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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IEEE
2017-01-01
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Series: | IEEE Access |
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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. |
first_indexed | 2024-12-13T13:28:42Z |
format | Article |
id | doaj.art-77d3c86deafb4619aa65163dc46b4c2c |
institution | Directory Open Access Journal |
issn | 2169-3536 |
language | English |
last_indexed | 2024-12-13T13:28:42Z |
publishDate | 2017-01-01 |
publisher | IEEE |
record_format | Article |
series | IEEE Access |
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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