Adaptive Resource Allocation for ICIC in Downlink NOMA Systems

• Published in: 2019 IEEE 90th Vehicular Technology Conference (VTC2019-Fall) pp. 1 - 6
• Main Authors: Lee, Chien-Hao, Kobayashi, Makoto, Wei, Hung-Yu, Saruwatari, Shunsuke, Watanabe, Takashi
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.09.2019
• Subjects: Clustering algorithms; Downlink; NOMA; Radio spectrum management
• ISSN: 2577-2465
• DOI: 10.1109/VTCFall.2019.8891585

Inter-cell interference coordination (ICIC) has been widely studied for mitigating the effects of severe inter-cell interference (ICI) in cell- edge users. However, based on the scarcity of frequency resources in orthogonal multiple access systems, the ICIC methods proposed in the previous papers have difficulty in maintaining the overall performance and fairness of a system. Non-orthogonal multiple access (NOMA) is a promising radio access technology that can serve multiple users simultaneously with the same frequency resources. However, most previous work has not considered the ICI problem in NOMA systems. We propose a centralized adaptive ICIC framework for downlink NOMA systems, including a distributed clustering algorithm, a distributed power allocation algorithm, and a centralized frequency allocation algorithm. Simulation results demonstrate that the proposed framework outperforms all benchmark frameworks and can improve both the overall performance of a system and fairness among users.