A 6G Pervasive Beam Domain Channel Model for All Frequency Bands and All Scenarios
Channel models with a good balance of pervasiveness, accuracy, and efficiency are important for the design and optimization of the sixth generation (6G) wireless communication systems. In this paper, a pervasive beam domain channel model (BDCM) capable of modeling all frequency bands and scenarios in 6G is proposed. Unlike traditional geometry-based stochastic models (GBSMs) that describe channels between antenna pairs in the space domain, the pervasive BDCM reformulates the channel in terms of beam pairs to describe special channel characteristics in the beam domain, such as sparsity and Doppler insensibility. The proposed BDCM incorporates essential spatial wideband and spherical wavefront effects for ultra-massive multiple-input multiple-output (MIMO) by considering the nonlinear phase variations across antenna arrays. The pervasive transform matrices for different antenna configurations are derived to enable flexible conversions between the pervasive GBSM and pervasive BDCM. In addition, key statistical properties of the BDCM are derived and analyzed. The proposed pervasive BDCM in different frequency bands and scenarios are validated by measurement data and compared with the GBSM results. The complexity analysis reveals that the proposed pervasive BDCM significantly reduces the computational complexity compared with the pervasive GBSM under different scatterer densities.
Authors
- Rui Feng (ORCID: https://orcid.org/0000-0003-3345-5733)
- Xiqi Gao (ORCID: https://orcid.org/0000-0001-9107-6593)
- Zhen Lv (ORCID: https://orcid.org/0000-0002-4506-9517)
- Jun Wang (ORCID: https://orcid.org/0000-0002-9733-9515)
- Cheng‐Xiang Wang (ORCID: https://orcid.org/0000-0002-9729-9592)
- Zheng-Rong Jin
- Yunfei Chen (ORCID: https://orcid.org/0000-0001-8083-1805)
Institutions
- Durham University (GB)
- Purple Mountain Laboratories (CN)
- Southeast University (CN)
Publication Details
- Journal
- IEEE Transactions on Communications
- Published
- 2025-12-03
- DOI
- https://doi.org/10.1109/tcomm.2025.3640082
- Primary Topic
- Advanced MIMO Systems Optimization
- Type
- article
- Field-Weighted Citation Impact
- 0.00