DocumentCode :
149013
Title :
Opportunistic spectrum sharing for wireless virtualization
Author :
Mao Yang ; Yong Li ; Jiaqiang Liu ; Depeng Jin ; Jian Yuan ; Lieguang Zeng
Author_Institution :
Dept. of Electron. Eng., Tsinghua Univ., Beijing, China
fYear :
2014
fDate :
6-9 April 2014
Firstpage :
1803
Lastpage :
1808
Abstract :
Wireless Virtualization enables multiple concurrent virtual networks running on shared wireless substrate resource, which makes networks more flexible, efficient and customizable. Efficiently allocating physical wireless spectrum to multiple virtual networks to enhance the resource utilization is a fundamental challenge. Different from previous works focusing on only one physical wireless network, we study the problem under the multiple physical networks scenario, which makes the problem more general and practical. Furthermore, after analyzing the fluctuation feature in wireless virtualization, we introduce an opportunistic spectrum sharing method to increase spectrum allocation efficiency. First, we formulate the problem of opportunistic spectrum sharing with multiple physical wireless networks and prove it as an NP-Hard problem. Then, we propose a genetic algorithm and heuristic algorithm to solve the problem. Simulations show that opportunistic spectrum sharing conspicuously improves the performance of spectrum utilization and confirm the advantage of our proposed algorithms.
Keywords :
genetic algorithms; radio spectrum management; virtualisation; NP-Hard problem; genetic algorithm; heuristic algorithm; opportunistic spectrum sharing; resource utilization; shared wireless substrate resource; spectrum allocation efficiency; wireless virtualization; Algorithm design and analysis; Genetic algorithms; Heuristic algorithms; Resource management; Virtualization; Wireless networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Wireless Communications and Networking Conference (WCNC), 2014 IEEE
Conference_Location :
Istanbul
Type :
conf
DOI :
10.1109/WCNC.2014.6952523
Filename :
6952523
Link To Document :
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