Performance analysis of multiple RISs aided multi-user mmWave MIMO systems

被引:0
作者
Guang-Hui Li
Dian-Wu Yue
Si-Nian Jin
机构
[1] Dalian Maritime University,College of Information Science and Technology
[2] Southeast University,State Key Laboratory of Millimeter Waves
来源
Wireless Networks | 2024年 / 30卷
关键词
Reconfigurable intelligent surface; Millimeter wave; Ergodic spectral efficiency; Quantization error;
D O I
暂无
中图分类号
学科分类号
摘要
Reconfigurable intelligent surface (RIS) is envisioned to be a promising solution to enhance coverage and capacity of future wireless networks. With the deployment of multiple RISs, the optimal placement and topology are crucial issues that need to be addressed, which are significantly different from that of active BSs/relays. This paper considers a mmWave MIMO system aided by multiple RISs in a circular layout to observe the effect of RIS placement and power scaling law. The active and passive beamforming are configured to combine the signals coherently to improve the spectral efficiency (SE). To this end, we investigate the effect of quantization error on the SE and derive an upper bound. It indicates that the SE loss is only affected by the number of quantization bits and numerical results show that 5-bit quantizer is sufficient to ensure an acceptable SE degradation. Furthermore, we evaluate the performance of the system by formulating the tight upper bounds on the average ergodic spectral efficiency and propose three effective schemes for RIS selection. Our simulation results verify the derivations and validate that the performance of deploying the RISs close to BS is significantly better than that of deploying the RISs randomly in the cell.
引用
收藏
页码:1911 / 1924
页数:13
相关论文
共 77 条
  • [1] Shafi M(2017)5G: a tutorial overview of standards, trials, challenges, deployment, and practice IEEE Journal on Selected Areas in Communications 35 1201-1221
  • [2] Saad W(2020)A vision of 6G wireless systems: applications, trends, technologies, and open research problems IEEE Network 34 134-142
  • [3] Bennis M(2014)Five disruptive technology directions for 5G IEEE Communications Magazine 52 74-80
  • [4] Chen M(2020)Towards smart and reconfigurable environment: intelligent reflecting surface aided wireless network IEEE Communications Magazine 58 106-112
  • [5] Boccardi F(2019)Wireless communications through reconfigurable intelligent surfaces IEEE Access 7 116753-116773
  • [6] Heath RW(2020)Smart radio environment empowered by reconfigurable intelligent surfaces: how it works, state of research, and the road ahead IEEE Journal on Selected Areas in Communications 38 2450-2525
  • [7] Lozano A(2019)Intelligent reflecting surface enhanced wireless network via joint active and passive beamforming IEEE Transactions on Wireless Communications 18 5394-5409
  • [8] Marzetta TL(2019)Reconfigurable intelligent surfaces for energy efficiency in wireless communication IEEE Transactions on Wireless Communications 18 4157-4170
  • [9] Popovski P(2020)Cascaded channel estimation for large intelligent metasurface assisted massive MIMO IEEE Wireless Communications Letter 9 210-214
  • [10] Wu Q(2020)Compressed channel estimation for intelligent reflecting surface-assisted millimeter wave systems IEEE Signal Processing Letters 27 905-909