A Unified Spatial Framework for UAV-Aided MmWave Networks
- Submitting institution
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Queen Mary University of London
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 534
- Type
- D - Journal article
- DOI
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10.1109/TCOMM.2019.2945332
- Title of journal
- IEEE Transactions on Communications
- Article number
- -
- First page
- 8801
- Volume
- 67
- Issue
- 12
- ISSN
- 0090-6778
- Open access status
- Compliant
- Month of publication
- December
- Year of publication
- 2019
- URL
-
-
- 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
- 10
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Output from EPSRC EP/N029720/2 and EP/N029720/1 worth £312k. Analytical framework for UAV-aided networks providing 3D blockage process and 3D up-tilted antenna model to characterise the impact of UAVs' altitudes and positions. It presents findings about UAV network deployment in relation to inter-cluster interference, NLOS, thermal noise and mmWave communications. A collaboration with Professor Karagiannidis (Director of Digital Telecommunications Systems and Networks Laboratory, Greece). The RA who worked in this mmWave project became lecturer at EECS and secured a £130k grant from Huawei (Project 1917468: Multi-cell NOMA Project, 2020).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -