DocumentCode
3037340
Title
Signaling With Imperfect Channel State Information: A Battery Power Efficiency Comparison
Author
Qu, Fengzhong ; Duan, Dongliang ; Yang, Liuqing ; Swami, Ananthram
Author_Institution
Department of ECE, University of Florida, Gainesville, FL 32611. jimqufz@ufl.edu
fYear
2007
fDate
29-31 Oct. 2007
Firstpage
1
Lastpage
7
Abstract
Due to complexity considerations, pulse-based modulations such as pulse position modulation (PPM) and on-off keying (OOK) are well suited for wireless sensor networks (WSNs) since they provide the possibility of carrier-less signaling and, more importantly, non-coherent reception bypassing channel estimation at the receiver. In this paper, we compare PPM and OOK in terms of their battery power efficiencies (BPE), using a nonlinear battery model, and under the same bandwidth efficiency and cutoff rate constraints. Cutoff rate is employed as our comparison criterion because it leads to a tractable analysis that is often impossible through direct evaluation of random coding exponent or capacity. In addition, cutoff rate gives a universal expression for both coherent and non-coherent detection by simply setting different channel state information (CSI) qualities. Our system model integrates typical WSN transmission and reception modules with realistic nonlinear battery models. Circuit power consumption, DC/DC converter efficiency and power amplifier efficiency are also taken into consideration. Our analytical results characterize the signal-to-noise ratio (SNR) - cutoff rate - CSI region where PPM (OOK) is more power efficient than OOK (PPM). We provide an interpretation in terms of transmission range and symbol set size. Numerical results verify the analysis.
Keywords
Bandwidth; Batteries; Channel estimation; Channel state information; Circuits; DC-DC power converters; Energy consumption; Power system modeling; Pulse modulation; Wireless sensor networks;
fLanguage
English
Publisher
ieee
Conference_Titel
Military Communications Conference, 2007. MILCOM 2007. IEEE
Conference_Location
Orlando, FL, USA
Print_ISBN
978-1-4244-1513-7
Electronic_ISBN
978-1-4244-1513-7
Type
conf
DOI
10.1109/MILCOM.2007.4454910
Filename
4454910
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