DocumentCode
604511
Title
Outage probability and power allocation for MIMO AF two-way relaying over Rician fading
Author
Zhangjun Fan ; Daoxing Guo ; Bangning Zhang ; Han Zhang
Author_Institution
Inst. of Commun. Eng., PLA Univ. of Sci. & Technol., Nanjing, China
fYear
2012
fDate
29-31 Dec. 2012
Firstpage
1723
Lastpage
1727
Abstract
In this paper, we analyze the outage performance of MIMO AF two-way relaying system over Rician fading channels. Specially, all nodes in the system are mounted with multiple antennas, and a joint transmit/receive antenna selection scheme is employed. First, we derive an approximated outage probability expression, which matches the simulated outage probability quite well from medium to high SNR region. For the purpose of revealing the system diversity order, the asymptotic outage probability expression is also derived. To minimize the outage probability, we then proposed a power allocation scheme by using the Newton´s method. Finally, Monte Carlo simulation results are presented to verify the analytical results. The simulation results also prove that the proposed power allocation scheme outperforms equal power allocation scheme.
Keywords
MIMO communication; Monte Carlo methods; Newton method; Rician channels; antenna arrays; diversity reception; receiving antennas; relay networks (telecommunication); transmitting antennas; MIMO AF two-way relaying system; Monte Carlo simulation; Newton method; Rician fading channels; SNR region; approximated outage probability expression; asymptotic outage probability expression; joint transmit-receive antenna selection scheme; multiple-antennas; power allocation scheme; simulated outage probability; system diversity order; amplify-and-forward (AF); multi-input multi-output (MIMO); outage probability; power allocation; two-way relaying;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Science and Network Technology (ICCSNT), 2012 2nd International Conference on
Conference_Location
Changchun
Print_ISBN
978-1-4673-2963-7
Type
conf
DOI
10.1109/ICCSNT.2012.6526253
Filename
6526253
Link To Document