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Adaptive pilot-duration and resource allocation in virtualized wireless networks with massive MIMO

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conference contribution
posted on 24.05.2016, 11:46 by Rajesh Dawadi, Saeedeh Parsaeefard, Mahsa DerakhshaniMahsa Derakhshani, Tho Le-Ngoc
This paper investigates the resource allocation problem for a virtualized wireless network (VWN) in which each base station (BS) is equipped with a large number of antennas and due to the pilot contamination error, the perfect estimation of channel state information (CSI) is not available. In this case, the duration of pilot sequence transmission plays a critical role on the achieved VWN throughput. Therefore, we consider this parameter as a new optimization variable and propose a novel utility function for the resource allocation problem. The proposed optimization problem is non-convex with high computational complexity. To address this issue, by applying relaxation and variable transformation techniques, we propose a two-step iterative algorithm in which the allocation of power, sub-carrier and number of antennas is first established and then used to optimize the pilot duration. Simulation results reveal that proper pilot duration design improves the VWN performance.

History

School

  • Mechanical, Electrical and Manufacturing Engineering

Published in

IEEE Wireless Communications and Networking Conference (WCNC)

Citation

DAWADI, R. ... et al., 2016. Adaptive pilot-duration and resource allocation in virtualized wireless networks with massive MIMO. IN: Proceedings of 2015 IEEE Wireless Communications and Networking Conference Workshops (WCNCW 2015), Doha, Qatar.

Publisher

© IEEE

Version

AM (Accepted Manuscript)

Publication date

2016

Notes

© 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.

ISBN

9781467398152

ISSN

1558-2612

Language

en

Location

Doha, Qatar