Joint channel and queue aware scheduling for wireless links with multiple fading states

Juan Liu, Wei Chen, Khaled Letaief

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

In this work, we address the delay optimal scheduling problem for wireless transmission with fixed modulation over multi-state fading channels. We propose a stochastic scheduling policy which schedules the source to transmit with probability jointly based on the buffer and channel states, with an average power constraint at the transmitter. Our objective is to derive the optimal transmission probabilities such that the average queueing delay is minimized subject to the power constraint. Using Markov chain modeling, we formulate a power-constrained delay minimization problem, and then transform it into a Linear Programming one. By analyzing its property, we can derive the optimal threshold-based scheduling policy together with the corresponding transmission probabilities. Our theoretical analysis is corroborated by simulation results.

Original languageEnglish
Title of host publication2015 IEEE/CIC International Conference on Communications in China, ICCC 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781509002436
DOIs
Publication statusPublished - 6 Apr 2016
Externally publishedYes
EventIEEE/CIC International Conference on Communications in China, ICCC 2015 - Shenzhen, China
Duration: 2 Nov 20155 Nov 2015

Other

OtherIEEE/CIC International Conference on Communications in China, ICCC 2015
CountryChina
CityShenzhen
Period2/11/155/11/15

Fingerprint

Fading (radio)
Telecommunication links
Scheduling
Fading channels
Linear programming
Markov processes
Transmitters
Modulation

ASJC Scopus subject areas

  • Computer Networks and Communications

Cite this

Liu, J., Chen, W., & Letaief, K. (2016). Joint channel and queue aware scheduling for wireless links with multiple fading states. In 2015 IEEE/CIC International Conference on Communications in China, ICCC 2015 [7448760] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICCChina.2015.7448760

Joint channel and queue aware scheduling for wireless links with multiple fading states. / Liu, Juan; Chen, Wei; Letaief, Khaled.

2015 IEEE/CIC International Conference on Communications in China, ICCC 2015. Institute of Electrical and Electronics Engineers Inc., 2016. 7448760.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Liu, J, Chen, W & Letaief, K 2016, Joint channel and queue aware scheduling for wireless links with multiple fading states. in 2015 IEEE/CIC International Conference on Communications in China, ICCC 2015., 7448760, Institute of Electrical and Electronics Engineers Inc., IEEE/CIC International Conference on Communications in China, ICCC 2015, Shenzhen, China, 2/11/15. https://doi.org/10.1109/ICCChina.2015.7448760
Liu J, Chen W, Letaief K. Joint channel and queue aware scheduling for wireless links with multiple fading states. In 2015 IEEE/CIC International Conference on Communications in China, ICCC 2015. Institute of Electrical and Electronics Engineers Inc. 2016. 7448760 https://doi.org/10.1109/ICCChina.2015.7448760
Liu, Juan ; Chen, Wei ; Letaief, Khaled. / Joint channel and queue aware scheduling for wireless links with multiple fading states. 2015 IEEE/CIC International Conference on Communications in China, ICCC 2015. Institute of Electrical and Electronics Engineers Inc., 2016.
@inproceedings{5cb8ce1df2764d1db2b78dc77f6fa0b5,
title = "Joint channel and queue aware scheduling for wireless links with multiple fading states",
abstract = "In this work, we address the delay optimal scheduling problem for wireless transmission with fixed modulation over multi-state fading channels. We propose a stochastic scheduling policy which schedules the source to transmit with probability jointly based on the buffer and channel states, with an average power constraint at the transmitter. Our objective is to derive the optimal transmission probabilities such that the average queueing delay is minimized subject to the power constraint. Using Markov chain modeling, we formulate a power-constrained delay minimization problem, and then transform it into a Linear Programming one. By analyzing its property, we can derive the optimal threshold-based scheduling policy together with the corresponding transmission probabilities. Our theoretical analysis is corroborated by simulation results.",
author = "Juan Liu and Wei Chen and Khaled Letaief",
year = "2016",
month = "4",
day = "6",
doi = "10.1109/ICCChina.2015.7448760",
language = "English",
booktitle = "2015 IEEE/CIC International Conference on Communications in China, ICCC 2015",
publisher = "Institute of Electrical and Electronics Engineers Inc.",

}

TY - GEN

T1 - Joint channel and queue aware scheduling for wireless links with multiple fading states

AU - Liu, Juan

AU - Chen, Wei

AU - Letaief, Khaled

PY - 2016/4/6

Y1 - 2016/4/6

N2 - In this work, we address the delay optimal scheduling problem for wireless transmission with fixed modulation over multi-state fading channels. We propose a stochastic scheduling policy which schedules the source to transmit with probability jointly based on the buffer and channel states, with an average power constraint at the transmitter. Our objective is to derive the optimal transmission probabilities such that the average queueing delay is minimized subject to the power constraint. Using Markov chain modeling, we formulate a power-constrained delay minimization problem, and then transform it into a Linear Programming one. By analyzing its property, we can derive the optimal threshold-based scheduling policy together with the corresponding transmission probabilities. Our theoretical analysis is corroborated by simulation results.

AB - In this work, we address the delay optimal scheduling problem for wireless transmission with fixed modulation over multi-state fading channels. We propose a stochastic scheduling policy which schedules the source to transmit with probability jointly based on the buffer and channel states, with an average power constraint at the transmitter. Our objective is to derive the optimal transmission probabilities such that the average queueing delay is minimized subject to the power constraint. Using Markov chain modeling, we formulate a power-constrained delay minimization problem, and then transform it into a Linear Programming one. By analyzing its property, we can derive the optimal threshold-based scheduling policy together with the corresponding transmission probabilities. Our theoretical analysis is corroborated by simulation results.

UR - http://www.scopus.com/inward/record.url?scp=84967175491&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84967175491&partnerID=8YFLogxK

U2 - 10.1109/ICCChina.2015.7448760

DO - 10.1109/ICCChina.2015.7448760

M3 - Conference contribution

BT - 2015 IEEE/CIC International Conference on Communications in China, ICCC 2015

PB - Institute of Electrical and Electronics Engineers Inc.

ER -