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Conference Paper
Location-Aided User Clustering and Power Allocation for NOMA in 5G mmWave Networks
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- Authors
- Igbafe Orikumhi, Hye-Kyung Jwa, Jee-Hyeeon Na, Sunwoo Kim
- Issue Date
- 2020-10
- Citation
- International Conference on Information and Communication Technology Convergence (ICTC) 2020, pp.264-268
- Publisher
- IEEE
- Language
- English
- Type
- Conference Paper
- 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.
- KSP Keywords
- Allocation scheme, Beam design, Inter-cluster interference, Location information(GPS), Location-aided, MmWave networks, Non-orthogonal multiple access(NOMA), Sum-rate maximization, User Scenario, User equipment(UE), allocation strategy