DocumentCode :
1171106
Title :
Adaptive spectrum assessment for opportunistic access in cognitive radio networks
Author :
Hamdaoui, Bechir
Author_Institution :
Sch. of EECS, Oregon State Univ., Corvallis, OR
Volume :
8
Issue :
2
fYear :
2009
Firstpage :
922
Lastpage :
930
Abstract :
Studies showed that the static nature of the traditional spectrum allocation methods, currently being used to share the radio spectrum, resulted in a plenty of unused spectrum opportunities that wireless devices can still potentially exploit. Fortunately, recent technological advances enabled software-defined radios (SDRs) that can switch from one spectrum band (SB) to another at minimum cost, thereby promoting dynamic and adaptive spectrum access and sharing. In this paper, we derive and study an adaptive spectrum assessment approach that allows devices to decide how to seek spectrum opportunities effectively. In the event when a decision is made in favor of discovering new opportunities, the proposed approach allows devices to determine the optimal number of SBs to be explored so that the device benefits from such an opportunistic spectrum access. This approach is optimal in that it strikes a balance between two conflicting needs: keeping spectrum assessment overhead low while increasing the likelihood of discovering spectrum opportunities. We study the effect of several network parameters, such as the primary traffic load, the secondary traffic load, and the collaboration level of the sensing method, on the optimal number of SBs that devices need to explore.
Keywords :
cognitive radio; radio access networks; software radio; telecommunication traffic; adaptive spectrum access; adaptive spectrum sharing; cognitive radio networks; opportunistic access; primary traffic load; secondary traffic load; sensing method; software-defined radios; spectrum band; traditional spectrum allocation methods; Cognitive radio; Collaboration; Costs; Explosives; FCC; Helium; Interference; Protection; Switches; Telecommunication traffic; Adaptive spectrum assessment; cognitive radio networks; opportunistic spectrum access; software-defined radios;
fLanguage :
English
Journal_Title :
Wireless Communications, IEEE Transactions on
Publisher :
ieee
ISSN :
1536-1276
Type :
jour
DOI :
10.1109/TWC.2009.071434
Filename :
4786454
Link To Document :
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