Opportunistic power scheduling for dynamic multi-server wireless systems

Jang Won Lee; Ravi R. Mazumdar; Ness B. Shroff

doi:10.1109/TWC.2006.1638671

Opportunistic power scheduling for dynamic multi-server wireless systems

Jang Won Lee, Ravi R. Mazumdar, Ness B. Shroff

Department of Electrical and Electronic Engineering

Research output: Contribution to journal › Article › peer-review

83 Citations (Scopus)

Abstract

In this paper, we present an opportunistic power scheduling scheme, i.e., a joint time-slot and power allocation scheme for downlink communication in wireless systems. Unlike past works, we allow multiple transmissions in a time-slot that could potentially interfere with each other. These multiple transmissions are allowed to achieve high system efficiency. Hence, it is important to not only select the mobiles to be scheduled in a timeslot, but also to allocate an appropriate transmission power level to these scheduled mobiles. We model the time-varying wireless channel as a stochastic process and formulate a stochastic optimization problem that attempts to maximize the expected total system utility with general constraints on performance or fairness. The power scheduling algorithm is obtained by using stochastic duality and implemented via stochastic subgradient techniques.

Original language	English
Article number	1638671
Pages (from-to)	1506-1515
Number of pages	10
Journal	IEEE Transactions on Wireless Communications
Volume	5
Issue number	6
DOIs	https://doi.org/10.1109/TWC.2006.1638671
Publication status	Published - 2006 Jun

Bibliographical note

Funding Information:
Manuscript received June 24, 2004; revised January 10, 2005; accepted March 25, 2005. The associate editor coordinating the review of this paper and approving it for publication was M. Zorzi. This research has been supported in part by NSF grants ANI-0073359, ANI-9805441, and ANI-0207728.

All Science Journal Classification (ASJC) codes

Computer Science Applications
Electrical and Electronic Engineering
Applied Mathematics

Access to Document

10.1109/TWC.2006.1638671

Fingerprint Dive into the research topics of 'Opportunistic power scheduling for dynamic multi-server wireless systems'. Together they form a unique fingerprint.

Cite this

@article{4a3899de673d4ce0bce8da181ecd89b3,

title = "Opportunistic power scheduling for dynamic multi-server wireless systems",

abstract = "In this paper, we present an opportunistic power scheduling scheme, i.e., a joint time-slot and power allocation scheme for downlink communication in wireless systems. Unlike past works, we allow multiple transmissions in a time-slot that could potentially interfere with each other. These multiple transmissions are allowed to achieve high system efficiency. Hence, it is important to not only select the mobiles to be scheduled in a timeslot, but also to allocate an appropriate transmission power level to these scheduled mobiles. We model the time-varying wireless channel as a stochastic process and formulate a stochastic optimization problem that attempts to maximize the expected total system utility with general constraints on performance or fairness. The power scheduling algorithm is obtained by using stochastic duality and implemented via stochastic subgradient techniques.",

author = "Lee, {Jang Won} and Mazumdar, {Ravi R.} and Shroff, {Ness B.}",

note = "Funding Information: Manuscript received June 24, 2004; revised January 10, 2005; accepted March 25, 2005. The associate editor coordinating the review of this paper and approving it for publication was M. Zorzi. This research has been supported in part by NSF grants ANI-0073359, ANI-9805441, and ANI-0207728.",

year = "2006",

month = jun,

doi = "10.1109/TWC.2006.1638671",

language = "English",

volume = "5",

pages = "1506--1515",

journal = "IEEE Transactions on Wireless Communications",

issn = "1536-1276",

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

number = "6",

}

TY - JOUR

T1 - Opportunistic power scheduling for dynamic multi-server wireless systems

AU - Lee, Jang Won

AU - Mazumdar, Ravi R.

AU - Shroff, Ness B.

N1 - Funding Information: Manuscript received June 24, 2004; revised January 10, 2005; accepted March 25, 2005. The associate editor coordinating the review of this paper and approving it for publication was M. Zorzi. This research has been supported in part by NSF grants ANI-0073359, ANI-9805441, and ANI-0207728.

PY - 2006/6

Y1 - 2006/6

N2 - In this paper, we present an opportunistic power scheduling scheme, i.e., a joint time-slot and power allocation scheme for downlink communication in wireless systems. Unlike past works, we allow multiple transmissions in a time-slot that could potentially interfere with each other. These multiple transmissions are allowed to achieve high system efficiency. Hence, it is important to not only select the mobiles to be scheduled in a timeslot, but also to allocate an appropriate transmission power level to these scheduled mobiles. We model the time-varying wireless channel as a stochastic process and formulate a stochastic optimization problem that attempts to maximize the expected total system utility with general constraints on performance or fairness. The power scheduling algorithm is obtained by using stochastic duality and implemented via stochastic subgradient techniques.

AB - In this paper, we present an opportunistic power scheduling scheme, i.e., a joint time-slot and power allocation scheme for downlink communication in wireless systems. Unlike past works, we allow multiple transmissions in a time-slot that could potentially interfere with each other. These multiple transmissions are allowed to achieve high system efficiency. Hence, it is important to not only select the mobiles to be scheduled in a timeslot, but also to allocate an appropriate transmission power level to these scheduled mobiles. We model the time-varying wireless channel as a stochastic process and formulate a stochastic optimization problem that attempts to maximize the expected total system utility with general constraints on performance or fairness. The power scheduling algorithm is obtained by using stochastic duality and implemented via stochastic subgradient techniques.

UR - http://www.scopus.com/inward/record.url?scp=33745094406&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=33745094406&partnerID=8YFLogxK

U2 - 10.1109/TWC.2006.1638671

DO - 10.1109/TWC.2006.1638671

M3 - Article

AN - SCOPUS:33745094406

VL - 5

SP - 1506

EP - 1515

JO - IEEE Transactions on Wireless Communications

JF - IEEE Transactions on Wireless Communications

SN - 1536-1276

IS - 6

M1 - 1638671

ER -