Proportional Fairness-Based Resource Allocation for LTE-U Coexisting With Wi-Fi

To further boost the performance of LTE to meet the ever-increasing mobile traffic demand in a cost-effective way, applying LTE in unlicensed spectrum, known as LTE-U technology, is considered as a promising complementary solution for achieving the ultra-capacity foreseen in 5G and beyond. In the un...

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Main Authors: Hongli He, Hangguan Shan, Aiping Huang, Lin X. Cai, Tony Q. S. Quek
Format: Article
Language:English
Published: IEEE 2017-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/7558177/
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author Hongli He
Hangguan Shan
Aiping Huang
Lin X. Cai
Tony Q. S. Quek
author_facet Hongli He
Hangguan Shan
Aiping Huang
Lin X. Cai
Tony Q. S. Quek
author_sort Hongli He
collection DOAJ
description To further boost the performance of LTE to meet the ever-increasing mobile traffic demand in a cost-effective way, applying LTE in unlicensed spectrum, known as LTE-U technology, is considered as a promising complementary solution for achieving the ultra-capacity foreseen in 5G and beyond. In the unlicensed spectrum, LTE-U will share the channel with other unlicensed networks, e.g., Wi-Fi. However, the centralized control architecture of LTE networks is inherently different from the distributed channel access of Wi-Fi network, which poses great challenges to achieve fair coexistence of the two networks. To this end, in this paper, we propose a cross-layer proportional fairness (PF)-based framework to jointly optimize the protocol parameters of the medium access control layer and physical layer of an LTE-U network. Specifically, to achieve throughput-oriented PF between the two heterogeneous networks, the cross-layer optimization framework can be decoupled into a device number weighted time occupation ratio-oriented PF optimization problem and a channel-power allocation-based instantaneous transmission rate-oriented PF optimization problem. Given that LTE-U base stations adopt a listen-before-talk-based channel access scheme, the interactions between the LTE-U and the Wi-Fi networks are modeled by two interactive Markov chains. The effectiveness and the superior performance of the proposed cross-layer PF-based optimization framework are demonstrated and verified by simulations.
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spelling doaj.art-77d3c86deafb4619aa65163dc46b4c2c2022-12-21T23:44:13ZengIEEEIEEE Access2169-35362017-01-0154720473110.1109/ACCESS.2016.26048227558177Proportional Fairness-Based Resource Allocation for LTE-U Coexisting With Wi-FiHongli He0Hangguan Shan1https://orcid.org/0000-0001-6264-9858Aiping Huang2Lin X. Cai3Tony Q. S. Quek4College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, ChinaCollege of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, ChinaCollege of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, ChinaDepartment of Electrical and Computer Engineering, Illinois Institute of Technology, Chicago, IL, USASingapore University of Technology and Design, SingaporeTo further boost the performance of LTE to meet the ever-increasing mobile traffic demand in a cost-effective way, applying LTE in unlicensed spectrum, known as LTE-U technology, is considered as a promising complementary solution for achieving the ultra-capacity foreseen in 5G and beyond. In the unlicensed spectrum, LTE-U will share the channel with other unlicensed networks, e.g., Wi-Fi. However, the centralized control architecture of LTE networks is inherently different from the distributed channel access of Wi-Fi network, which poses great challenges to achieve fair coexistence of the two networks. To this end, in this paper, we propose a cross-layer proportional fairness (PF)-based framework to jointly optimize the protocol parameters of the medium access control layer and physical layer of an LTE-U network. Specifically, to achieve throughput-oriented PF between the two heterogeneous networks, the cross-layer optimization framework can be decoupled into a device number weighted time occupation ratio-oriented PF optimization problem and a channel-power allocation-based instantaneous transmission rate-oriented PF optimization problem. Given that LTE-U base stations adopt a listen-before-talk-based channel access scheme, the interactions between the LTE-U and the Wi-Fi networks are modeled by two interactive Markov chains. The effectiveness and the superior performance of the proposed cross-layer PF-based optimization framework are demonstrated and verified by simulations.https://ieeexplore.ieee.org/document/7558177/LTE-UWi-Fiproportional fairnessMAC modelingcross-layer design
spellingShingle Hongli He
Hangguan Shan
Aiping Huang
Lin X. Cai
Tony Q. S. Quek
Proportional Fairness-Based Resource Allocation for LTE-U Coexisting With Wi-Fi
IEEE Access
LTE-U
Wi-Fi
proportional fairness
MAC modeling
cross-layer design
title Proportional Fairness-Based Resource Allocation for LTE-U Coexisting With Wi-Fi
title_full Proportional Fairness-Based Resource Allocation for LTE-U Coexisting With Wi-Fi
title_fullStr Proportional Fairness-Based Resource Allocation for LTE-U Coexisting With Wi-Fi
title_full_unstemmed Proportional Fairness-Based Resource Allocation for LTE-U Coexisting With Wi-Fi
title_short Proportional Fairness-Based Resource Allocation for LTE-U Coexisting With Wi-Fi
title_sort proportional fairness based resource allocation for lte u coexisting with wi fi
topic LTE-U
Wi-Fi
proportional fairness
MAC modeling
cross-layer design
url https://ieeexplore.ieee.org/document/7558177/
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