
Research Article
Energy-Efficient Multi-cell NOMA Design via Coalition Formation Game
@INPROCEEDINGS{10.1007/978-3-031-23141-4_16, author={Yanqing Xu and Donghong Cai and Shuai Wang and Zhicheng Dong and Weixi Zhou}, title={Energy-Efficient Multi-cell NOMA Design via Coalition Formation Game}, proceedings={Game Theory for Networks. 11th International EAI Conference, GameNets 2022, Virtual Event, July 7--8, 2022, Proceedings}, proceedings_a={GAMENETS}, year={2023}, month={1}, keywords={User grouping Robust beamforming design Coalition formation game Semidefinite relaxation}, doi={10.1007/978-3-031-23141-4_16} }
- Yanqing Xu
Donghong Cai
Shuai Wang
Zhicheng Dong
Weixi Zhou
Year: 2023
Energy-Efficient Multi-cell NOMA Design via Coalition Formation Game
GAMENETS
Springer
DOI: 10.1007/978-3-031-23141-4_16
Abstract
In this work, we consider a downlink non-orthogonal multiple access (NOMA) network where multiple single-antenna users are served by multiple multi-antenna base stations (BSs). For practical considerations, we assume that only the imperfect channel state information (CSI) of each user is available at the BSs. Based on this model, the problem of joint user grouping and robust beamforming design is formulated to minimize the sum transmission power, and meanwhile, guarantee the quality of service requirements of users. Due to the integer variables of user grouping, coupling effects of beamformers, and infinitely many constraints caused by the imperfect CSI, the formulated problem is challenging to solve. For computational complexity reduction, the original problem is divided into a user grouping subproblem and a robust beamforming design subproblem. First, the user grouping problem is efficiently solved by a coalition formation game based algorithm. Then, for the robust beamforming design problem, a semidefinite relaxation (SDR) based method is proposed to produce a suboptimal solution efficiently. Moreover, we provide a sufficient condition under which the SDR based approach can guarantee to obtain an optimal rank-one solution, which is theoretically analyzed. Simulation results demonstrate the efficacy of the proposed algorithms.