Phase Shift Design for Multiple Incident Beams in Low Complexity RIS Under 5G Commercial Networks: Simulation and Measurement
With the capability to configure wireless propagation environment, reconfigurable intelligent surface (RIS) has attracted wide attention from both academia and industry, in which measurement campaign of RIS in commercial networks is of great importance for performance evaluation. However, existing RIS configuration schemes in practical environments are generally angle-based which require accurate angle information and mainly consider single incident beam, or statistical methods with high sampling overhead. In this paper, we propose a phase shift design scheme for RIS referred to as multiple incident beam superposition (MIBS) scheme, which can be applied in scenarios with incident signals on the RIS from multiple directions. Instead of utilizing random sampling, the proposed scheme firstly employs an incident beam scanning process to extract the incident beam information by pre-calculated codebook to reduce sampling cost, and requires no complex channel estimation or prior channel information. Then the proposed scheme concentrates the incident beams toward the desired reflection direction through a phase shift superposition algorithm. Numerical simulations verify the excellent performance and a 90% sample reduction of the proposed scheme compared with existing methods under the condition of 1-bit RIS hardware for practical applications. Furthermore, a measurement campaign in 5G commercial networks is conducted to validate the advantages of the proposed MIBS scheme in optimizing crucial signal metrics, yielding a 6.76 dB RSRP gain, a 4.9 dB SINR gain and a 37% throughput improvement, showing great potential of RIS for coverage enhancement.
Authors
- Tie Jun Cui (ORCID: https://orcid.org/0000-0002-5862-1497)
- Shi Jin (ORCID: https://orcid.org/0000-0003-0271-6021)
- Wankai Tang (ORCID: https://orcid.org/0000-0002-1751-3457)
- Jiachen Li
- Weicong Chen (ORCID: https://orcid.org/0000-0003-0001-0906)
- Xiao Li (ORCID: https://orcid.org/0000-0001-9660-9053)
- Xin Su (ORCID: https://orcid.org/0000-0002-6008-9137)
- Xiaoyang Zhou
- He Qian
Institutions
- China Mobile (China) (CN)
- Southeast University (CN)
Publication Details
- Journal
- IEEE Transactions on Wireless Communications
- Published
- 2025-10-15
- DOI
- https://doi.org/10.1109/twc.2025.3619429
- Primary Topic
- Antenna Design and Optimization
- Type
- article
- Field-Weighted Citation Impact
- 0.00