DocumentCode :
1675850
Title :
SNR-per-unit-power optimization in relay networks
Author :
Yichen Hao ; Yindi Jing ; Shahbazpanahi, Shahram
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Alberta, Edmonton, AB, Canada
fYear :
2013
Firstpage :
4953
Lastpage :
4957
Abstract :
In this paper, we adopt a novel efficiency measure, namely, the received signal to noise ratio (SNR) per unit power, in relay network design. First, limitations of conventional efficiency measures, spectral efficiency and energy efficiency, are discussed to motivate the SNR-per-unit-power (SNR-PUP) measure. Then for a single-relay network which uses amplify-and-forward (AF) protocol, we find the optimal relay power that maximizes the SNR-PUP for a given transmitter power. The average relay power, the SNR-PUP, and the outage probability of the proposed design are investigated analytically and numerically, and are compared with the conventional design where the relay power is fixed. We also consider a general multi-relay network and use gradient-ascent method for the SNR-PUP maximization. Our results show that with the same average relay transmit power, the proposed design is superior not only in the SNR-PUP but also in the outage probability for both single and multi-relay networks.
Keywords :
amplify and forward communication; gradient methods; relay networks (telecommunication); telecommunication network reliability; telecommunication power management; SNR per unit power optimization; SNR-PUP maximization; amplify and forward protocol; efficiency measure; energy efficiency; gradient ascent method; multirelay network; outage probability; spectral efficiency; Approximation methods; Optimization; Relays; Signal to noise ratio; Transmitters; Wireless communication; Relay network; SNR-per-unit-power; efficiency; outage probability;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech and Signal Processing (ICASSP), 2013 IEEE International Conference on
Conference_Location :
Vancouver, BC
ISSN :
1520-6149
Type :
conf
DOI :
10.1109/ICASSP.2013.6638603
Filename :
6638603
Link To Document :
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