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Efficient spectrum management among spectrum sharing UMTS operators

Efficient spectrum management among spectrum sharing UMTS operators

Arshad, Kamran and Moessner, Klaus (2011) Efficient spectrum management among spectrum sharing UMTS operators. In: 2011 IEEE 73rd Vehicular Technology Conference Proceedings. Institute of Electrical and Electronics Engineers, Inc., Piscataway, NJ, USA. ISBN 9781424483327 ISSN 1550-2252 (doi:10.1109/VETECS.2011.5956619)

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Abstract

Dynamic spectrum management is a promising solution for network operators to efficiently utilise the limited radio spectrum and guarantee operator's profit by increasing capacity as well as generating more spectrum opportunities for opportunistic use. This paper presents a novel algorithm for efficient spectrum management to optimise spectrum utilisation between two sharing UMTS cellular operators. It is shown that proposed solution approach increases revenue of sharing operators without sacrificing the quality of service on either network. A multioperator UMTS simulation tool is also developed to evaluate the performance of proposed algorithm. The simulation results show that the proposed algorithm achieves high efficiency of spectrum utilisation and gains up to 33% can be achieved for both uniform and non-uniform distribution of traffic.

Item Type: Conference Proceedings
Title of Proceedings: 2011 IEEE 73rd Vehicular Technology Conference Proceedings
Additional Information: [1] This paper was first presented at the 2011 IEEE 73rd Vehicular Technology Conference (VTC Spring) held from 15-18 May 2011 in Budapest, Hungary.
Uncontrolled Keywords: cellular radio, radio spectrum management, telecommunication traffic, UMTS cellular operators, dynamic spectrum management, limited radio spectrum, multioperator UMTS simulation tool, network operators, quality of service, spectrum opportunities, spectrum sharing UMTS operators, spectrum utilisation, 3G mobile communication, dynamic scheduling, heuristic algorithms, optimized production technology, prediction algorithms, resource management
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Pre-2014 Departments: School of Engineering
School of Engineering > Mobile & Wireless Communications Research Laboratory
Related URLs:
Last Modified: 14 Oct 2016 09:27
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
URI: http://gala.gre.ac.uk/id/eprint/11303

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