Chance-Constrained Spectrum Allocation for Fair LTE-U/Wi-Fi Coexistence

Aunas Manzoor, Seok Won Kang, Choong Seon Hong

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Citations (Scopus)

Abstract

In order to meet the ever-increasing data rate demands of future mobile networks, LTE in the unlicensed band (LTE-U) has been proposed in which LTE is operated on the unlicensed spectrum along with the incumbent unlicensed spectrum technologies e.g. Wi-Fi However, enabling LTE-U with the Wi-Fi network in the same unlicensed spectrum results in severe Wi-Fi performance degradations. This paper addressed such coexistence problem of Wi-Fi and LTE-U, by formulating a chance-constrained optimization problem such as to maintain certain Wi-Fi performance. In the first step, unlicensed spectrum is shared among Wi-Fi and LTE-U by adjusting the so-called duty-cycle according to the random Wi-Fi performance. Secondly, the LTE-U user association is performed through knapsack problem to efficiently utilize the available LTE-U duty-cycle. Simulations results show that the proposed algorithm provides fairness to the Wi-Fi system by adjusting the LTE-U duty-cycle.

Original languageEnglish
Title of host publication33rd International Conference on Information Networking, ICOIN 2019
PublisherIEEE Computer Society
Pages268-273
Number of pages6
ISBN (Electronic)9781538683507
DOIs
Publication statusPublished - 17 May 2019
Event33rd International Conference on Information Networking, ICOIN 2019 - Kuala Lumpur, Malaysia
Duration: 9 Jan 201911 Jan 2019

Publication series

NameInternational Conference on Information Networking
Volume2019-January
ISSN (Print)1976-7684

Conference

Conference33rd International Conference on Information Networking, ICOIN 2019
Country/TerritoryMalaysia
CityKuala Lumpur
Period9/01/1911/01/19

Bibliographical note

Publisher Copyright:
© 2019 IEEE.

Keywords

  • Chance-Constrained Optimization
  • LTE-U
  • Wi-Fi Fairness
  • knapsack Optimization

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