Loughborough University
Leicestershire, UK
LE11 3TU
+44 (0)1509 263171
Loughborough University

Loughborough University Institutional Repository

Please use this identifier to cite or link to this item: https://dspace.lboro.ac.uk/2134/25569

Title: Dynamic resource allocation for virtualized wireless networks in massive-MIMO-aided and Front-haul-Limited C-RAN
Authors: Parsaeefard, Saeedeh
Dawadi, Rajesh
Derakhshani, Mahsa
Le-Ngoc, Tho
Baghani, Mina
Keywords: Cloud-RAN
Complementary geometric programming
5G
Virtualized wireless networks
Massive MIMO
Issue Date: 2017
Publisher: © IEEE
Citation: PARSAEEFARD, S. ...et al., 2017. Dynamic resource allocation for virtualized wireless networks in massive-MIMO-aided and Front-haul-Limited C-RAN. IEEE Transactions on Vehicular Technology, In Press.
Abstract: This work considers the uplink dynamic resource allocation in a cloud radio access network (C-RAN) serving users belonging to different service providers (called slices) to form virtualized wireless networks (VWN). In particular, the C-RAN supports a pool of base-station (BS) baseband units (BBUs), which are connected to BS radio remote heads (RRHs) equipped with massive MIMO, via fronthaul links with limited capacity. Assuming that each user can be assigned to a single RRH-BBU pair, we formulate a resource allocation problem aiming to maximize the total system rate, constrained on the minimum rates required by the slices and the maximum number of antennas and power allocated to each user. The effects of pilot contamination error on the VWN performance are investigated and pilot duration is considered as a new optimization variable in resource allocation. This problem is inherently non-convex, NP-hard and thus computationally inefficient. By applying the successive convex approximation (SCA) and complementary geometric programming (CGP) approach, we propose a twostep iterative algorithm: one to adjust the RRH, BBU, and fronthaul parameters, and the other for power and antenna allocation to users. Simulation results illustrate the performance of the developed algorithm for VWNs in a massive-MIMO-aided and fronthaul-limited C-RAN, and demonstrate the effects of imperfect CSI estimation due to pilot contamination error, and the optimal pilot duration.
Description: (c) 2017 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.
Sponsor: This work was supported in part by a Natural Sciences and Engineering Research Council of Canada (NSERC) Collaborative RD Grant with Huawei Technologies Canada, and by Project 907950200 in ITRC.
Version: Accepted for publication
DOI: 10.1109/TVT.2017.2712669
URI: https://dspace.lboro.ac.uk/2134/25569
Publisher Link: https://doi.org/10.1109/TVT.2017.2712669
ISSN: 0018-9545
Appears in Collections:Published Articles (Mechanical, Electrical and Manufacturing Engineering)

Files associated with this item:

File Description SizeFormat
Final_Version.pdfAccepted version1.58 MBAdobe PDFView/Open

 

SFX Query

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.