Performance Analysis of Cell-Free Massive MIMO Systems: A Stochastic Geometry Approach
- Submitting institution
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University of Hertfordshire
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 19775254
- Type
- D - Journal article
- DOI
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10.1109/TVT.2020.2970018
- Title of journal
- IEEE Transactions on Vehicular Technology
- Article number
- 8972478
- First page
- 3523
- Volume
- 69
- Issue
- 4
- ISSN
- 0018-9545
- Open access status
- Compliant
- Month of publication
- January
- Year of publication
- 2020
- URL
-
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- Supplementary information
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- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
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4
- Research group(s)
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-
- Citation count
- 6
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- The research outputs presented in this paper were produced in collaboration with M. Di Renzo of Paris-Saclay University-CNRS, CentraleSupélec. This work was in addition supported in part by Luxembourg's National Research Fund (FNR) through the CORE projects ECLECTIC, DISBUS and 5G-SKY led by the University of Luxembourg.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -