DocumentCode
2934267
Title
A Channel Statistic Based Power Allocation in a Butterfly Wireless Network with Network Coding
Author
Zhan, Ao ; He, Chen ; Jiang, Lingge
Author_Institution
Dept. of Electron. Eng., Shanghai Jiao Tong Univ., Shanghai, China
fYear
2010
fDate
23-27 May 2010
Firstpage
1
Lastpage
5
Abstract
An amplified-and-forward network coded protocol (ANCP) is proved to achieve excellent network performance. In this paper, we first drive the closed-form expression of the system outage probability in the high SNR regime, based on ANCP protocol in a classical butterfly wireless network. However the complex expression is a bottleneck of developing power allocation. Then we approximate the expression with a simplified version and propose power allocation strategies with a closed form, only requiring statistical channel state information (CSI). Finally, it is shown that the closed-form expression almost overlap the curve of the system outage probability by Monte Carlo simulation in the high SNR regime and the simplified version is very close to the simulation curve. Moreover, it is validated that the proposed power allocation strategies achieve a large signal-noise ratio (SNR) gain over the system without power allocation strategies.
Keywords
Monte Carlo methods; channel coding; hypercube networks; network coding; probability; protocols; radio networks; ANCP protocol; Monte Carlo simulation; amplified-and-forward network coded protocol; butterfly wireless network; channel statistic based power allocation; high SNR regime; network coding; network performance; signal-noise ratio gain; statistical channel state information; system outage probability; Additive noise; Closed-form solution; Fading; Network coding; Power system modeling; Probability; Relays; Statistics; Wireless application protocol; Wireless networks;
fLanguage
English
Publisher
ieee
Conference_Titel
Communications Workshops (ICC), 2010 IEEE International Conference on
Conference_Location
Capetown
Print_ISBN
978-1-4244-6824-9
Type
conf
DOI
10.1109/ICCW.2010.5503953
Filename
5503953
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