Resource management and inter-cell-interference coordination in LTE uplink system using random neural network and optimization
- Submitting institution
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Glasgow Caledonian University
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 33317546
- Type
- D - Journal article
- DOI
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10.1109/ACCESS.2015.2489865
- Title of journal
- IEEE Access
- Article number
- -
- First page
- 1963
- Volume
- 3
- Issue
- -
- ISSN
- 2169-3536
- Open access status
- Out of scope for open access requirements
- Month of publication
- October
- Year of publication
- 2015
- 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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2
- Research group(s)
-
-
- Citation count
- 8
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- The paper proposes a new method for resources allocation in future 5g networks based on random neural networks. The novel approach has been adopted in many other research teams and disciplines. Mobility prediction Glasgow University (Metin Ozturk et al Neurocomputing Vol 358 2019), Hearing aids (Ahsan Adeel et al, Cognitive Computation (2019)) and Brain modelling (Newton Howard et al. Frontiers in Computational Neuroscience March 2020).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -