Energy efficient inter-frequency small cell discovery in heterogeneous networks
- Submitting institution
-
University of Glasgow
- Unit of assessment
- 12 - Engineering
- Output identifier
- 12-04733
- Type
- D - Journal article
- DOI
-
10.1109/TVT.2015.2482818
- Title of journal
- IEEE Transactions on Vehicular Technology
- Article number
- -
- First page
- 7122
- Volume
- 65
- Issue
- 9
- ISSN
- 0018-9545
- Open access status
- Out of scope for open access requirements
- Month of publication
- September
- Year of publication
- 2015
- URL
-
http://eprints.gla.ac.uk/132685/
- Supplementary information
-
-
- 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
-
3
- Research group(s)
-
-
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This paper analytically solves small cell discovery problem and presents the optimum periodicity for small cell discovery to minimise energy consumption and maximise bit per joule capacity. It enabled key tutorials in flagship IEEE events (IEEE PIMRC’17:TU-01@ https://pimrc2017.ieee-pimrc.org/program/tutorials-2/ and IEEE ICCC’17:TT10@ https://icc2017.ieee-icc.org/program/tutorials.html#TT10 ). The results underpinned further successful funding (£1.2m EPSRC-EP/P028764/1, Huawei China, Scotland 5G Centre £8M https://scotland5gcentre.org). The paper led to advisory support for setting up a 5G testbed in USA via NSF grants (NSF USA $0.5M NSF#1619346 at Oklahoma University).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
