A Greedy Heuristic Algorithm for Context-Aware User Association and Resource Allocation in Heterogeneous Wireless Networks

Autor: Mohamad Zalghout, Ayman Khalil, Matthieu Crussiere, Jean-François Hélard, Samih Abdul-Nabi
Přispěvatelé: Institut d'Électronique et des Technologies du numéRique (IETR), Nantes Université (NU)-Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS), Université de Nantes (UN)-Université de Rennes 1 (UR1), Institut d'Electronique et de Télécommunications de Rennes ( IETR ), Université de Nantes ( UN ) -Université de Rennes 1 ( UR1 ), Université de Rennes ( UNIV-RENNES ) -Université de Rennes ( UNIV-RENNES ) -Institut National des Sciences Appliquées - Rennes ( INSA Rennes ) -CentraleSupélec-Centre National de la Recherche Scientifique ( CNRS ), Université de Nantes (UN)-Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)
Jazyk: angličtina
Rok vydání: 2017
Předmět:
Zdroj: 86th IEEE Vehicular Technology Conference (VTC-Fall)
86th IEEE Vehicular Technology Conference (VTC-Fall), Sep 2017, Toronto, Canada
VTC-Fall
86th IEEE Vehicular Technology Conference (VTC-Fall), Sep 2017, Toronto, Canada. IEEE, 86th IEEE Vehicular Technology Conference (VTC-Fall), 2017
Popis: International audience; Wireless heterogeneous networks are usually characterized by the integration of different types of radio access technologies (RATs) to enhance system capacity and meet user requirements. In this context, we formulate a user association and downlink resource allocation optimization problem to maximize the overall user-centric profit in the system. The context-awareness is based on the user preferences, the data rate requested by each user equipment (UE), and the RAT characteristics and constraints. The user preference is based on a normalized weighted profit function that considers both the received signal quality and the power consumption at UEs. To approximate the formulated optimization problem, a greedy heuristic algorithm with polynomial-time complexity is proposed. It is shown through persuasive simulations that the proposed heuristic algorithm, when compared to the trivial profit-function-based solution, enhances the average user satisfaction in the system and lowers the percentage of blocked data rate. In fact, the performance of the proposed heuristic algorithm comes close to the optimal solution while requesting a lower number of handovers (HOs).
Databáze: OpenAIRE