DocumentCode
2172969
Title
Spectrum sharing in a cellular system
Author
Aazhang, Behnaam ; Lilleberg, Jorma ; Middleton, Gareth
Author_Institution
Rice Univ., Houston, TX, USA
fYear
2004
fDate
30 Aug.-2 Sept. 2004
Firstpage
355
Lastpage
359
Abstract
The cost of long term leasing of spectrum has proven to be a major road block in broad deployment of 3rd generation cellular radio systems. Similar economical road blocks can be predicted for systems beyond 3G. In order to alleviate the burden of spectrum cost incurred by service providers, there must be a paradigm shift from fixed allocations to a more flexible spectrum management. Barring practical implementations, this is indeed a feasible economical solution since the spectrum as a commodity does not depreciate with use. The search for novel spectrum management techniques has been ongoing for a decade or so and has taken many different forms from dynamic channel assignment to dynamic spectrum allocation, software defined radio, and cognitive radio. These different methodologies attack a common problem, efficient spectrum management, with various tools and complexities and have had varying degrees of success. This paper introduces a simple concept of spectrum sharing in a cellular radio system. We propose two protocols to manage spectrum sharing by redistributing excess users to spectrum bands with excess user capacity. We analyze the performance of ideal sharing by evaluating the probability of call block. We also simulate the performance of the two protocols in a realistic cellular environment. Both analyses show great gains in performance when the base-stations decide to share the spectrum as opposed to only assign users to their licensed band.
Keywords
4G mobile communication; cellular radio; probability; protocols; radio spectrum management; telecommunication congestion control; 3rd generation cellular radio systems; beyond-3G systems; call blocking probability; cellular system; excess user capacity; flexible spectrum management; performance; protocols; spectrum sharing; Cognitive radio; Costs; Economic forecasting; Environmental economics; Land mobile radio cellular systems; Performance analysis; Protocols; Radio spectrum management; Roads; Software radio;
fLanguage
English
Publisher
ieee
Conference_Titel
Spread Spectrum Techniques and Applications, 2004 IEEE Eighth International Symposium on
Print_ISBN
0-7803-8408-3
Type
conf
DOI
10.1109/ISSSTA.2004.1371721
Filename
1371721
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