DocumentCode :
659763
Title :
A Guard-Band-Aware Channel Allocation Algorithm for Multi-Channel Cognitive Radio Networks
Author :
Lingwu Yuan ; Zebing Feng ; Zhiyong Feng ; Qixun Zhang ; Baoling Liu
Author_Institution :
Key Lab. of Universal Wireless Commun., Beijing Univ. of Posts & Telecommun., Beijing, China
fYear :
2013
fDate :
2-5 Sept. 2013
Firstpage :
1
Lastpage :
5
Abstract :
We consider the problem of channel allocation in cognitive radio network (CRN) with the restraints for adjacent-channel interference (ACI) caused by CRN, which is significant in the existing communication system and is easily ignored by researchers. In order to mitigate the effects of the adjacent-channel interference, it is a convenient way to use guard bands in CRN, when cognitive radio (CR) users dynamically exploit the idle spectrum owned by the primary user (PU). This paper focuses on a joint power control and channel assignment in a multi-channel CRN which realizes the use of spectrum effectively under the interference restrictions. Moreover, there are two important aspects of this guard bands method, which are the difference of primary networks and the operational mechanism of CRN, that we take into account. Since the optimization problem is, in general, NP-hard, we apply the coloring theory to reduce the complexity while providing the near-optimal performance. Finally, simulation results are provided, and the detailed numerical results are analyzed.
Keywords :
channel allocation; cochannel interference; cognitive radio; computational complexity; graph colouring; optimisation; ACI; NP-hard problem; adjacent channel interference; assignment in; coloring theory; guard band aware channel allocation algorithm; guard bands method; interference restriction; multichannel CRN; multichannel cognitive radio network; power control; primary user; Channel allocation; Cognitive radio; Color; Frequency modulation; Interference; Nickel; Resource management;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Vehicular Technology Conference (VTC Fall), 2013 IEEE 78th
Conference_Location :
Las Vegas, NV
ISSN :
1090-3038
Type :
conf
DOI :
10.1109/VTCFall.2013.6692037
Filename :
6692037
Link To Document :
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