CSI Partitioning Method with PCA-Based Compression for Low-Complexity Feedback of Large-Dimensional Channels
- Authors
- Joung, Jingon; Kurniawan, Ernest
- Issue Date
- Mar-2017
- Publisher
- IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
- Keywords
- Codebook; compression; PCA; feedback; massive MIMO
- Citation
- IEEE COMMUNICATIONS LETTERS, v.21, no.3, pp 544 - 547
- Pages
- 4
- Journal Title
- IEEE COMMUNICATIONS LETTERS
- Volume
- 21
- Number
- 3
- Start Page
- 544
- End Page
- 547
- URI
- https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/4752
- DOI
- 10.1109/LCOMM.2016.2631472
- ISSN
- 1089-7798
1558-2558
- Abstract
- This letter considers a codebook-based channel state information (CSI) feedback technique for large-dimensional channels, e.g., massive multiple-input multiple-output (MIMO) channels. We propose a CSI partitioning method, focus on the search complexity required in order to obtain the best beamforming vector, and investigate the tradeoff between the complexity and the performance. Then, we present an analytical framework that provides design guidelines for balancing the complexity, performance, and feedback overhead of practical large-scale MIMO systems.
- Files in This Item
- There are no files associated with this item.
- Appears in
Collections - College of ICT Engineering > School of Electrical and Electronics Engineering > 1. Journal Articles
![qrcode](https://api.qrserver.com/v1/create-qr-code/?size=55x55&data=https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/4752)
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.