A Stochastic Programming Model for Resource Allocation in LTE-U Networks

Henrique V. Lima; Abdallah S. Abdallah; Elivelton F. Bueno; Kleber V. Cardoso

doi:10.1109/CCECE.2018.8447780

A Stochastic Programming Model for Resource Allocation in LTE-U Networks

Henrique V. Lima, Abdallah S. Abdallah, Elivelton F. Bueno, Kleber V. Cardoso

School of Engineering (Behrend)

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

Abstract

Long Term Evolution in unlicensed bands (LTE-U) has emerged as a promising solution to address the unprecedented growth of mobile data traffic. LTE-U extends the advantages of LTE protocols to the 5GHz unlicensed bands, which are primarily used in USA by IEEE 802.11a/n/ac WLANs and radar systems. However, LTE-U deployment is a challenging task for cellular operators due to several regulations and factors (e.g., uncertainty of available capacity). In this paper, we present a stochastic programming model for the allocation of LTE-U resources that maximizes the service capacity for LTE users, while controls the risk of collision with Wi-Fi traffic by operating under a predefined minimum collision probability.

Original language	English (US)
Title of host publication	2018 IEEE Canadian Conference on Electrical and Computer Engineering, CCECE 2018
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Print)	9781538624104
DOIs	https://doi.org/10.1109/CCECE.2018.8447780
State	Published - Aug 27 2018
Event	2018 IEEE Canadian Conference on Electrical and Computer Engineering, CCECE 2018 - Quebec City, Canada Duration: May 13 2018 → May 16 2018

Publication series

Name	Canadian Conference on Electrical and Computer Engineering
Volume	2018-May
ISSN (Print)	0840-7789

Other

Other	2018 IEEE Canadian Conference on Electrical and Computer Engineering, CCECE 2018
Country/Territory	Canada
City	Quebec City
Period	5/13/18 → 5/16/18

All Science Journal Classification (ASJC) codes

Hardware and Architecture
Electrical and Electronic Engineering

Access to Document

10.1109/CCECE.2018.8447780

Cite this

Lima, H. V., Abdallah, A. S., Bueno, E. F., & Cardoso, K. V. (2018). A Stochastic Programming Model for Resource Allocation in LTE-U Networks. In 2018 IEEE Canadian Conference on Electrical and Computer Engineering, CCECE 2018 [8447780] (Canadian Conference on Electrical and Computer Engineering; Vol. 2018-May). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CCECE.2018.8447780

@inproceedings{381ee349ff0644de87ce44a13b393d0b,

title = "A Stochastic Programming Model for Resource Allocation in LTE-U Networks",

abstract = "Long Term Evolution in unlicensed bands (LTE-U) has emerged as a promising solution to address the unprecedented growth of mobile data traffic. LTE-U extends the advantages of LTE protocols to the 5GHz unlicensed bands, which are primarily used in USA by IEEE 802.11a/n/ac WLANs and radar systems. However, LTE-U deployment is a challenging task for cellular operators due to several regulations and factors (e.g., uncertainty of available capacity). In this paper, we present a stochastic programming model for the allocation of LTE-U resources that maximizes the service capacity for LTE users, while controls the risk of collision with Wi-Fi traffic by operating under a predefined minimum collision probability.",

author = "Lima, {Henrique V.} and Abdallah, {Abdallah S.} and Bueno, {Elivelton F.} and Cardoso, {Kleber V.}",

note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 2018 IEEE Canadian Conference on Electrical and Computer Engineering, CCECE 2018 ; Conference date: 13-05-2018 Through 16-05-2018",

year = "2018",

month = aug,

day = "27",

doi = "10.1109/CCECE.2018.8447780",

language = "English (US)",

isbn = "9781538624104",

series = "Canadian Conference on Electrical and Computer Engineering",

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

booktitle = "2018 IEEE Canadian Conference on Electrical and Computer Engineering, CCECE 2018",

address = "United States",

}

Lima, HV, Abdallah, AS, Bueno, EF & Cardoso, KV 2018, A Stochastic Programming Model for Resource Allocation in LTE-U Networks. in 2018 IEEE Canadian Conference on Electrical and Computer Engineering, CCECE 2018., 8447780, Canadian Conference on Electrical and Computer Engineering, vol. 2018-May, Institute of Electrical and Electronics Engineers Inc., 2018 IEEE Canadian Conference on Electrical and Computer Engineering, CCECE 2018, Quebec City, Canada, 5/13/18. https://doi.org/10.1109/CCECE.2018.8447780

A Stochastic Programming Model for Resource Allocation in LTE-U Networks. / Lima, Henrique V.; Abdallah, Abdallah S.; Bueno, Elivelton F. et al.
2018 IEEE Canadian Conference on Electrical and Computer Engineering, CCECE 2018. Institute of Electrical and Electronics Engineers Inc., 2018. 8447780 (Canadian Conference on Electrical and Computer Engineering; Vol. 2018-May).

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

TY - GEN

T1 - A Stochastic Programming Model for Resource Allocation in LTE-U Networks

AU - Lima, Henrique V.

AU - Abdallah, Abdallah S.

AU - Bueno, Elivelton F.

AU - Cardoso, Kleber V.

PY - 2018/8/27

Y1 - 2018/8/27

N2 - Long Term Evolution in unlicensed bands (LTE-U) has emerged as a promising solution to address the unprecedented growth of mobile data traffic. LTE-U extends the advantages of LTE protocols to the 5GHz unlicensed bands, which are primarily used in USA by IEEE 802.11a/n/ac WLANs and radar systems. However, LTE-U deployment is a challenging task for cellular operators due to several regulations and factors (e.g., uncertainty of available capacity). In this paper, we present a stochastic programming model for the allocation of LTE-U resources that maximizes the service capacity for LTE users, while controls the risk of collision with Wi-Fi traffic by operating under a predefined minimum collision probability.

AB - Long Term Evolution in unlicensed bands (LTE-U) has emerged as a promising solution to address the unprecedented growth of mobile data traffic. LTE-U extends the advantages of LTE protocols to the 5GHz unlicensed bands, which are primarily used in USA by IEEE 802.11a/n/ac WLANs and radar systems. However, LTE-U deployment is a challenging task for cellular operators due to several regulations and factors (e.g., uncertainty of available capacity). In this paper, we present a stochastic programming model for the allocation of LTE-U resources that maximizes the service capacity for LTE users, while controls the risk of collision with Wi-Fi traffic by operating under a predefined minimum collision probability.

UR - http://www.scopus.com/inward/record.url?scp=85053623301&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85053623301&partnerID=8YFLogxK

U2 - 10.1109/CCECE.2018.8447780

DO - 10.1109/CCECE.2018.8447780

M3 - Conference contribution

AN - SCOPUS:85053623301

SN - 9781538624104

T3 - Canadian Conference on Electrical and Computer Engineering

BT - 2018 IEEE Canadian Conference on Electrical and Computer Engineering, CCECE 2018

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2018 IEEE Canadian Conference on Electrical and Computer Engineering, CCECE 2018

Y2 - 13 May 2018 through 16 May 2018

ER -

A Stochastic Programming Model for Resource Allocation in LTE-U Networks

Abstract

Publication series

Other

All Science Journal Classification (ASJC) codes

Access to Document

Other files and links

Fingerprint

Cite this