Downlink Training Overhead Reduction Technique for FDD Massive MIMO Systems
SCIE
SCOPUS
- Title
- Downlink Training Overhead Reduction Technique for FDD Massive MIMO Systems
- Authors
- CHOI, JUNIL; MAYOUCHE, ABDERRAHMANE; METREF, ADEL
- Date Issued
- 2018-08
- Publisher
- IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
- Abstract
- In this letter, a novel minimum mean square error (MSE) based channel estimation framework is proposed to reduce the downlink channel training overhead in frequency division duplexing massive multiple-input multiple-output systems, where the overhead reduction is achieved through training only a subset of antennas and by exploiting the spatial correlation between the antennas at the base station. Closed-form expressions of the analytical MSE and the asymptotic MSE of the system are obtained. Furthermore, a perfect match between theoretical and simulation results is observed, where the channel training overhead can be reduced by half with an acceptable performance.
- Keywords
- Antennas; Cost reduction; Frequency division multiplexing; Frequency estimation; Mean square error; MIMO systems; Acceptable performance; Closed-form expression; Frequency division duplexing; Massive MIMO; Massive multiple-input- multiple-output system (MIMO); Mean Square Error (MSE); Minimum Mean Square Error (MMSE); Spectral efficiencies; Channel estimation
- URI
- https://oasis.postech.ac.kr/handle/2014.oak/92156
- DOI
- 10.1109/LSP.2018.2847560
- ISSN
- 1070-9908
- Article Type
- Article
- Citation
- IEEE SIGNAL PROCESSING LETTERS, vol. 25, no. 8, page. 1201 - 1205, 2018-08
- Files in This Item:
- There are no files associated with this item.
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.