Title
Wireless information and power transfer in two-way amplify-and-forward relaying channels
Abstract
Various wireless networks have made the ambient radio frequency signals around the world. Wireless information and power transfer (WIPT) enables the devices to recycle energy from these ambient radio frequency signals and process information simultaneously. In this paper, we develop a WIPT protocol in two-way amplify-and-forward relaying channels, where two sources exchange information via an energy harvesting relay node. The relay node collects energy from the received signal and uses it as the transmission power to forward the received signal. We analytically derive the exact expressions of the outage probability, the ergodic capacity and the finite-SNR diversity-multiplexing trade-off (DMT). Furthermore, the tight closed-form upper and lower bounds of the outage probability and the ergodic capacity are then developed. Moreover, the impact of the power splitting ratio is also evaluated and analyzed. Finally, we show that compared to the non-cooperative relaying scheme, the proposed protocol is a green solution to offer higher transmission rate and more reliable communication without consuming additional resource.
Year
DOI
Venue
2013
10.1109/GlobalSIP.2014.7032100
GlobalSIP
Keywords
DocType
Volume
wipt protocol,relay networks (telecommunication),closed-form upper bounds,protocols,radiofrequency power transmission,diversity reception,finite-snr diversity-multiplexing trade-off,wireless information and power transfer,multiplexing,inductive power transmission,energy harvesting relay node,wireless networks,dmt,power splitting ratio,energy harvesting,ergodic capacity,outage probability,lower bounds,radio frequency signals,noncooperative relaying scheme,transmission rate,amplify and forward communication,probability,two-way amplify-and-forward relaying channels,ad hoc networks,silicon,signal processing,wireless communication
Journal
abs/1307.7447
Citations 
PageRank 
References 
69
2.24
11
Authors
4
Name
Order
Citations
PageRank
Zhiyong Chen137132.33
Biao Wang2704.97
Bin Xia330629.59
Hui Liu41473111.63