Integer linear programming optimization of joint RRM policies for heterogeneous wireless systems
| Autor: | Joaquín Sánchez-Soriano, Javier Gozalvez, M. C. Lucas-Estañ |
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| Rok vydání: | 2012 |
| Předmět: |
Service (systems architecture)
Computer Networks and Communications Computer science business.industry Wireless network Quality of service Distributed computing ComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKS Context (language use) Cognitive radio Radio resource management Joint (audio engineering) business Integer programming Computer network |
| Zdroj: | Computer Networks. 56:112-126 |
| ISSN: | 1389-1286 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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