LTE/Wi-Fi Coexistence in Unlicensed Bands Based on Dynamic Transmission Opportunity



Alhulayil, Moawiah and Lopez-Benitez, Miguel ORCID: 0000-0003-0526-6687
(2020) LTE/Wi-Fi Coexistence in Unlicensed Bands Based on Dynamic Transmission Opportunity. In: IEEE Wireless Communications and Networking Conference (WCNC 2020), 6th IEEE International Workshop on Smart Spectrum (IWSS 2020), 2020-4-6 - 2020-4-8, Seoul, South Korea.

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Abstract

With the rapid proliferation of smart devices, the demand for more licensed spectrum bands arises. Due to the scarcity of the licensed spectrum, the 3rd Generation Partnership (3GPP) has recently deployed Long Term Evolution (LTE) networks using the Licensed Assisted Access (LAA) scheme over unlicensed bands. On the other hand, the Wi-Fi technology is the main technology that operates over these unlicensed bands. Thus, the major concern is to attain a fair coexistence mechanism between these coexisting technologies (i.e., LTE and Wi- Fi). In this paper, we focus on the downlink scenario under different traffic loads to study the effect of the maximum Transmission Opportunity (TxOP) period for LTE-LAA in the performance of LTE-LAA/Wi-Fi coexistence. A dynamic TxOP period method is proposed to provide better fairness and higher total aggregated throughputs for the coexisting networks based on the Hybrid Automatic Repeat Request (HARQ) reports. The novelty of this work is that the existing HARQ reports are exploited to update the TxOP period for LAA in a dynamic manner. We show that the TxOP period plays a key role in the coexistence between LTE-LAA and Wi-Fi networks over unlicensed bands. The simulation results show that the proposed dynamic TxOP method improves the fairness and achieves higher total aggregated throughputs for both coexisting networks as compared to the static TxOP period used by the standard Category 4 LBT (Cat 4 LBT) method defined by 3GPP.

Item Type: Conference or Workshop Item (Unspecified)
Uncontrolled Keywords: 3G mobile communication, Automatic repeat request, Long term evolution, Radio spectrum management
Depositing User: Symplectic Admin
Date Deposited: 03 Mar 2020 10:07
Last Modified: 15 Mar 2024 06:08
DOI: 10.1109/WCNCW48565.2020.9124747
Related URLs:
URI: https://livrepository.liverpool.ac.uk/id/eprint/3076079