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Content Provider | IEEE Xplore Digital Library |
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Author | Long Zhang Lingwu Yuan Zebing Feng Zhiyong Feng |
Copyright Year | 2013 |
Description | Author affiliation: Key Lab. of Universal Wireless Commun., Beijing Univ. of Posts & Telecommun., Beijing, China (Long Zhang; Lingwu Yuan; Zebing Feng; Zhiyong Feng) |
Abstract | To utilize TV white space (TVWS), mutual interference should be restrained to guarantee both TV and secondary systems normal operation. Introducing guard bands is a feasible solution and it naturally constrains the available resources in TVWS. In this paper, we investigate the available spectrum resource distribution under aggregate interference constraints within the TV coverage. A statistical approach is brought up to analyze the mutual interference and based on that, available resource determination is formulated as an optimization problem. In terms of its non-polynomial time complexity, we put forward the near-optimal spectrum resource retreat algorithm (SRRA) to solve this problem. Simulation results verify the accuracy of SRRA and prove that our proposed statistical model matches the actual scenario closely. And we find that the spectrum resource distribution consists of a series of resource contours (RCs) within coverage of TV transmitter and available resources can reach the upper bound at certain RC, which can guide secondary systems for better usage of TVWS. |
Starting Page | 2743 |
Ending Page | 2747 |
File Size | 328039 |
Page Count | 5 |
File Format | |
ISBN | 9781467362351 |
ISSN | 21669570 |
DOI | 10.1109/PIMRC.2013.6666613 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2013-09-08 |
Publisher Place | UK |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | TV Interference Transmitters Resource management White spaces Aggregates TV receivers resource contour TV white space cognitive radio mutual interference available resource distribution |
Content Type | Text |
Resource Type | Article |
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