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

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

Research output: Chapter in Book/Report/Conference proceedingConference 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 languageEnglish (US)
Title of host publication2018 IEEE Canadian Conference on Electrical and Computer Engineering, CCECE 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Print)9781538624104
DOIs
StatePublished - Aug 27 2018
Event2018 IEEE Canadian Conference on Electrical and Computer Engineering, CCECE 2018 - Quebec City, Canada
Duration: May 13 2018May 16 2018

Publication series

NameCanadian Conference on Electrical and Computer Engineering
Volume2018-May
ISSN (Print)0840-7789

Other

Other2018 IEEE Canadian Conference on Electrical and Computer Engineering, CCECE 2018
CountryCanada
CityQuebec City
Period5/13/185/16/18

All Science Journal Classification (ASJC) codes

  • Hardware and Architecture
  • Electrical and Electronic Engineering

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  • 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