Work

RIS-aided Real-time Beam Tracking for a Mobile User via Bayesian Optimization

Year: 2023

Type: preprint

Abstract: The conventional beam management procedure mandates that the user equipment (UE) periodically measure the received signal reference power (RSRP) and transmit these measurements to the base station (BS). The challenge lies in balancing the number of beams used: it should be large enough to identify high-RSRP beams but small enough to minimize reporting overhead. This paper investigates this essential performance-versus-overhead trade-off using Bayesian optimization. The proposed approach represents the first application of real-time beam tracking via Bayesian optimization in RIS-assisted communication systems. Simulation results validate the effectiveness of this scheme.

Source: arXiv (Cornell University)

DOI: 10.48550/arxiv.2310.19014

Authors: Liu, Junshuo, Xiong, Rujing, Lu, Jialong, Mi, Tiebin, Qiu, Robert C.

Institution: Huazhong University of Science and Technology

Language: English

Topic: Advanced Wireless Communication Technologies

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: green

Funder: National Natural Science Foundation of China