Stochastic power control for time-varying lognormal fading wireless channels

Mohammed M. Olama; Shoaib M. Shajaat; Seddik M. Djouadi; Charalambos D. Charalambous

Stochastic power control for time-varying lognormal fading wireless channels

Mohammed M. Olama, Shoaib M. Shajaat, Seddik M. Djouadi, Charalambos D. Charalambous

Research output: Contribution to journal › Conference article › peer-review

9 Scopus citations

Abstract

The performance of stochastic optimal power control of time varying lognormal fading channels, in which the evolution of the dynamical channel is described by stochastic differential equations (SDE's), is determined. Unlike the common random static models, the SDE's essentially capture the spatial-temporal variations of wireless channels. The solution of the stochastic optimal power control is obtained through path-wise optimization, which is solved by linear programming using a predictable power control strategy. The algorithm can be implemented using an iterative numerical scheme. The performance measure is interference or outage probability. Numerical results indicate that the performance of this algorithm is close to the optimal case as long as the channel model does not change significantly.

Original language	English
Pages (from-to)	1817-1822
Number of pages	6
Journal	Proceedings of the American Control Conference
Volume	3
State	Published - 2005
Externally published	Yes
Event	2005 American Control Conference, ACC - Portland, OR, United States Duration: Jun 8 2005 → Jun 10 2005

Cite this

@article{642dd1d9808b44d4818385f79d06759d,

title = "Stochastic power control for time-varying lognormal fading wireless channels",

abstract = "The performance of stochastic optimal power control of time varying lognormal fading channels, in which the evolution of the dynamical channel is described by stochastic differential equations (SDE's), is determined. Unlike the common random static models, the SDE's essentially capture the spatial-temporal variations of wireless channels. The solution of the stochastic optimal power control is obtained through path-wise optimization, which is solved by linear programming using a predictable power control strategy. The algorithm can be implemented using an iterative numerical scheme. The performance measure is interference or outage probability. Numerical results indicate that the performance of this algorithm is close to the optimal case as long as the channel model does not change significantly.",

author = "Olama, {Mohammed M.} and Shajaat, {Shoaib M.} and Djouadi, {Seddik M.} and Charalambous, {Charalambos D.}",

year = "2005",

language = "English",

volume = "3",

pages = "1817--1822",

journal = "Proceedings of the American Control Conference",

issn = "0743-1619",

note = "2005 American Control Conference, ACC ; Conference date: 08-06-2005 Through 10-06-2005",

}

TY - JOUR

T1 - Stochastic power control for time-varying lognormal fading wireless channels

AU - Olama, Mohammed M.

AU - Shajaat, Shoaib M.

AU - Djouadi, Seddik M.

AU - Charalambous, Charalambos D.

PY - 2005

Y1 - 2005

N2 - The performance of stochastic optimal power control of time varying lognormal fading channels, in which the evolution of the dynamical channel is described by stochastic differential equations (SDE's), is determined. Unlike the common random static models, the SDE's essentially capture the spatial-temporal variations of wireless channels. The solution of the stochastic optimal power control is obtained through path-wise optimization, which is solved by linear programming using a predictable power control strategy. The algorithm can be implemented using an iterative numerical scheme. The performance measure is interference or outage probability. Numerical results indicate that the performance of this algorithm is close to the optimal case as long as the channel model does not change significantly.

AB - The performance of stochastic optimal power control of time varying lognormal fading channels, in which the evolution of the dynamical channel is described by stochastic differential equations (SDE's), is determined. Unlike the common random static models, the SDE's essentially capture the spatial-temporal variations of wireless channels. The solution of the stochastic optimal power control is obtained through path-wise optimization, which is solved by linear programming using a predictable power control strategy. The algorithm can be implemented using an iterative numerical scheme. The performance measure is interference or outage probability. Numerical results indicate that the performance of this algorithm is close to the optimal case as long as the channel model does not change significantly.

UR - http://www.scopus.com/inward/record.url?scp=23944474623&partnerID=8YFLogxK

M3 - Conference article

AN - SCOPUS:23944474623

SN - 0743-1619

VL - 3

SP - 1817

EP - 1822

JO - Proceedings of the American Control Conference

JF - Proceedings of the American Control Conference

T2 - 2005 American Control Conference, ACC

Y2 - 8 June 2005 through 10 June 2005

ER -

Stochastic power control for time-varying lognormal fading wireless channels

Abstract

Other files and links

Fingerprint

Cite this