Dynamic Spectrum Sharing Optimization and Post-optimization Analysis with Multiple Operators in Cellular Networks
- Submitting institution
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Birmingham City University
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 11Z_OP_D0063
- Type
- D - Journal article
- DOI
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10.1109/TWC.2017.2782248
- Title of journal
- IEEE Transactions on Wireless Communicatuions
- Article number
- -
- First page
- 1589
- Volume
- 17
- Issue
- 3
- ISSN
- 1536-1276
- Open access status
- Compliant
- Month of publication
- -
- Year of publication
- 2018
- URL
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https://ieeexplore.ieee.org/document/8214972
- 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)
-
-
- Citation count
- 2
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- The paper proposes two optimisation models using stochastic algorithms and providing detailed analysis. The paper argues that with efficient and selective resource allocation, the incumbent operators, who own the spectrum, have the potential to make significant revenues through sub-leasing practice. The paper provides an automated platform to ensure only the unused spectrum is leased. The research has influence beyond academia. It was used to support the OFCOM’s decision to lease local spectrum licenses for 5G & innovation (https://www.ofcom.org.uk/consultations-and-statements/category-1/enabling-opportunities-for-innovation?showall=1). This low cost bandwidth is currently being leased and deployed in indoor environment under strict power limit. (Paper Citations: https://doi.org/10.1109/ACCESS.2019.2896008, 10.15126/THESIS.00851962, 10.1109/VTCFall.2018.8690552).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -