Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/139728
Title: Wireless-powered device-to-device communications with ambient backscattering : performance modeling and analysis
Authors: Lu, Xiao
Jiang, Hai
Niyato, Dusit
Kim, Dong In
Han, Zhu
Keywords: Engineering::Computer science and engineering
Issue Date: 2017
Source: Lu, X., Jiang, H., Niyato, D., Kim, D. I., & Han, Z. (2018). Wireless-powered device-to-device communications with ambient backscattering : performance modeling and analysis. IEEE Transactions on Wireless Communications, 17(3), 1528-1544. doi:10.1109/TWC.2017.2779857
Journal: IEEE Transactions on Wireless Communications
Abstract: The recent advanced wireless energy harvesting technology has enabled wireless-powered communications to accommodate wireless data services in a self-sustainable manner. However, wireless-powered communications rely on active RF signals to communicate and result in high power consumption. On the other hand, ambient backscatter technology that passively reflects existing RF signal sources in the air to communicate has the potential to facilitate an implementation with ultra-low power consumption. In this paper, we introduce a hybrid device-to-device (D2D) communication paradigm by integrating ambient backscattering with wireless-powered communications. The hybrid D2D communications are self-sustainable, as no dedicated external power supply is required. However, since the radio signals for energy harvesting and for backscattering come from the ambient, the performance of the hybrid D2D communications depends largely on environment factors, e.g., distribution, spatial density, and transmission load of ambient energy sources. Therefore, we design two mode selection protocols for the hybrid D2D transmitter, allowing a more flexible adaptation to the environment. We then introduce analytical models to characterize the impacts of the considered environment factors on the hybrid D2D communication performance. Together with extensive simulations, our analysis shows that the communication performance benefits from larger repulsion, transmission load, and density of ambient energy sources. Furthermore, we investigate how different mode selection mechanisms affect the communication performance.
URI: https://hdl.handle.net/10356/139728
ISSN: 1536-1276
DOI: 10.1109/TWC.2017.2779857
Schools: School of Computer Science and Engineering 
Rights: © 2017 IEEE. All rights reserved.
Fulltext Permission: none
Fulltext Availability: No Fulltext
Appears in Collections:SCSE Journal Articles

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