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Distributed Channel Allocation for D2D-Enabled 5G Networks Using Potential Games
Ericsson AB, S-16480 Kista, Sweden..
Univ Siena, Dept Informat Engn, I-53100 Siena, Italy.;Consorzio Nazl Interuniv Telecomunicaz, I-43124 Parma, Italy..
Consorzio Nazl Interuniv Telecomunicaz, I-43124 Parma, Italy.;Univ Pisa, Dept Informat Engn, I-56122 Pisa, Italy..ORCID iD: 0000-0002-3822-0995
KTH, School of Electrical Engineering and Computer Science (EECS), Automatic Control.
2019 (English)In: IEEE Access, E-ISSN 2169-3536, Vol. 7, p. 11195-11208Article in journal (Refereed) Published
Abstract [en]

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.

Place, publisher, year, edition, pages
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC , 2019. Vol. 7, p. 11195-11208
Keywords [en]
Distributed allocation, 5G system, optimization, OFDMA, device-to-device, potential games, message passing
National Category
Communication Systems
Identifiers
URN: urn:nbn:se:kth:diva-244553DOI: 10.1109/ACCESS.2019.2891823ISI: 000457752900001Scopus ID: 2-s2.0-85061138135OAI: oai:DiVA.org:kth-244553DiVA, id: diva2:1295889
Note

QC 20190313

Available from: 2019-03-13 Created: 2019-03-13 Last updated: 2019-03-13Bibliographically approved

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Johansson, Mikael

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