Location-Aided User Clustering and Power Allocation for NOMA in 5G mmWave Networks
- Authors
- Orikumhi, Igbafe; Jwa, Hye-Kyung; Na, Jee-Hyeeon; Kim, Sunwoo
- Issue Date
- Oct-2020
- Publisher
- IEEE Computer Society
- Keywords
- Location-aware communication; power allocation; multi-user beamforming; user clustering; mmWave; NOMA
- Citation
- International Conference on ICT Convergence, v.2020, no.October, pp.264 - 268
- Indexed
- SCOPUS
- Journal Title
- International Conference on ICT Convergence
- Volume
- 2020
- Number
- October
- Start Page
- 264
- End Page
- 268
- URI
- https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/3664
- DOI
- 10.1109/ICTC49870.2020.9289183
- ISSN
- 2162-1233
- Abstract
- In this paper, we propose a location-aided user clustering and power allocation strategy for non-orthogonal multiple access in a multi-user scenario. Specifically, we exploit the location information of the users to improve the total system sum-rate. This is achieved by first clustering the users based on the available location information at the base station. Such clustering enables the inter-cluster interference to be suppressed with orthogonal beam design. Next, a location-aided power allocation strategy is derived using the Lagrange approach to ensure the sum-rate maximization of the user equipment in each cluster. The performance of the proposed scheme is verified by simulation, and the results show that the proposed location-aided power allocation scheme can improve the system sum-rate compared to the conventional multi-user beamforming systems.
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