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 non orthogonal transmissions of the small-cell and D2D users. By modelling the allocation problem as a potential game, whose Nash equilibria correspond to 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. Simulation results assess the validity of the proposed scheme in terms of convergence time and achievable rate under different settings.

Distributed Channel Allocation for D2D-Enabled 5G Networks Using Potential Games

Moretti, Marco;
2019-01-01

Abstract

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 non orthogonal transmissions of the small-cell and D2D users. By modelling the allocation problem as a potential game, whose Nash equilibria correspond to 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. Simulation results assess the validity of the proposed scheme in terms of convergence time and achievable rate under different settings.
2019
Penda, Demia Della; Abrardo, Andrea; Moretti, Marco; Johansson, Mikael
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11568/948932
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