A Primer on Near-Field Communications for Next-Generation Multiple Access
Multiple-antenna technologies are advancing toward the development of extremely large aperture arrays and the utilization of extremely high frequencies, driving the progress of next-generation multiple access (NGMA). This evolution is accompanied by the emergence of near-field communications (NFCs), characterized by spherical-wave propagation, which introduces additional range dimensions to the channel and enhances system throughput. In this context, a tutorial-based primer on NFC is presented, emphasizing its applications in multiuser communications and multiple access (MA). The following areas are investigated: 1) the commonly used near-field channel models are reviewed along with their simplifications under various near-field conditions; 2) building upon these models, the information-theoretic capacity limits of NFC-MA are analyzed, including the derivation of the sum-rate capacity and capacity region, and their upper limits for both downlink and uplink scenarios; and 3) a detailed investigation of near-field multiuser beamforming design is presented, offering low-complexity and effective NFC-MA design methodologies in both the spatial and wavenumber (angular) domains. Throughout these investigations, near-field MA is compared with its far-field counterpart to highlight its superiority and flexibility in terms of interference management, thereby laying the groundwork for achieving NGMA.
Authors
- Chongjun Ouyang (ORCID: https://orcid.org/0000-0003-1293-1104)
- Xidong Mu (ORCID: https://orcid.org/0000-0001-8351-360X)
- Yan Chen (ORCID: https://orcid.org/0000-0002-0142-4046)
- Zhaolin Wang (ORCID: https://orcid.org/0000-0003-4614-0175)
- Peiying Zhu (ORCID: https://orcid.org/0000-0002-8801-3206)
Institutions
- University College Dublin (IE)
- Queen's University Belfast (GB)
- Queen Mary University of London (GB)
- Huawei Technologies (Canada) (CA)
Publication Details
- Journal
- Proceedings of the IEEE
- Published
- 2024-08-20
- DOI
- https://doi.org/10.1109/jproc.2024.3436513
- Citations
- 34
- Primary Topic
- Advanced MIMO Systems Optimization
- Type
- article
- Field-Weighted Citation Impact
- 7.10
Funders
- Engineering and Physical Sciences Research Council