Analysis of channel uncertainty in ARQ relay networks
- Submitting institution
-
University of Sussex
- Unit of assessment
- 12 - Engineering
- Output identifier
- 9832_74913
- Type
- D - Journal article
- DOI
-
10.1371/journal.pone.0190622
- Title of journal
- PLoS ONE
- Article number
- -
- First page
- 1
- Volume
- 13
- Issue
- 1
- ISSN
- 1932-6203
- Open access status
- Compliant
- Month of publication
- January
- Year of publication
- 2018
- URL
-
https://doi.org/10.1371/journal.pone.0190622
- 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
-
5
- Research group(s)
-
-
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This research presents a system model for cooperative relay networks when complete channel state information is unavailable, as is the case in practice. An automatic repeat request (ARQ) mechanism framework is considered to increase the robustness of the communication to channel imperfections. A rigorous analysis is presented to estimate the end-to-end signal-to-noise ratio for a relay network with imperfect knowledge and ideal coding together with ARQ. Full simulations have been conducted assessing the impact of channel uncertainties and how these can be mitigated by the ARQ approach and clearly demonstrate its robustness in the face of channel uncertainties. User Pakistan-MOD
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
