Derakhshani_WCL2015-0037.pdf (354.57 kB)
Download file

Resource provisioning in wireless virtualized networks via massive-MIMO

Download (354.57 kB)
journal contribution
posted on 13.05.2016, 14:38 by Vikas Jumba, Saeedeh Parsaeefard, Mahsa DerakhshaniMahsa Derakhshani, Tho Le-Ngoc
© 2015 IEEE. This letter proposes a dynamic resource provisioning scheme for an OFDMA wireless virtualized network (WVN), where one base-station equipped with a large number of antennas serves users belonging to a number of service providers via different slices. In particular, joint power, sub-carrier, and antenna allocation problems are presented for both perfect and imperfect channel knowledge cases, aiming to maximize a sum-utility while maintaining a minimum rate per slice. Subsequently, relaxation and variable transformation are applied to develop the efficient algorithm to solve the formulated non-convex, combinational optimization problem. Simulation results reveal the benefits of applying a large number of antennas in this setup and evaluate the network performance for different system conditions.

History

School

  • Mechanical, Electrical and Manufacturing Engineering

Published in

IEEE Wireless Communications Letters

Volume

4

Issue

3

Pages

237 - 240

Citation

JUMBA, V. ...et al., 2015. Resource provisioning in wireless virtualized networks via massive-MIMO. IEEE Wireless Communications Letters, 4(3), pp. 237-240.

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.

ISSN

2162-2337

eISSN

2162-2345

Language

en

Usage metrics

Keywords

Exports