NOMA-Based Resource Allocation and Mobility Enhancement Framework for IoT in Next Generation Cellular Networks
- Submitting institution
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Birmingham City University
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 11Z_OP_D2022
- Type
- D - Journal article
- DOI
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10.1109/ACCESS.2019.2896008
- Title of journal
- IEEE Access
- Article number
- -
- First page
- 29158
- Volume
- 7
- Issue
- -
- ISSN
- 2169-3536
- Open access status
- Compliant
- Month of publication
- -
- 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
-
-
- Research group(s)
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- Citation count
- 8
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This paper has addressed the characteristics of the next generation of cellular networks with non-orthogonal multiple access (NOMA) to enable connectivity to clustered IoT-devices. This work has led to various important international research outputs reported in IEEE Access journal papers (DOI: 10.1109/ACCESS.2019.2909490,DOI: 10.1109/ACCESS.2019.2946600). The insightful results of this paper have influenced several research projects. Notably, the projects that supported by the National Natural Science Foundation of China (No. 41904078, 61771070 and 61671088) DOI:10.1155/2020/3812826, DOI: 10.1002/dac.4174). Other key papers gained knowledge from this article and use the reported results as a benchmark for their evaluation include DOI: 10.1109/AICCSA47632.2019.9035369,DOI: 10.1109/JIOT.2021.3050990,and DOI: 10.1109/TVT.2020.3038387.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -