Please use this identifier to cite or link to this item: http://localhost/handle/Hannan/582684
Title: Energy&x2013;Spectral Efficiency Tradeoff in Cognitive Radio Networks
Authors: Wensheng Zhang;Cheng-Xiang Wang;Di Chen;Hailiang Xiong
subject: energy-spectral efficiency tradeoff|Cognitive radio networks|energy efficiency|spectral efficiency
Year: 2016
Publisher: IEEE
Abstract: In this paper, we propose a general framework to evaluate the tradeoff between energy efficiency (EE) and spectral efficiency (SE) in cognitive radio networks (CRNs). The proposed framework is discussed in three typical CRN paradigms: underlay CRNs (UCRNs), overlay CRNs (OCRNs), and interweave CRNs (ICRNs). The EE-SE relation for three CRNs is expressed in the closed-form formulation, in which the optimal (suboptimal) EE solution as the function of SE is deduced with the corresponding limits. The theoretical analysis and numerical results indicate that the EE-SE relation in CRNs is not contrary, i.e., an optimal EE-SE tradeoff can be achieved. The proposed framework provides a useful guidance in the design of practical green CRNs.
URI: http://localhost/handle/Hannan/171285
http://localhost/handle/Hannan/582684
ISSN: 0018-9545
1939-9359
volume: 65
issue: 4
Appears in Collections:2016

Files in This Item:
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Title: Energy&x2013;Spectral Efficiency Tradeoff in Cognitive Radio Networks
Authors: Wensheng Zhang;Cheng-Xiang Wang;Di Chen;Hailiang Xiong
subject: energy-spectral efficiency tradeoff|Cognitive radio networks|energy efficiency|spectral efficiency
Year: 2016
Publisher: IEEE
Abstract: In this paper, we propose a general framework to evaluate the tradeoff between energy efficiency (EE) and spectral efficiency (SE) in cognitive radio networks (CRNs). The proposed framework is discussed in three typical CRN paradigms: underlay CRNs (UCRNs), overlay CRNs (OCRNs), and interweave CRNs (ICRNs). The EE-SE relation for three CRNs is expressed in the closed-form formulation, in which the optimal (suboptimal) EE solution as the function of SE is deduced with the corresponding limits. The theoretical analysis and numerical results indicate that the EE-SE relation in CRNs is not contrary, i.e., an optimal EE-SE tradeoff can be achieved. The proposed framework provides a useful guidance in the design of practical green CRNs.
URI: http://localhost/handle/Hannan/171285
http://localhost/handle/Hannan/582684
ISSN: 0018-9545
1939-9359
volume: 65
issue: 4
Appears in Collections:2016

Files in This Item:
File Description SizeFormat 
7105957.pdf682.56 kBAdobe PDFThumbnail
Preview File
Title: Energy&x2013;Spectral Efficiency Tradeoff in Cognitive Radio Networks
Authors: Wensheng Zhang;Cheng-Xiang Wang;Di Chen;Hailiang Xiong
subject: energy-spectral efficiency tradeoff|Cognitive radio networks|energy efficiency|spectral efficiency
Year: 2016
Publisher: IEEE
Abstract: In this paper, we propose a general framework to evaluate the tradeoff between energy efficiency (EE) and spectral efficiency (SE) in cognitive radio networks (CRNs). The proposed framework is discussed in three typical CRN paradigms: underlay CRNs (UCRNs), overlay CRNs (OCRNs), and interweave CRNs (ICRNs). The EE-SE relation for three CRNs is expressed in the closed-form formulation, in which the optimal (suboptimal) EE solution as the function of SE is deduced with the corresponding limits. The theoretical analysis and numerical results indicate that the EE-SE relation in CRNs is not contrary, i.e., an optimal EE-SE tradeoff can be achieved. The proposed framework provides a useful guidance in the design of practical green CRNs.
URI: http://localhost/handle/Hannan/171285
http://localhost/handle/Hannan/582684
ISSN: 0018-9545
1939-9359
volume: 65
issue: 4
Appears in Collections:2016

Files in This Item:
File Description SizeFormat 
7105957.pdf682.56 kBAdobe PDFThumbnail
Preview File