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Please use this identifier to cite or link to this item: https://dspace.lboro.ac.uk/2134/21342

Title: Adaptive pilot-duration and resource allocation in virtualized wireless networks with massive MIMO
Authors: Dawadi, Rajesh
Parsaeefard, Saeedeh
Derakhshani, Mahsa
Le-Ngoc, Tho
Keywords: Computer networks
Massive multiple-input multiple-output
Pilot contamination error
Virtualized wireless networks
Issue Date: 2016
Publisher: © IEEE
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, [in press].
Abstract: 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.
Description: This item will remain closed access until after the date of its commercial publication.
Version: Accepted for publication
URI: https://dspace.lboro.ac.uk/2134/21342
Publisher Link: http://ieeexplore.ieee.org/Xplore/home.jsp
Appears in Collections:Closed Access (Mechanical, Electrical and Manufacturing Engineering)

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