Power allocation for D2D communications using max-min message-passing algorithm
- Submitting institution
-
Kingston University
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 11-38-1370
- Type
- D - Journal article
- DOI
-
10.1109/TVT.2020.2995534
- Title of journal
- IEEE Transactions on Vehicular Technology
- Article number
- -
- First page
- 8443
- Volume
- 69
- Issue
- -
- ISSN
- 0018-9545
- Open access status
- Compliant
- Month of publication
- -
- Year of publication
- 2020
- 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
-
-
- Research group(s)
-
-
- Citation count
- 0
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Device-to-Device (D2D) communication is one of the key elements of 5G and this paper solves the important and complex problem of power allocation and user pairing, using the approach of factor-graphs. The associated message-passing (MP) algorithm solves the resultant NP-hard maximization problem with a guaranteed convergence compared to game theoretic and Q-learning based methods. The scheme outperforms alternative algorithms in terms of complexity, while keeping the sum-rate of users nearly the same as centralized counterpart methods.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -