Rate Splitting-Based Hybrid Beamforming for Multi-User Downlink Cellular Networks
- Authors
- Chae, Sung Ho; Kim, Hyeon Woong; Park, Hyun Jung; Jeon, Sang-Woon
- Issue Date
- Jun-2024
- Publisher
- Institute of Electrical and Electronics Engineers
- Keywords
- Array signal processing; Antennas; NOMA; MIMO communication; Radio frequency; Downlink; Streams; Cellular network; downlink channel; genetic algorithm; hybrid beamforming; linear beamforming; multiple-input multiple-output (MIMO); multi-user communication; rate splitting
- Citation
- IEEE Transactions on Communications, v.72, no.6, pp 3338 - 3351
- Pages
- 14
- Indexed
- SCIE
SCOPUS
- Journal Title
- IEEE Transactions on Communications
- Volume
- 72
- Number
- 6
- Start Page
- 3338
- End Page
- 3351
- URI
- https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/119909
- DOI
- 10.1109/TCOMM.2024.3366391
- ISSN
- 0090-6778
1558-0857
- Abstract
- We study a new rate splitting (RS)-based hybrid beamforming scheme for multi-user downlink cellular networks in which the base station having a hybrid beamforming structure serves multiple users each having conventional multiple antennas. To maximize the potential of RS, we propose a general RS-enabled hybrid beamforming framework that can be applied to both fully-connected and sub-array hybrid beamforming structures, allowing for the assignment of a flexible number of streams for each user. Our proposed RS method divides each stream into an arbitrary number of common and private sub-streams, where private sub-streams are only recoverable by a dedicated user, whereas common streams can be recovered by all users. We propose a low-complexity analog and digital beamforming design suitable for the proposed RS and optimize the number of allocated common and private sub-streams for all users through a low-complexity genetic algorithm to maximize the achievable sum rate or minimum rate over multiple users. Numerical results demonstrate that the proposed scheme achieves a near-optimal sum rate close to that of dirty paper coding with low computational complexity and outperforms the benchmark approaches without considering RS.
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