Matching Game Based User Access Algorithm in Energy-Harvesting Small Cell Network

In order to increase the capacity and improve the spectrum efficiency of wireless communication system, this paper proposes a rate-based iterative one-to-one matching game algorithm to realize multi users access an energy-harvesting small cells considering NOMA (non-orthogonal multiple access) in heterogeneous cellular networks. First, we use a heuristic clustering based channel allocation algorithm to assign channels to small cells and reduce the interference. Then we model user access problem as an iterative one-to-one matching game with rate as its utility, where one user matches with one small cell at each matching game and so is the small cell. After that, we propose an algorithm to iteratively enable users to access small cells in terms of proposed matching game and prove its stability. Finally, a power allocation algorithm to reallocate transmission power for each user is presented to fully use the harvesting power. Simulation results show that this algorithm outperforms OMA (orthogonal multiple access) system in efficiency besides improving the system capacity.