NDLI: Energy efficiency optimization of one-way and two-way DF relaying considering circuit power

Content Provider	Springer Nature Link
Author	Chinaei, Mohammad Hossein Omidi, Mohammad Javad Kazemi, Jafar Tabataba, Foroogh Sadat
Copyright Year	2015
Abstract	In this paper, the energy efficiency (EE) of a decode and forward (DF) relay system is studied, where two sources communicate through a half-duplex relay node in one-way and two-way relaying strategies. Both the circuitry power and the transmission power of all nodes are taken into consideration. In addition, three different coding schemes for two-way DF relaying strategy with two phases and two-way DF relaying with three phases are considered. The aim is to maximize the EE of the system for a constant spectral efficiency (SE). For this purpose, the transmission time and the transmission power of each node are optimized. Simulations are used to compare the EE–SE curve of different DF strategies with one-way and two-way amplify and forward (AF) strategies and direct transmission (DT), to find the best energy efficient strategy in different SE conditions. Analytical and simulation results demonstrate that in low SE conditions, DF relaying strategies are more energy efficient compared to that of AF strategies and DT. However, in high SE conditions, the EE of two-way AF relaying and DT strategy outperform some of the DF relaying strategies. In simulations, the impact of different circuitry power and different channel conditions on the EE–SE curves are also investigated.
Starting Page	367
Ending Page	381
Page Count	15
File Format	PDF
ISSN	10220038
Journal	Wireless Networks
Volume Number	22
Issue Number	2
e-ISSN	15728196
Language	English
Publisher	Springer US
Publisher Date	2015-05-26
Publisher Place	New York
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Energy efficiency Optimization Decode-and-forward Two-way relaying Circuit power Communications Engineering, Networks Computer Communication Networks Electrical Engineering IT in Business
Content Type	Text
Resource Type	Article
Subject	Computer Networks and Communications Information Systems Electrical and Electronic Engineering

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