On efficient power allocation modeling in virtualized uplink 3GPP-LTE systems

Mohamed Hussein; Abdallah Moubayed; Serguei Primak; Abdallah Shami

doi:10.1109/WiMOB.2015.7348046

On efficient power allocation modeling in virtualized uplink 3GPP-LTE systems

Mohamed Hussein
, Abdallah Moubayed
, Serguei Primak
, Abdallah Shami

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

7 Scopus citations

Abstract

In order to accommodate mobile users' consumed power with the rapid increase of multimedia-rich mobile data, additional network capacities with optimized power allocation scheduling algorithms should be deployed. Motivated by the fundamental requirement of extending the mobile devices' battery utilization time per charge, this work formulates the optimized power allocation problem in a virtualized scheme considered in the third generation partnership project-long term evolution (3GPP-LTE) uplink (UL) systems. The proposed framework efficiently shares the evolved nodeB's dedicated physical radio resources blocks of service providers having different requirements under dynamic channel conditions. The objective is to minimize the total transmission energy for all users subject to exclusive and contiguous allocation, maximum transmission power, and rate constraints. Two algorithms are developed. A binary integer programming (BIP)-based algorithm is used to solve a simplified version of the problem. A heuristic algorithm is also presented that approaches the BIP-based algorithm's performance. Simulation results show that the proposed framework offers a remarkable transmission power reduction in the virtualized scenario as compared to the non-sharing one.

Original language	English
Title of host publication	2015 IEEE 11th International Conference on Wireless and Mobile Computing, Networking and Communications, WiMob 2015
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	817-824
Number of pages	8
ISBN (Electronic)	9781467377010
DOIs	https://doi.org/10.1109/WiMOB.2015.7348046
State	Published - 4 Dec 2015
Externally published	Yes

Publication series

Name	2015 IEEE 11th International Conference on Wireless and Mobile Computing, Networking and Communications, WiMob 2015

Bibliographical note

Publisher Copyright:
© 2015 IEEE.

Keywords

LTE UL scheduling
efficient power allocation
virtualization

ASJC Scopus subject areas

Computer Networks and Communications

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1109/WiMOB.2015.7348046

Cite this

Hussein, M., Moubayed, A., Primak, S., & Shami, A. (2015). On efficient power allocation modeling in virtualized uplink 3GPP-LTE systems. In 2015 IEEE 11th International Conference on Wireless and Mobile Computing, Networking and Communications, WiMob 2015 (pp. 817-824). Article 7348046 (2015 IEEE 11th International Conference on Wireless and Mobile Computing, Networking and Communications, WiMob 2015). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/WiMOB.2015.7348046

Hussein, Mohamed ; Moubayed, Abdallah ; Primak, Serguei et al. / On efficient power allocation modeling in virtualized uplink 3GPP-LTE systems. 2015 IEEE 11th International Conference on Wireless and Mobile Computing, Networking and Communications, WiMob 2015. Institute of Electrical and Electronics Engineers Inc., 2015. pp. 817-824 (2015 IEEE 11th International Conference on Wireless and Mobile Computing, Networking and Communications, WiMob 2015).

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title = "On efficient power allocation modeling in virtualized uplink 3GPP-LTE systems",

abstract = "In order to accommodate mobile users' consumed power with the rapid increase of multimedia-rich mobile data, additional network capacities with optimized power allocation scheduling algorithms should be deployed. Motivated by the fundamental requirement of extending the mobile devices' battery utilization time per charge, this work formulates the optimized power allocation problem in a virtualized scheme considered in the third generation partnership project-long term evolution (3GPP-LTE) uplink (UL) systems. The proposed framework efficiently shares the evolved nodeB's dedicated physical radio resources blocks of service providers having different requirements under dynamic channel conditions. The objective is to minimize the total transmission energy for all users subject to exclusive and contiguous allocation, maximum transmission power, and rate constraints. Two algorithms are developed. A binary integer programming (BIP)-based algorithm is used to solve a simplified version of the problem. A heuristic algorithm is also presented that approaches the BIP-based algorithm's performance. Simulation results show that the proposed framework offers a remarkable transmission power reduction in the virtualized scenario as compared to the non-sharing one.",

keywords = "LTE UL scheduling, efficient power allocation, virtualization",

author = "Mohamed Hussein and Abdallah Moubayed and Serguei Primak and Abdallah Shami",

