  
  Received：10 March 2023，
  
  Accepted：27 April 2023
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卢浩宇,庄宏成,陈曾平等.基于栅格化的智能超表面辅助无线网络优化[J].中山大学学报(自然科学版),2023,62(05):85-91.

LU Haoyu,ZHUANG Hongcheng,CHEN Zengping,et al.Gridization based reconfigurable intelligent surface-aided wireless network optimization[J].Acta Scientiarum Naturalium Universitatis Sunyatseni,2023,62(05):85-91.
卢浩宇,庄宏成,陈曾平等.基于栅格化的智能超表面辅助无线网络优化[J].中山大学学报(自然科学版),2023,62(05):85-91. DOI： 10.13471/j.cnki.acta.snus.2023B006.

LU Haoyu,ZHUANG Hongcheng,CHEN Zengping,et al.Gridization based reconfigurable intelligent surface-aided wireless network optimization[J].Acta Scientiarum Naturalium Universitatis Sunyatseni,2023,62(05):85-91. DOI： 10.13471/j.cnki.acta.snus.2023B006.

摘要

随着无线网络密集化、网络覆盖容量日益立体化，传统的自组织网络（SON，self-organizing network）技术愈发不能保障网络优化的稳定性。针对无线网络由于干扰、受障碍物遮挡等导致的弱覆盖问题，提出了基于栅格化的智能超表面（RIS，reconfigurable intelligent surface）辅助覆盖优化的方法。建模弱覆盖问题为最大化覆盖问题区域的接收信号强度，其优化变量为RIS的部署位置、入射角和相位。针对优化问题的解耦处理难以获得最优解，通过覆盖问题区域栅格化确定RIS反射角集合，提出了快速获得最优RIS相位的算法，大大简化了原优化问题的求解。

Abstract

With the increasing densification of wireless networks and the need for multifaced network coverage and capacity

achieving stable network optimization becomes more challenging for SON technology. Aiming at the problem of weak coverage resulting from interference and obstacle blocking in wireless network， this paper proposes a gridization based RIS-aided optimization scheme. The weak coverage problem is formulated to maximize the received signal strength of the coverage problem area and its optimization variables are the location， incident angle and phase shift of RIS. Since traditional decoupling processing struggles to find the optimal solution， the scheme proposed by this paper specifies the set of reflection angles by rasterizing the coverage problem area， and then rapidly find the optimal phase shift of RIS， which simplifies the solving of original optimization problem significantly.

关键词

智能超表面自组织网络毫米波覆盖优化

Keywords

RISself-organizing networkmillimeter wavecoverage optimization

references

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