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2 results on '"Modeling channel selection"'

1. On modeling channel selection in LTE-U as a repeated game

Author

Universitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions, Universitat Politècnica de Catalunya. GRCM - Grup de Recerca en Comunicacions Mòbils, Pérez Romero, Jordi, Sallent Roig, Oriol, Ahmadi, H., Macaluso, I., Universitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions, Universitat Politècnica de Catalunya. GRCM - Grup de Recerca en Comunicacions Mòbils, Pérez Romero, Jordi, Sallent Roig, Oriol, Ahmadi, H., and Macaluso, I.

Abstract

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., Peer Reviewed, Postprint (published version)

Published
2016

2. On modeling channel selection in LTE-U as a repeated game

Author

Hamed Ahmadi, Jordi Pérez-Romero, Irene Macaluso, Oriol Sallent, Universitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions, and Universitat Politècnica de Catalunya. GRCM - Grup de Recerca en Comunicacions Mòbils

Subjects
Mathematical optimization, Artificial intelligence, Learning (artificial intelligence), Computer science, Iterative trial and error learning-best action, 050801 communication & media studies, Throughput, 02 engineering and technology, Nash equilibrium, symbols.namesake, 0508 media and communications, 0202 electrical engineering, electronic engineering, information engineering, LTE-U, Jocs, Teoria de, Learning algorithm, Selection (genetic algorithm), Matemàtiques i estadística::Investigació operativa::Teoria de jocs [Àrees temàtiques de la UPC], Game theory, Long term evolution, business.industry, Intel·ligència artificial, 05 social sciences, 020206 networking & telecommunications, Long term evolution unlicensed, Telecommunication channels, Modeling channel selection, Channel selection problem, Repeated game, symbols, Informàtica::Intel·ligència artificial [Àrees temàtiques de la UPC], business, Communication channel
Abstract

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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