A successive optimization approach to pilot design for multi-cell massive MIMO systems
- Submitting institution
-
Middlesex University
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 1507
- Type
- D - Journal article
- DOI
-
10.1109/LCOMM.2018.2812891
- Title of journal
- IEEE Communications Letters
- Article number
- -
- First page
- 1086
- Volume
- 22
- Issue
- 5
- ISSN
- 1089-7798
- Open access status
- Compliant
- Month of publication
- March
- Year of publication
- 2018
- URL
-
http://eprints.mdx.ac.uk/23863/
- 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)
-
-
- Citation count
- 12
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This paper tackles a challenging problem in 5G networks, the pilot contamination problem in multi-cell massive multiple-input multiple-output systems. This letter is significant because it introduces a novel pilot design approach that minimizes the total mean square errors of the minimum mean square error estimators of all base stations subject to the transmit power constraints of individual users in the network. Furthermore, it proposes a distributed and successive optimization approach to transform the original non-convex problem into convex sub-problems. Simulation results confirm the fast convergence of the proposed approach while providing higher accuracy.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -