Gao, Y., Hu, H., Wu, Y. et al. (2 more authors) (2018) Energy efficient and fair resource allocation for LTE-unlicensed uplink networks: A two-sided matching approach with partial information. Transactions on Emerging Telecommunications Technologies, 29 (10). e3500. ISSN 2161-3915
Abstract
Long‐Term Evolution–unlicensed (LTE‐U) has recently attracted worldwide interest to meet the explosion in cellular traffic data. By using carrier aggregation, licensed and unlicensed bands are integrated to enhance transmission capacity while maintaining reliable and predictable performance. As there may exist other conventional unlicensed band users, such as WiFi users, LTE‐U users have to share the same unlicensed bands with them. Thus, an optimized resource allocation scheme to ensure the fairness between LTE‐U users and conventional unlicensed band users is critical for the deployment of LTE‐U networks. In this paper, we investigate an energy efficient resource allocation problem in LTE‐U coexisting with other wireless networks, which aims at guaranteeing fairness among the users of different radio access networks. We formulate the problem as a multiobjective optimization problem and propose a semidistributed matching framework with a partial information‐based algorithm to solve it. We demonstrate our contributions with simulations in which various network densities and traffic load levels are considered.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2018 John Wiley & Sons, Ltd. This is an author produced version of a paper subsequently published in Transactions on Emerging Telecommunications Technologies. Uploaded in accordance with the publisher's self-archiving policy. |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Electronic and Electrical Engineering (Sheffield) |
Funding Information: | Funder Grant number EUROPEAN COMMISSION - HORIZON 2020 645705 - DECADE |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 24 Jul 2018 15:16 |
Last Modified: | 11 Aug 2020 13:40 |
Status: | Published |
Publisher: | Wiley |
Refereed: | Yes |
Identification Number: | 10.1002/ett.3500 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:133455 |