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Title:
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On modeling channel selection in LTE-U as a repeated game
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Author:
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Pérez Romero, Jordi; Sallent Roig, José Oriol; Ahmadi, H.; Macaluso, I.
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Other authors:
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Universitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions; Universitat Politècnica de Catalunya. GRCM - Grup de Recerca en Comunicacions Mòbils |
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Abstract:
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This paper addresses the channel selection problem for Long Term Evolution Unlicensed (LTE-U). Channel selection is a frequency-domain mechanism that facilitates the coexistence of multiple networks sharing the unlicensed band. In particular, the paper considers a fully distributed approach where each small cell autonomously selects the
channel to set-up an LTE-U carrier. The problem is modeled using a non-cooperative repeated game and the Iterative Trial and Error Learning - Best Action (ITEL-BA) learning algorithm is used to drive convergence towards a Nash Equilibrium. The proposed approach is evaluated by means of simulations in different situations analyzing both the throughput performance and the convergence behavior. |
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Abstract:
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Peer Reviewed |
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Subject(s):
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-Àrees temàtiques de la UPC::Informàtica::Intel·ligència artificial
-Àrees temàtiques de la UPC::Matemàtiques i estadística::Investigació operativa::Teoria de jocs
-Artificial intelligence
-Game theory
-Game theory
-Learning (artificial intelligence)
-Long term evolution
-Telecommunication channels
-Modeling channel selection
-LTE-U
-Repeated game
-Long term evolution unlicensed
-Channel selection problem
-Iterative trial and error learning-best action
-Learning algorithm
-Nash equilibrium
-Intel·ligència artificial
-Jocs, Teoria de |
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Rights:
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Document type:
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Article - Published version
Conference Object |
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Published by:
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Institute of Electrical and Electronics Engineers (IEEE)
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