Fitness Landscape Analysis for Scalable Multicast RRM Problem in Cellular Network

Qing Xu (1) , Frédéric Lassabe (1) , Hakim Mabed (2) , Alexandre Caminada (1)

1 IRTES - LERMPS - Laboratoire d'Études et de Recherches sur les Matériaux, les Procédés et les Surfaces
2 FEMTO-ST - Franche-Comté Électronique Mécanique, Thermique et Optique - Sciences et Technologies (UMR 6174)

This paper aims to solve the Radio Resource Management (RRM) problem for Multimedia Broadcast Multicast Service (MBMS) system in cellular network. We develop a flexible model to perform dynamic radio resource allocation for MBMS service by using metaheuristic approach. We conduct fitness landscape analysis to study the characteristics of the proposed model, which helps us to select appropriate search strategy. Simulation results show that the proposed algorithm provides better performance than existing algorithms. Keywords: fitness landscape, metaheuristic approach, multimedia multicast, radio resource management.

Domaines: Modélisation et simulation; Réseaux et télécommunications [cs.NI]; Informatique mobile

Qing Xu, Frédéric Lassabe, Hakim Mabed, Alexandre Caminada. Fitness Landscape Analysis for Scalable Multicast RRM Problem in Cellular Network. INOC 2013, Int. Network Optimization Conf., Jan 2013, Spain. pp.407 - 414. ⟨hal-00956237⟩