research-article

A resource allocation algorithm for users with multiple applications in 4G-LTE

Authors:

Ahmed Abdel-Hadi,

Charles Clancy,

Joseph Mitola, IIIAuthors Info & Claims

CRAB '13: Proceedings of the 1st ACM workshop on Cognitive radio architectures for broadband

Pages 13 - 20

https://doi.org/10.1145/2508478.2508481

Published: 04 October 2013 Publication History

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Abstract

In this paper, we consider resource allocation optimization problem in fourth generation long term evolution (4G-LTE) with users running multiple applications. Each mobile user can run both delay-tolerant and real-time applications. In every user equipment (UE), each application has a application-status differentiation from other applications depending on its instantaneous usage percentage. In addition, the network operators provide subscriber differentiation by assigning each UE a subscription weight relative to its subscription. The objective is to optimally allocate the resources with a utility proportional fairness policy. We propose an algorithm to allocate the resources in two-stages. In the first-stage, the UEs collaborate with the evolved node B (eNodeB) that allocates the optimal rates to users according to that policy. In the second-stage, each user allocates its assigned rate internally to its applications according to their usage percentage. We prove that the two-stage resource allocation algorithm allocates the optimal rates without eNodeB knowledge of the UEs utilities. Finally, numerical results on the performance of the proposed algorithm are presented.

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Ghorbanzadeh MAbdelhadi AGhorbanzadeh MAbdelhadi A(2021)Radio Resource Block AllocationPractical Channel-Aware Resource Allocation10.1007/978-3-030-73632-3_4(71-91)Online publication date: 27-Mar-2021
https://doi.org/10.1007/978-3-030-73632-3_4
Ghorbanzadeh MAbdelhadi AGhorbanzadeh MAbdelhadi A(2021)Utility Functions and Radio Resource AllocationPractical Channel-Aware Resource Allocation10.1007/978-3-030-73632-3_2(17-30)Online publication date: 27-Mar-2021
https://doi.org/10.1007/978-3-030-73632-3_2
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https://dl.acm.org/doi/10.1016/j.phycom.2015.07.001
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Index Terms

A resource allocation algorithm for users with multiple applications in 4G-LTE
1. Mathematics of computing
  1. Information theory

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Information

Published In

CRAB '13: Proceedings of the 1st ACM workshop on Cognitive radio architectures for broadband

October 2013

86 pages

ISBN:9781450323680

DOI:10.1145/2508478

Program Chairs:
Yi Shi
Intelligent Automation Inc.
,
Yalin E. Sagduyu
Intelligent Automation Inc.
,
Charles Clancy
Virginia Tech

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

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Published: 04 October 2013

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MobiCom'13

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SIGMOBILE

MobiCom'13: The 19th Annual International Conference on Mobile Computing and Networking

October 4, 2013

Florida, Miami, USA

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Cited By

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Ghorbanzadeh MAbdelhadi AGhorbanzadeh MAbdelhadi A(2021)Radio Resource Block AllocationPractical Channel-Aware Resource Allocation10.1007/978-3-030-73632-3_4(71-91)Online publication date: 27-Mar-2021
https://doi.org/10.1007/978-3-030-73632-3_4
Ghorbanzadeh MAbdelhadi AGhorbanzadeh MAbdelhadi A(2021)Utility Functions and Radio Resource AllocationPractical Channel-Aware Resource Allocation10.1007/978-3-030-73632-3_2(17-30)Online publication date: 27-Mar-2021
https://doi.org/10.1007/978-3-030-73632-3_2
(2018)Optimal downlink power allocation in cellular networksPhysical Communication10.1016/j.phycom.2015.07.00117:C(1-14)Online publication date: 20-Dec-2018
https://dl.acm.org/doi/10.1016/j.phycom.2015.07.001
Ghorbanzadeh MAbdelhadi AClancy C(2017)Application-Aware Resource Allocation of Hybrid Traffic in Cellular NetworksIEEE Transactions on Cognitive Communications and Networking10.1109/TCCN.2017.26854283:2(226-241)Online publication date: Jun-2017
https://doi.org/10.1109/TCCN.2017.2685428
Ghorbanzadeh MAbdelhadi AClancy CGhorbanzadeh MAbdelhadi AClancy C(2016)Radio Resource Block AllocationCellular Communications Systems in Congested Environments10.1007/978-3-319-46267-7_6(117-146)Online publication date: 12-Oct-2016
https://doi.org/10.1007/978-3-319-46267-7_6
Ghorbanzadeh MAbdelhadi AClancy CGhorbanzadeh MAbdelhadi AClancy C(2016)Resource Allocation Architectures Traffic and Sensitivity AnalysisCellular Communications Systems in Congested Environments10.1007/978-3-319-46267-7_5(93-116)Online publication date: 12-Oct-2016
https://doi.org/10.1007/978-3-319-46267-7_5
Ghorbanzadeh MAbdelhadi AClancy CGhorbanzadeh MAbdelhadi AClancy C(2016)Distributed Resource AllocationCellular Communications Systems in Congested Environments10.1007/978-3-319-46267-7_4(61-91)Online publication date: 12-Oct-2016
https://doi.org/10.1007/978-3-319-46267-7_4
Ghorbanzadeh MAbdelhadi AClancy CGhorbanzadeh MAbdelhadi AClancy C(2016)Centralized Resource AllocationCellular Communications Systems in Congested Environments10.1007/978-3-319-46267-7_3(37-60)Online publication date: 12-Oct-2016
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Ghorbanzadeh MAbdelhadi AClancy CGhorbanzadeh MAbdelhadi AClancy C(2016)Utility Functions and Radio Resource AllocationCellular Communications Systems in Congested Environments10.1007/978-3-319-46267-7_2(21-36)Online publication date: 12-Oct-2016
https://doi.org/10.1007/978-3-319-46267-7_2
Ghorbanzadeh MAbdelhadi AClancy CGhorbanzadeh MAbdelhadi AClancy C(2016)Quality of Service in Communication SystemsCellular Communications Systems in Congested Environments10.1007/978-3-319-46267-7_1(1-20)Online publication date: 12-Oct-2016
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