Matching theory as enabler of efficient spectrum management in 5G networks
Corresponding Author
Christos Tsirakis
OTE Academy S.A., Department of Informatics and Telecommunications, National and Kapodistrian University of Athens, Athens, Greece
Christos Tsirakis, OTE Academy S.A., Department of Informatics and Telecommunications, National and Kapodistrian University of Athens, Athens, Greece.
Email: [email protected]; [email protected]
Search for more papers by this authorElena Lopez-Aguilera
Department of Network Engineering, Universitat Politècnica de Catalunya, Barcelona, Spain
Search for more papers by this authorDimitris Varoutas
Department of Informatics and Telecommunications, National and Kapodistrian University of Athens, Athens, Greece
Search for more papers by this authorCorresponding Author
Christos Tsirakis
OTE Academy S.A., Department of Informatics and Telecommunications, National and Kapodistrian University of Athens, Athens, Greece
Christos Tsirakis, OTE Academy S.A., Department of Informatics and Telecommunications, National and Kapodistrian University of Athens, Athens, Greece.
Email: [email protected]; [email protected]
Search for more papers by this authorElena Lopez-Aguilera
Department of Network Engineering, Universitat Politècnica de Catalunya, Barcelona, Spain
Search for more papers by this authorDimitris Varoutas
Department of Informatics and Telecommunications, National and Kapodistrian University of Athens, Athens, Greece
Search for more papers by this authorAbstract
This paper analyzes the spectrum trading problem in virtualized fifth generation networks to enhance the network performance with respect to the spectrum utilization. The problem is modeled as a many-to-many matching game with utility-based preferences and determines the matching between mobile network operators and mobile virtual network operators. The two proposed versions of utility functions for each set aim at maximizing the satisfaction of both sets with conflicting interests and improving the overall spectrum efficiency. In the simulation evaluation, the proposed scheme is compared with three different schemes in terms of the system utility, individual, and pair matching satisfaction. We also investigate the scalability aspects, the strategy plan impact on the matching performance of our proposed scheme, and at the same time, we attempt to make appropriate assumptions closer to reality. Our proposed scheme shows much better performance than the other schemes achieving a quite high level of satisfaction for the matching result on both sets.
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