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Energy-efficient robust resource provisioning in virtualized wireless networks

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conference contribution
posted on 13.05.2016 by Vikas Jumba, Saeedeh Parsaeefard, Mahsa Derakhshani, Tho Le-Ngoc
© 2015 IEEE. This paper proposes a robust resource allocation approach in virtualized wireless networks (VWNs) to address the uncertainty in channel state information (CSI) at the base station (BS) due to estimation error and mobility of users. In this set-up, the resources of an OFDMA-based wireless network are shared among different slices where the minimum reserved rate is considered as the quality-of-service (QoS) requirement of each slice. We formulate the robust resource allocation problem against the worst-case CSI uncertainty, aiming to maximize the overall energy efficiency (EE) of VWN in terms of a newly defined slice utility function. Uncertain CSI is modeled as the sum of its true estimated value and an error assumed to be bounded in a specific uncertainty region. The formulated problem suffers from two major issues: computational complexity and energy-efficiency degradation due to the considered error in the maximum extent. To deal with these issues, we consider a specific form of uncertainty region to solve the robust resource allocation problem via an iterative algorithm. The simulation results demonstrate the effectiveness of the proposed algorithms.

History

School

  • Mechanical, Electrical and Manufacturing Engineering

Published in

2015 IEEE International Conference on Ubiquitous Wireless Broadband, ICUWB 2015

Citation

JUMBA, V. ...et al., 2015. Energy-efficient robust resource provisioning in virtualized wireless networks. Presented at the 2015 IEEE International Conference on Ubiquitous Wireless Broadband, (ICUWB 2015), Montreal, Canada, 4–7th. Oct.

Publisher

© IEEE

Version

AM (Accepted Manuscript)

Publisher statement

This work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/

Publication date

2015

Notes

(c) 2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, 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 components of this work in other works

ISBN

9781467365550

Language

en

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