| IEEE Access | |
| Distributed Channel Allocation for D2D-Enabled 5G Networks Using Potential Games | |
| Marco Moretti1  Mikael Johansson2  Andrea Abrardo3  Demia Della Penda4  | |
| [1] Consorzio Nazionale Interuniversitario per le Telecomunicazioni, Parma, Italy;Department of Automatic Control, School of Electrical Engineering and Computer Science, KTH Royal Institute of Technology, Stockholm, Sweden;Department of Information Engineering, University of Siena, Siena, Italy;Ericsson AB, Kista, Sweden; | |
| 关键词: Distributed allocation; 5G system; optimization; OFDMA; device-to-device; potential games; | |
| DOI : 10.1109/ACCESS.2019.2891823 | |
| 来源: DOAJ | |
【 摘 要 】
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.
【 授权许可】
Unknown