A stochastic geometry approach to transmission capacity in wireless cooperative networks

Zhengguo Sheng; D. L. Goeckel; Kin K. Leung; Zhiguo Ding

doi:10.1109/PIMRC.2009.5449858

A stochastic geometry approach to transmission capacity in wireless cooperative networks

Zhengguo Sheng, D. L. Goeckel, Kin K. Leung, Zhiguo Ding

Electrical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

17 Scopus citations

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 ρ, 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 Θ(√ρ), 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.

Original language	British English
Title of host publication	2009 IEEE 20th Personal, Indoor and Mobile Radio Communications Symposium, PIMRC 2009
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	622-626
Number of pages	5
ISBN (Print)	9781424451234
DOIs	https://doi.org/10.1109/PIMRC.2009.5449858
State	Published - 2009
Event	2009 IEEE 20th Personal, Indoor and Mobile Radio Communications Symposium, PIMRC 2009 - Tokyo, Japan Duration: 13 Sep 2009 → 16 Sep 2009

Publication series

Name	IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC

Conference

Conference	2009 IEEE 20th Personal, Indoor and Mobile Radio Communications Symposium, PIMRC 2009
Country/Territory	Japan
City	Tokyo
Period	13/09/09 → 16/09/09

Access to Document

10.1109/PIMRC.2009.5449858

Cite this

Sheng, Z., Goeckel, D. L., Leung, K. K., & Ding, Z. (2009). A stochastic geometry approach to transmission capacity in wireless cooperative networks. In 2009 IEEE 20th Personal, Indoor and Mobile Radio Communications Symposium, PIMRC 2009 (pp. 622-626). Article 5449858 (IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/PIMRC.2009.5449858

Sheng, Zhengguo ; Goeckel, D. L. ; Leung, Kin K. et al. / A stochastic geometry approach to transmission capacity in wireless cooperative networks. 2009 IEEE 20th Personal, Indoor and Mobile Radio Communications Symposium, PIMRC 2009. Institute of Electrical and Electronics Engineers Inc., 2009. pp. 622-626 (IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC).

@inproceedings{e7a54eafe4be4fec9e0ff1b70b8ffd23,

title = "A stochastic geometry approach to transmission capacity in wireless cooperative networks",

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 ρ, 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 Θ(√ρ), 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.",

author = "Zhengguo Sheng and Goeckel, {D. L.} and Leung, {Kin K.} and Zhiguo Ding",

year = "2009",

doi = "10.1109/PIMRC.2009.5449858",

language = "British English",

isbn = "9781424451234",

series = "IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "622--626",

booktitle = "2009 IEEE 20th Personal, Indoor and Mobile Radio Communications Symposium, PIMRC 2009",

address = "United States",

note = "2009 IEEE 20th Personal, Indoor and Mobile Radio Communications Symposium, PIMRC 2009 ; Conference date: 13-09-2009 Through 16-09-2009",

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Sheng, Z, Goeckel, DL, Leung, KK & Ding, Z 2009, A stochastic geometry approach to transmission capacity in wireless cooperative networks. in 2009 IEEE 20th Personal, Indoor and Mobile Radio Communications Symposium, PIMRC 2009., 5449858, IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC, Institute of Electrical and Electronics Engineers Inc., pp. 622-626, 2009 IEEE 20th Personal, Indoor and Mobile Radio Communications Symposium, PIMRC 2009, Tokyo, Japan, 13/09/09. https://doi.org/10.1109/PIMRC.2009.5449858

A stochastic geometry approach to transmission capacity in wireless cooperative networks. / Sheng, Zhengguo; Goeckel, D. L.; Leung, Kin K. et al.
2009 IEEE 20th Personal, Indoor and Mobile Radio Communications Symposium, PIMRC 2009. Institute of Electrical and Electronics Engineers Inc., 2009. p. 622-626 5449858 (IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AB - 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 ρ, 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 Θ(√ρ), 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.

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Sheng Z, Goeckel DL, Leung KK, Ding Z. A stochastic geometry approach to transmission capacity in wireless cooperative networks. In 2009 IEEE 20th Personal, Indoor and Mobile Radio Communications Symposium, PIMRC 2009. Institute of Electrical and Electronics Engineers Inc. 2009. p. 622-626. 5449858. (IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC). doi: 10.1109/PIMRC.2009.5449858

A stochastic geometry approach to transmission capacity in wireless cooperative networks

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