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Title: Efficient LTE/WiFi coexistence in unlicensed spectrum using virtual network entity
Authors: Dalili Shoaei, Atoosa
Derakhshani, Mahsa
Le-Ngoc, Tho
Salem, Mohamed
Issue Date: 2017
Publisher: © IEEE
Citation: DALILI SHOAEI, A. ... et al, 2017. Efficient LTE/WiFi coexistence in unlicensed spectrum using virtual network entity. IN: Proceedings of the IEEE Global Communications Conference (IEEE GLOBECOM 2017), Singapore, 4th-8th December 2017.
Abstract: Due to the increasing demand for mobile traffic, the unlicensed band operation for LTE is proposed by mobile operators. Although by using this approach higher capacity can be achieved for LTE, performance of other wireless technologies operating in this band such as WiFi can be degraded significantly. In order to enable efficient LTE/WiFi coexistence, we consider a coordinated structure via a virtual network entity. LTE users can transmit in the assigned time-slots, while WiFi users can compete with each other by using 𝑝-persistent CSMA in their exclusive time-share. In an unsaturated network, at each duty cycle, the TDMA scheduling for LTE users and 𝑝 values for WiFi users are updated to maximize the overall network throughput subject to a constraint on the minimum acceptable throughput for WiFi. The corresponding optimization problem is formulated and an iterative algorithm is developed to find the optimal solution using complementary geometric programming (CGP) and monomial approximations. The simulation results reveal the performance gains of the proposed algorithm in preserving the WiFi throughput requirement.
Description: This paper is closed access until it is published. © 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Sponsor: This work is supported in part by an NSERC CRD Grant with Huawei Technologies Canada CO., LTD.
Version: Accepted for publication
URI: https://dspace.lboro.ac.uk/2134/26473
Publisher Link: http://globecom2017.ieee-globecom.org/
Appears in Collections:Closed Access (Mechanical, Electrical and Manufacturing Engineering)

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