Frequency channel allocation is a key technique for improving the performance of cellular networks. In this paper, we address the channel allocation problem for a 5G multi-cell system. We consider a heterogeneous network in which cellular users, micro-cell users, and device-to-device (D2D) communications coexist within the radio footprint of the macro cell. We maximize the aggregate transmission rate, exploiting channel diversity and managing both the inter-cell interference, typical of cellular networks and the intra-cell interference generated by the nonorthogonal transmissions of the small-cell and D2D users. By modeling the allocation problem as a potential game, whose Nash equilibria correspond to the local optima of the objective function, we propose a new decentralized solution. The convergence of our scheme is enforced by using a better response dynamic based on a message passing approach. The simulation results assess the validity of the proposed scheme in terms of convergence time and achievable rate under different settings.
Della Penda, D., Abrardo, A., Moretti, M., & Johansson, M. (2019). Distributed channel allocation for D2D-enabled 5G networks using potential games. IEEE ACCESS, 7, 11195-11208.
|Titolo:||Distributed channel allocation for D2D-enabled 5G networks using potential games|
|Citazione:||Della Penda, D., Abrardo, A., Moretti, M., & Johansson, M. (2019). Distributed channel allocation for D2D-enabled 5G networks using potential games. IEEE ACCESS, 7, 11195-11208.|
|Appare nelle tipologie:||1.1 Articolo in rivista|