NDLI: Wireless Sensor based Dynamic Channel Selection in Cellular Communication by Cognitive Radio Approach

Content Provider	IEEE Xplore Digital Library
Author	Banerjee, T. Ghosh, C. Agrawal, D.P.
Copyright Year	2006
Description	Author affiliation: OBR Center for Distributed & Mobile Comput., Cincinnati Univ., OH (Banerjee, T.; Ghosh, C.; Agrawal, D.P.)
Abstract	In a cellular communication scenario, wireless sensors can be deployed to sense the interference power of the frequency band. In an ideal channel, interference temperature (IT) which is directly proportional to the interference power can be assumed to vary spatially with the frequency of the sub channel. We propose a scheme for approximating ITs over an extended C-band (licensed and unused television band) by fitting sub channel frequencies and corresponding ITs to a regression model. Using this model, IT of a random sub channel can be calculated by the base station (BS) for further analysis of the channel interference. Our proposed model based on readings reported by sensors helps in dynamic channel selection (S-DCS) in extended C-band for assignment to unlicensed secondary users. S-DCS maximizes channel utilization and proves to be economic from energy consumption point of view. It also exhibits substantial amount of accuracy with error bound within 6.8%. Again, users are assigned empty sub channels without actually probing them, incurring minimum delay in the process. Overall channel allocation efficiency is also maximized along with fairness to individual users
Starting Page	1
Ending Page	5
File Size	5768162
Page Count	5
File Format	PDF
ISBN	1424403804
DOI	10.1109/CROWNCOM.2006.363466
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-06-08
Publisher Place	Greece
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Base stations Energy consumption TV WFQ Interference Power generation economics Cognitive radio interference temperature Wireless communication Temperature sensors Wireless sensor networks cognitive radio regression Frequency channel allocation
Content Type	Text
Resource Type	Article

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