Movement-Robust mmWave VR via Dual-Beam Reception and Predictive Beam Transition

Journal Article (2025)
Author(s)

Rizqi Hersyandika (Katholieke Universiteit Leuven)

Haoqiu Xiong (Katholieke Universiteit Leuven)

Yang Miao (Katholieke Universiteit Leuven, University of Twente)

Q. Wang (TU Delft - Embedded Systems)

Sofie Pollin (Katholieke Universiteit Leuven, Interuniversity Microelectronics Centre)

Research Group
Embedded Systems
DOI related publication
https://doi.org/10.1109/OJCOMS.2025.3556761
More Info
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Publication Year
2025
Language
English
Research Group
Embedded Systems
Volume number
6
Pages (from-to)
2420-2437
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Abstract

The abundant bandwidth in the mmWave band supports high data rates and low latency communication, making it ideal for delivering realistic and seamless virtual reality experiences. However, a key challenge lies in adapting the mmWave beams to the highly dynamic user movements, which often cause beam misalignment, resulting in signal degradation and potential outages. Additionally, maintaining uninterrupted signal reception during beam re-alignment due to head rotation requires low-overhead and timely beam transitions to prevent signal drops caused by delayed switching. This paper addresses these challenges with a joint solution at both the access point (AP) and head-mounted display (HMD) ends. Specifically, the proposed solution integrates coordinated multi-point networks with dual-beam reception at the HMD to enhance diversity, improve channel gain, and mitigate outages caused by user movement. Evaluation using real HMD movement datasets demonstrates that dual-beam reception within a coordinated multi-AP setup achieves up to a 22.8% improvement in reliability by reducing outage rates compared to single-beam reception. Experimental validation further highlights the effectiveness of combining widely distributed APs with a locally distributed subarray configuration on the HMD, improving angular coverage during head rotations. Furthermore, our predictive beam transition approach anticipates the future beam during user movements, preventing received signal degradation from delayed transitions while reducing overhead by 43.8% compared to exhaustive periodic beam searches.