DocumentCode
2127240
Title
A stochastic geometry approach to transmission capacity in wireless cooperative networks
Author
Sheng, Zhengguo ; Goeckel, D.L. ; Leung, Kin K. ; Ding, Zhiguo
Author_Institution
Dept. of Electr. & Electron. Eng., Imperial Coll., London, UK
fYear
2009
fDate
13-16 Sept. 2009
Firstpage
622
Lastpage
626
Abstract
In this paper, we employ a stochastic geometry model to analyze transmission capacity in wireless cooperative networks. Assuming that simultaneous transmitters are randomly located in space according to Poisson point process with density ¿, we develop the bound performances on outage probability and outage capacity for both direct transmission and Decode-and-Forward (DAF) cooperative scheme. Due to the nature of multipath propagation of cooperative transmission, we define regional capacity as the multiplied product of average density of successful simultaneous transmissions, achieved outage capacity and transmission distance. It shows that the regional capacity for cooperative transmission scales as ¿(¿(¿)), which is the same as the transport capacity for wireless network. Furthermore, Monte Carlo simulations demonstrate the significant improvement on the transmission capacity by using cooperative transmission.
Keywords
radio networks; stochastic processes; Poisson point process; average density; decode-and-forward cooperative scheme; multipath propagation; outage capacity; outage probability; regional capacity; stochastic geometry model; transmission capacity; wireless cooperative networks; Decoding; Information geometry; Interference; Solid modeling; Stochastic processes; Stochastic systems; Telecommunication network reliability; Transmitters; Transmitting antennas; Wireless networks;
fLanguage
English
Publisher
ieee
Conference_Titel
Personal, Indoor and Mobile Radio Communications, 2009 IEEE 20th International Symposium on
Conference_Location
Tokyo
Print_ISBN
978-1-4244-5122-7
Electronic_ISBN
978-1-4244-5123-4
Type
conf
DOI
10.1109/PIMRC.2009.5449858
Filename
5449858
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