DocumentCode :
87604
Title :
Sensing-energy efficiency tradeoff for cognitive radio networks
Author :
Jing Zhang ; Fu-Chun Zheng ; Xi-Qi Gao ; Hong-Bo Zhu
Author_Institution :
Nat. Mobile Commun. Res. Lab., Southeast Univ., Nanjing, China
Volume :
8
Issue :
18
fYear :
2014
fDate :
12 18 2014
Firstpage :
3414
Lastpage :
3423
Abstract :
In this study, the authors focus on the tradeoff between spectrum sensing and energy efficiency of cognitive radio networks (CRN). Considering two interference-avoidance schemes, that is, channel handoff and stop-and-wait, the authors, respectively, model the energy efficiency (EE) of CRN as the mean of the throughput-to-power ratio. Research shows that stop-and-wait scheme is a special case of channel handoff from an EE perspective. Based on the proposed EE model, the authors build up an EE optimisation problem under the constraint of the sensing quality, and formulate the sensing-energy efficiency tradeoff (SET) for CRN. The similarity and difference between the SET and the sensing-throughput tradeoff are also investigated. Simulation analysis confirms that there is indeed an optimal sensing time to make the EE maximum, and it is larger than that for maximum throughput. Another interesting result is that the EE and the throughput of CRN can be enhanced together by optimising MAC frame structure in combination with sensing bandwidth adjustment and power control. Our work provides some insights for green CRN in view of MAC frame optimisation.
Keywords :
cognitive radio; energy conservation; interference suppression; mobility management (mobile radio); optimisation; radio spectrum management; telecommunication power management; EE optimisation problem; MAC frame; SET; channel handoff; cognitive radio networks; green CRN; interference-avoidance schemes; sensing-energy efficiency tradeoff; spectrum sensing; stop-and-wait scheme; throughput-to-power ratio;
fLanguage :
English
Journal_Title :
Communications, IET
Publisher :
iet
ISSN :
1751-8628
Type :
jour
DOI :
10.1049/iet-com.2014.0400
Filename :
6982022
Link To Document :
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