Multimedia content delivery over satellite system is considered as a promising service in the future fifth generation (5G) cellular systems. The aim of this work is to design a low-computational radio resource management (RRM) multicast algorithm, named Near-Optimal Subgroup Solution (NOSS), for efficiently managing multimedia video content delivery over satellite network. The idea is to perform the radio spectrum allocation on a per-group basis, thus splitting all the multicast members into different subgroups according to the experienced channel quality. Simulation results demonstrate that the proposed approach is able to overcome the limitation of the previous techniques proposed in literature in terms of user throughput. As a further result, the proposed NOSS approach resulted to be also efficient in terms of fairness and robust to the long propagation delay of satellite links.

A Low Computational-Cost Subgrouping Multicast Scheme for Emerging 5G-Satellite Networks

ARANITI, Giuseppe;Iera A;MOLINARO, Antonella
2016

Abstract

Multimedia content delivery over satellite system is considered as a promising service in the future fifth generation (5G) cellular systems. The aim of this work is to design a low-computational radio resource management (RRM) multicast algorithm, named Near-Optimal Subgroup Solution (NOSS), for efficiently managing multimedia video content delivery over satellite network. The idea is to perform the radio spectrum allocation on a per-group basis, thus splitting all the multicast members into different subgroups according to the experienced channel quality. Simulation results demonstrate that the proposed approach is able to overcome the limitation of the previous techniques proposed in literature in terms of user throughput. As a further result, the proposed NOSS approach resulted to be also efficient in terms of fairness and robust to the long propagation delay of satellite links.
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/20.500.12318/17627
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