Please use this identifier to cite or link to this item: https://hdl.handle.net/11000/3990

Integer Linear Programming Optimization of Joint RRM Policies for Heterogeneous Wireless Systems


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Title:
Integer Linear Programming Optimization of Joint RRM Policies for Heterogeneous Wireless Systems
Authors:
Lucas Estañ, María del Carmen
Gozálvez Sempere, Javier
Sánchez Soriano, Joaquín
Department:
Departamentos de la UMH::Ingeniería de Comunicaciones
Issue Date:
2011-09-03
Abstract:
Wireless systems will be characterized by the coexistence of heterogeneous Radio Access Technologies (RATs) with different, but also complementary, performance and technical characteristics. These heterogeneous wireless networks will provide network operators the possibility to efficiently and coordinately use the heterogeneous radio resources, for which novel Joint Radio Resource Management (JRRM) policies need to be designed. In this context, this work proposes and evaluates a JRRM policy that simultaneously determines for each user an adequate combination of RAT and number of radio resources within such RAT to guarantee the user/service QoS requirements, and efficiently distribute the radio resources considering a user fairness approach aimed at maximizing the system capacity. To this aim, the JRRM algorithm, which takes into account the discrete nature of radio resources, is based on integer linear programming optimization mechanisms.
Keywords/Subjects:
Joint Radio Resource Management, heterogeneous wireless systems, integer linear programming, multimedia
Type of document:
application/pdf
Access rights:
info:eu-repo/semantics/openAccess
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