Utilizing Attitude Information for Efficient Multi-User Millimeter-Wave Communications

Li, Mingrui; Qin, Xiaowei; Chen, Yunfei; Wang, Weidong; Chen, Li

Abstract

Sensing has played an important role in the 5G wireless network. It is well recognized that the energy efficiency of mobile devices can be further improved with the assistance of sensing. As an important sensing resource, attitude information is highly related to the angle of arrivals (AoAs) information when user equipments (UEs) rotate. It provides great potential to improve transceiver designs for multi-user millimeter-wave (mmWave) green communications. In this paper, we propose an attitude information aided block diagonalization receiver design algorithm. We first adopt angle of departure aided block diagonalization (AoD-BD) to eliminate inter-user interference (IUI). Then we compensate the rotation for each UE by only updating the receiver with attitude information from motion sensors. Compared to the joint transceiver design performance, we have theoretically proved that the sum spectral efficiency performance penalty of keeping transmitter unchanged is generally negligible. Furthermore, we consider the effect of imperfect attitude information, and derive a robust receiver by modeling the measurement error as Gaussian. Finally, the simulation results are presented to verify the effectiveness of the proposed design. It is noted that no feedback is required between the base station (BS) and UE during the rotation, which substantially reduces the system overhead.

Citation

Li, M., Qin, X., Chen, Y., Wang, W., & Chen, L. (2023). Utilizing Attitude Information for Efficient Multi-User Millimeter-Wave Communications. IEEE Transactions on Green Communications and Networking, 7(2), 800-813. https://doi.org/10.1109/tgcn.2023.3241932

• Journal Article Type: Article
• Acceptance Date: Jan 30, 2023
• Online Publication Date: Feb 3, 2023
• Publication Date: 2023-06
• Deposit Date: Feb 13, 2023
• Publicly Available Date: Feb 13, 2023
• Journal: IEEE Transactions on Green Communications and Networking
• Electronic ISSN: 2473-2400
• Publisher: Institute of Electrical and Electronics Engineers
• Peer Reviewed: Peer Reviewed
• Volume: 7
• Issue: 2
• Pages: 800-813
• DOI: https://doi.org/10.1109/tgcn.2023.3241932
• Public URL: https://durham-repository.worktribe.com/output/1179543