NDLI: Energy-adaptive Pulse Amplitude Modulation for IR-UWB Communications Under Renewable Energy

Content Provider	Springer Nature Link
Author	Zhao, Dong Chen, Junlin Wang, Lei
Copyright Year	2013
Abstract	Impulse Radio Ultra-wideband (IR-UWB) technique has long been recognized for its unique carrierless operation as compared with other communication techniques. The simple and low-cost structure offers great advantages for self-powered embedded wireless systems, in which energy efficiency is a challenging issue due to the fact that most renewable energy sources only offer limited and unstable power supply. In this paper, we present an energy-adaptive Pulse Amplitude Modulation technique for self-powered IR-UWB based communication systems to improve data rate and or time coverage. The basic idea is derived from the fact that domain-specific information in such applications are often available; thus, by jointly exploiting the wireless channel conditions and the non-deterministic characteristics of renewable energy sources, the proposed technique dynamically adjusts the modulation level to enhance the sustainable operation under the unreliable energy supply. Simulation results demonstrate that the proposed technique achieves a much higher data rate and better time coverage than conventional UWB systems. The proposed technique is also insensitive to many practical issues such as the battery aging effect.
Starting Page	121
Ending Page	132
Page Count	12
File Format	PDF
ISSN	19398018
Journal	Journal of Signal Processing Systems
Volume Number	76
Issue Number	2
e-ISSN	19398115
Language	English
Publisher	Springer US
Publisher Date	2013-10-01
Publisher Place	Boston
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Renewable energy IR-UWB PAM WBAN Transmitter Signal, Image and Speech Processing Circuits and Systems Electrical Engineering Image Processing and Computer Vision Pattern Recognition Computer Imaging, Vision, Pattern Recognition and Graphics
Content Type	Text
Resource Type	Article
Subject	Theoretical Computer Science Signal Processing Control and Systems Engineering Information Systems Modeling and Simulation Hardware and Architecture

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