Analysis and optimization of sparse random linear network coding for reliable multicast services
- Submitting institution
-
The University of Lancaster
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 154510060
- Type
- D - Journal article
- DOI
-
10.1109/TCOMM.2015.2503398
- Title of journal
- IEEE Transactions on Communications
- Article number
- -
- First page
- 285
- Volume
- 64
- Issue
- 1
- ISSN
- 0090-6778
- Open access status
- Out of scope for open access requirements
- Month of publication
- November
- Year of publication
- 2015
- URL
-
-
- 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
-
2
- Research group(s)
-
A - Communications
- Citation count
- 29
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Building on our previous work on multimedia multicasting this paper proposes a method for reducing the decoding complexity of power-constrained receivers (e.g. battery-operated IoT devices) in exchange for a small increase in power consumption at the transmitter, without compromising quality. The research drew expertise from, but also inspired, the Danish team behind ‘kodo’, a software library for designing multicast protocols, and Chocolate Cloud, a start-up focusing on cloud storage. Since its publication, the paper has been repeatedly cited by researchers from the 5G Lab at TU Dresden, the Australian National University and the universities of Aalborg and Bristol.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
