User-interest-aware multicast group formation in OFDM networks using matching theory

Abstract

The emergence of 5G wireless communication calls for new paradigms to satisfy the individuation and diversification of users' demands. In this paper, we construct the multicast groups under the guidance of user interest and then allocate the subcarriers and power to these groups in orthogonal frequency division multiple (OFDM) networks. Specifically, in order to maximize the social utility related to user interest, a two-step algorithm is proposed: firstly, the multicast group formation which consists of user-service association and service-subcarrier association problems is conducted; in the second step, power allocation is determined by water-filling algorithm. We adopt the matching theory to solve the problem. Therein, the service-subcarrier association problem is formulated as a many-to-one matching while the sets of services and subcarriers are considered as players driven by their own benefit. Simulation results show that the proposed algorithm can improve the social utility dramatically compared with the case taking no advantage of user interest.