Non-orthogonal multiple access in large-scale heterogeneous networks
- Submitting institution
-
Imperial College of Science, Technology and Medicine
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 2298
- Type
- D - Journal article
- DOI
-
10.1109/JSAC.2017.2726718
- Title of journal
- IEEE Journal on Selected Areas in Communications
- Article number
- -
- First page
- 2667
- Volume
- 35
- Issue
- 12
- ISSN
- 0733-8716
- Open access status
- Other exception
- Month of publication
- July
- Year of publication
- 2017
- URL
-
-
- Supplementary information
-
10.1109/JSAC.2017.2726718
- 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
-
4
- Research group(s)
-
-
- Citation count
- 100
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- We propose the new hybrid HetNets framework with NOMA enhanced small cells and massive MIMO aided macro cells, which contributes to the design of future 5G systems. These techniques inspired further, more practical work specifically for IoT-based systems using low-power/resources, e.g. producing the paper on "Resource Efficiency in Low-power Wide Area Networks for IoT applications" that won the Best Paper award at Globecom'17 (https://ieeexplore.ieee.org/abstract/document/8254800).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
