DocumentCode :
2133866
Title :
Effective resource allocation in 5G-satellite networks
Author :
Araniti, G. ; Condoluci, M. ; Orsino, A. ; Iera, A. ; Molinaro, A.
Author_Institution :
ARTS Lab., DIIES Dept., University Mediterranea of Reggio Calabria, Italy
fYear :
2015
fDate :
8-12 June 2015
Firstpage :
844
Lastpage :
849
Abstract :
This paper addresses the radio resource management of multicast transmissions of video streaming services in the emerging 5G-Satellite systems. A subgroup-based approach is used to split any multicast group into subgroups. This allows an effective exploitation of multi-user diversity according to the experienced channel conditions and the achievement of a high throughput level. The main drawback is the high computational cost usually related to the selection of the optimal subgroup configuration. In this paper, we propose a low-complexity subgroup-based algorithm that achieves performance close to optimum. Our solution is suitable for implementation in practical systems, such as Satellite-Long Term Evolution (S-LTE), since the computational cost does not depend on the multicast group size and the number of available resources. Through simulations conducted in different radio propagation and multicast group environments, the effectiveness of our proposed scheme is assessed.
Keywords :
5G mobile communication; Complexity theory; Cost function; Merging; Resource management; Satellite broadcasting; Satellites; 5G; LTE; Multicast; OFDMA; RRM; Satellite;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communications (ICC), 2015 IEEE International Conference on
Conference_Location :
London, United Kingdom
Type :
conf
DOI :
10.1109/ICC.2015.7248427
Filename :
7248427
Link To Document :
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