Channel Map-Based Angle Domain Multiple Access for Cell-Free Massive MIMO Communications

Chen, Shuaifei; Wang, Cheng-Xiang; Li, Junling; Huang, Chen; Chang, Hengtai; Huang, Yusong; Huang, Jie; Chen, Yunfei

Abstract

Being aware of the channel and its properties is critical for coherent transmission in massive multiple-input multiple-output (M-MIMO) systems due to the large channel dimension in the space domain. In cell-free (CF) systems, the channel dimension increases further as each user is served by multiple access points, with a significant burden on signal processing. Angle domain transmission and channel maps promise to alleviate this burden by reducing channel dimensions in the angle domain and providing a priori channel information through channel measurements and modeling, respectively. In this paper, we propose a channel map-based angle domain multiple access scheme for the uplink CF M-MIMO communications. First, we propose an angle domain data reception scheme constituting receive combining and large-scale fading decoding to maximize spectral efficiency. Then, we derive an initial access criterion utilizing the angle domain channel similarity between users, based on which we propose pilot assignment and access point selection schemes for better trade-offs between spectral and energy efficiency. Finally, we construct two channel map-based transmission mechanisms by wielding different levels of channel information, where a tailored data reception scheme with a newly derived spectral efficiency upper bound is also proposed for quantitative evaluation. Simulation results show that the proposed channel map-based angle domain schemes outperform their space domain alternatives and the schemes without using channel maps regarding spectral and energy efficiency.

Citation

Chen, S., Wang, C.-X., Li, J., Huang, C., Chang, H., Huang, Y., Huang, J., & Chen, Y. (online). Channel Map-Based Angle Domain Multiple Access for Cell-Free Massive MIMO Communications. IEEE Journal of Selected Topics in Signal Processing, https://doi.org/10.1109/JSTSP.2025.3536289

• Journal Article Type: Article
• Acceptance Date: Jan 16, 2025
• Online Publication Date: Feb 13, 2025
• Deposit Date: Jan 24, 2025
• Publicly Available Date: Feb 28, 2025
• Journal: IEEE Journal of Selected Topics in Signal Processing
• Print ISSN: 1932-4553
• Electronic ISSN: 1941-0484
• Publisher: Institute of Electrical and Electronics Engineers
• Peer Reviewed: Peer Reviewed
• DOI: https://doi.org/10.1109/JSTSP.2025.3536289
• Public URL: https://durham-repository.worktribe.com/output/3348950