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Title: Delay-aware and power-efficient resource allocation in virtualized wireless networks
Authors: Parsaeefard, Saeedeh
Jumba, Vikas
Derakhshani, Mahsa
Le-Ngoc, Tho
Keywords: Delay-aware resource provisioning
Virtualized wireless networks
Computer networks
Issue Date: 2016
Publisher: © IEEE
Citation: PARASEEFARD, S. ... et al., 2016. Delay-aware and power-efficient resource allocation in virtualized wireless networks. IN: Proceedings of 2016 IEEE Wireless Communications and Networking Conference (WCNC), 3-6 April 2016, DOI: 10.1109/WCNC.2016.7564648
Abstract: This paper proposes a delay-aware resource provisioning policy for virtualized wireless networks (VWNs) to minimize the total average transmit power while holding the minimum required average rate of each slice and maximum average packet transmission delay for each user. The proposed cross-layer optimization problem is inherently non-convex and has high computational complexity. To develop an efficient solution, we first transform cross-layer dependent constraints into physical layer dependent ones. Afterwards, we apply different convexification techniques based on variable transformations and relaxations, and propose an iterative algorithm to reach the optimal solution. Simulation results illustrate the effects of the required average packet transmission delay and minimum average slice rate on the total transmission power in VWN.
Description: © 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Version: Accepted for publication
DOI: 10.1109/WCNC.2016.7564648
URI: https://dspace.lboro.ac.uk/2134/21334
Publisher Link: http://dx.doi.org/10.1109/WCNC.2016.7564648
Appears in Collections:Conference Papers and Contributions (Mechanical, Electrical and Manufacturing Engineering)

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