NDLI: Robust user scheduling with COST 2100 channel model for massive MIMO networks

Content Provider	IET Digital Library
Author	Bashar, Manijeh Burr, Alister Haneda, Katsuyuki Cumanan, Kanapathippillai
Abstract	The problem of user scheduling with reduced overhead of channel estimation in the uplink of massive multiple-input multiple-output (MIMO) systems has been investigated. The authors consider the COST 2100 channel model. In this paper, they first propose a new user selection algorithm based on knowledge of the geometry of the service area and location of clusters, without having full channel state information at the BS. They then show that the correlation in geometry-based stochastic channel models (GSCMs) arises from the common clusters in the area. In addition, exploiting the closed-form Cramer–Rao lower bounds, the analysis for the robustness of the proposed scheme to cluster position errors is presented. It is shown by analysing the capacity upper bound that the capacity strongly depends on the position of clusters in the GSCMs and users in the system. Simulation results show that though the BS receiver does not require the channel information of all users, by the proposed geometry-based user scheduling algorithm the sum rate of the system is only slightly less than the well known greedy weight clique scheme.
Starting Page	1786
Ending Page	1792
Page Count	7
ISSN	17518725
Volume Number	12
e-ISSN	17518733
Issue Number	Issue 11, Sep (2018)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-map/12/11
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-map.2017.0332
Journal	IET Microwaves, Antennas & Propagation
Publisher	The Institution of Engineering and Technology
Publisher Date	2018-04-19
Access Restriction	Open
Rights License	Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/)
Subject Keyword	Channel Estimation Closed-form Cramer–Rao Lower Bounds Combinatorial Mathematics Communication Channel Equalisation And Identification COST 2100 Channel Model Frequency Division Duplex Mode Geometry Geometry-based Stochastic Channel Model Massive MIMO Network Massive Multiple-input-multiple-output Network MIMO Communication Radio Link And Equipment Robust User Scheduling Statistical Analysis Statistics
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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