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doi = "10.1109/WiMOB.2015.7348046",

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Hussein, M, Moubayed, A, Primak, S & Shami, A 2015, On efficient power allocation modeling in virtualized uplink 3GPP-LTE systems. in 2015 IEEE 11th International Conference on Wireless and Mobile Computing, Networking and Communications, WiMob 2015., 7348046, 2015 IEEE 11th International Conference on Wireless and Mobile Computing, Networking and Communications, WiMob 2015, Institute of Electrical and Electronics Engineers Inc., pp. 817-824. https://doi.org/10.1109/WiMOB.2015.7348046

On efficient power allocation modeling in virtualized uplink 3GPP-LTE systems. / Hussein, Mohamed; Moubayed, Abdallah; Primak, Serguei et al.
2015 IEEE 11th International Conference on Wireless and Mobile Computing, Networking and Communications, WiMob 2015. Institute of Electrical and Electronics Engineers Inc., 2015. p. 817-824 7348046 (2015 IEEE 11th International Conference on Wireless and Mobile Computing, Networking and Communications, WiMob 2015).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

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AU - Hussein, Mohamed

AU - Moubayed, Abdallah

AU - Primak, Serguei

AU - Shami, Abdallah

PY - 2015/12/4

Y1 - 2015/12/4

N2 - In order to accommodate mobile users' consumed power with the rapid increase of multimedia-rich mobile data, additional network capacities with optimized power allocation scheduling algorithms should be deployed. Motivated by the fundamental requirement of extending the mobile devices' battery utilization time per charge, this work formulates the optimized power allocation problem in a virtualized scheme considered in the third generation partnership project-long term evolution (3GPP-LTE) uplink (UL) systems. The proposed framework efficiently shares the evolved nodeB's dedicated physical radio resources blocks of service providers having different requirements under dynamic channel conditions. The objective is to minimize the total transmission energy for all users subject to exclusive and contiguous allocation, maximum transmission power, and rate constraints. Two algorithms are developed. A binary integer programming (BIP)-based algorithm is used to solve a simplified version of the problem. A heuristic algorithm is also presented that approaches the BIP-based algorithm's performance. Simulation results show that the proposed framework offers a remarkable transmission power reduction in the virtualized scenario as compared to the non-sharing one.

AB - In order to accommodate mobile users' consumed power with the rapid increase of multimedia-rich mobile data, additional network capacities with optimized power allocation scheduling algorithms should be deployed. Motivated by the fundamental requirement of extending the mobile devices' battery utilization time per charge, this work formulates the optimized power allocation problem in a virtualized scheme considered in the third generation partnership project-long term evolution (3GPP-LTE) uplink (UL) systems. The proposed framework efficiently shares the evolved nodeB's dedicated physical radio resources blocks of service providers having different requirements under dynamic channel conditions. The objective is to minimize the total transmission energy for all users subject to exclusive and contiguous allocation, maximum transmission power, and rate constraints. Two algorithms are developed. A binary integer programming (BIP)-based algorithm is used to solve a simplified version of the problem. A heuristic algorithm is also presented that approaches the BIP-based algorithm's performance. Simulation results show that the proposed framework offers a remarkable transmission power reduction in the virtualized scenario as compared to the non-sharing one.

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ER -

Hussein M, Moubayed A, Primak S, Shami A. On efficient power allocation modeling in virtualized uplink 3GPP-LTE systems. In 2015 IEEE 11th International Conference on Wireless and Mobile Computing, Networking and Communications, WiMob 2015. Institute of Electrical and Electronics Engineers Inc. 2015. p. 817-824. 7348046. (2015 IEEE 11th International Conference on Wireless and Mobile Computing, Networking and Communications, WiMob 2015). doi: 10.1109/WiMOB.2015.7348046

On efficient power allocation modeling in virtualized uplink 3GPP-LTE systems

Abstract

Publication series

Bibliographical note

Keywords

ASJC Scopus subject areas

UN SDGs

Access to Document

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Cite this