DocumentCode :
248882
Title :
Cloud-assisted spectrum management system with trading engine
Author :
El-Refaey, Mohamed ; Magdi, Norhan ; Abd El-Megeed, Hazem
Author_Institution :
Intel Labs., Intel Corp., Cairo, Egypt
fYear :
2014
fDate :
4-8 Aug. 2014
Firstpage :
953
Lastpage :
958
Abstract :
The radio spectrum scarcity represents a major challenge for wireless communication systems, this is a result of allocating radio spectrum statically with exclusive assignment policy. Many studies stated that most of the assigned radio spectrum is underutilized. This tight situation was a motive to turn into Dynamic Spectrum Allocation (DSA) and design systems that could handle DSA efficiently. We designed an integrated Cloud Spectrum Management System (CSMS). In this system we introduce a Cloud Spectrum Broker (CSB) that uses geo-location cloud-based database to monitor and share radio spectrum between Primary Users (PUs) and Secondary Users (SUs). The core of CSMS is the trading engine, which is designed to handle requests from competing SUs in an auction-based algorithm. The architecture and vital building blocks of the Cloud Spectrum Management System (CSMS) are discussed in details in this paper.
Keywords :
cloud computing; radio spectrum management; telecommunication computing; Cloud Spectrum Broker; auction-based algorithm; cloud spectrum management system; dynamic spectrum allocation; geo-location cloud-based database; primary users; radio spectrum allocation; radio spectrum scarcity; secondary users; trading engine; wireless communication systems; Algorithm design and analysis; Databases; Engines; Process control; Radio spectrum management; Resource management; Wireless communication; Cloud Spectrum Broker CSB; Cloud Spectrum Services CSS; Cognitive Radio CR; Dynamic Spectrum Access DSA; Licensed Shared Access; Spectrum Management; Spectrum Trading;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Wireless Communications and Mobile Computing Conference (IWCMC), 2014 International
Conference_Location :
Nicosia
Print_ISBN :
978-1-4799-7324-8
Type :
conf
DOI :
10.1109/IWCMC.2014.6906484
Filename :
6906484
Link To Document :
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