|Table of Contents|

[1] Xu YanliXia Weiwei, Shen Lianfeng,. Relay selection region and system performance analysisfor interfered cooperative ad-hoc networks [J]. Journal of Southeast University (English Edition), 2012, 28 (1): 8-13. [doi:10.3969/j.issn.1003-7985.2012.01.002]
Copy

Relay selection region and system performance analysisfor interfered cooperative ad-hoc networks()
Share:

Journal of Southeast University (English Edition)[ISSN:1003-7985/CN:32-1325/N]

Volumn:
28
Issue:
2012 1
Page:
8-13
Research Field:
Information and Communication Engineering
Publishing date:
2012-03-30

Info

Title:
Relay selection region and system performance analysisfor interfered cooperative ad-hoc networks
Author(s):
Xu YanliXia Weiwei Shen Lianfeng
National Mobile Communications Research Laboratory, Southeast University, Nanjing 210096, China
Keywords:
cooperation interference relay selection outage probability transmission capacity stochastic geometry analysis
PACS:
TN915
DOI:
10.3969/j.issn.1003-7985.2012.01.002
Abstract:
The performance of interfered cooperative ad-hoc networks is analyzed by stochastic geometry analysis and a selection region of relay is presented. First, assuming that the distribution of nodes in the random network follows the Poisson point process(PPP), a closed-form expression of the outage probability is derived for the best relay selection(BRS)scheme. Secondly, the capacity of the network is presented for this scheme. Finally, a performance factor is defined to evaluate the performance gain obtained from the BRS. By using this factor, a relay selection region is found to guarantee the performance gain from the BRS. The analysis and simulation results show that the performance of the BRS not only depends on the densities of source nodes and relay nodes but also on the factors of networks such as the path loss factor and the decoding threshold. And the BRS has a greater advantage than direct transmission(DT)in hush environments such as the long transmission distances, much interference and the high decoding thresholds.

References:

[1] Bletsas A, Shin H, Win M Z. Cooperative communications with outage-optimal opportunistic relaying [J]. IEEE Transactions on Wireless Communication, 2007, 6(9): 3450-3460.
[2] da Costa D B, Aissa S. Performance analysis of relay selection techniques with clustered fixed-gain relays[J]. IEEE Signal Processing Letters, 2010, 17(2): 201-204.
[3] Michalopoulos D, Karagiannidis G. Performance analysis of single relay selection in Rayleigh fading [J]. IEEE Transactions on Wireless Communications, 2008, 7(10): 3718-3724.
[4] Zhou Q F, Lau F C M, Hau S F. Asymptotic analysis of opportunistic relaying protocols[J]. IEEE Transactions on Wireless Communications, 2009, 8(8): 3915-3920.
[5] Haghighi A A, Navaie K. Outage analysis and diversity-multiplexing tradeoff bounds for opportunistic relaying coded cooperation and distributed space-time coding coded cooperation[J]. IEEE Transactions on Wireless Communications, 2010, 9(5): 1536-1276.
[6] Haenggi M, Andrews J G, Baccelli F, et al. Stochastic geometry and random graphs for the analysis and design of wireless networks[J]. IEEE Journal on Selected Area in Communications, 2009, 27(9):1029-1046.
[7] Ye S, Blum R S. On the rate regions for wireless MIMO ad hoc networks [C]//Proc of IEEE Vehicle Technology Conference. Los Angeles, CA, USA, 2004:1648-1652.
[8] Hunter A M, Andrews J G, Weber S. Transmission capacity of ad hoc networks with spatial diversity[J]. IEEE Transactions on Wireless Communications, 2008, 7(12): 5058-5071.
[9] Sheng Z, Goeckel D L, Leung K K, et al. A stochastic geometry approach to transmission capacity in wireless cooperative networks [C]//Proc of IEEE International Symposium on Personal, Indoor and Mobile Radio Communications. Tokyo, Japan, 2009:622-626.
[10] Li D, Yin C, Chen C, et al. A selection region based routing protocol for random mobile ad hoc networks [C]//IEEE GLOBECOM 2010 Workshop on Heterogeneous, Multi-Hop, Wireless and Mobile Networks. Miami, FL, USA, 2010:104-108.
[11] Weber S, Andrews J. An overview of the transmission capacity of wireless networks[J]. IEEE Transactions on Communications, 2010, 58(12): 3593-3604.
[12] Stoyan D, Kendall W S, Mecke J. Stochastic geometry and its applications [M]. 2nd ed. Wiley, 1995.
[13] Weber S, Andrews J, Jindal N. Transmission capacity: applying stochastic geometry to uncoordinated ad hoc networks[EB/OL].(2008-08)[2011-09-30]. http://arxiv.org.
[14] Mordachev V, Loyka S. On node density-outage probability tradeoff in wireless networks[J]. IEEE Journal on Selected Area in Communications, 2009, 27(9): 1120-1131.
[15] Stamatiou K, Rossetto F, Haenggi M, et al. A delay-minimizing routing strategy for wireless multihop networks [C]//2009 Workshop on Spatial Stochastic Models for Wireless Networks(SpaSWiN’09). Seoul, South Korea, 2009:1-6.
[16] Gupta P, Kumar P R. The capacity of wireless networks [J]. IEEE Transactions on Information Theory, 2000, 46(2):388-404.

Memo

Memo:
Biographies: Xu Yanli(1984—), female, graduate; Shen Lianfeng(corresponding author), male, professor, lfshen@seu.edu.cn.
Foundation items: The National Science and Technology Major Project(No.2011ZX03005-004-03), the National Natural Science Foundation of China(No.61171081), the Science and Technology Support Program of Jiangsu Province(No.BE2011187).
Citation: Xu Yanli, Xia Weiwei, Shen Lianfeng. Relay selection region and system performance analysis for interfered cooperative ad-hoc networks[J].Journal of Southeast University(English Edition), 2012, 28(1):8-13.[doi:10.3969/j.issn.1003-7985.2012.01.002]
Last Update: 2012-03-20