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/lp/inderscience-publishers/performance-analysis-of-channel-estimation-techniques-for-5g-massive-49ZyWin08Z
- Publisher
- Inderscience Publishers
- Copyright
- Copyright © Inderscience Enterprises Ltd
- ISSN
- 1755-9340
- eISSN
- 1755-9359
- DOI
- 10.1504/ijscc.2023.129915
- Publisher site
- See Article on Publisher Site
Abstract
Massive MIMO systems are now being developed for the 5G requirement, combining the OFDM technology to provide very high data rates in a frequency selective fading channel. The data rate and latency play an essential part in the construction of 5G standards. The channel estimation (CE) is critical in a massive MIMO OFDM system. However, the latency may be more traditional channel estimators like least squares (LS) and minimum mean square error (MMSE) estimators because it involves matrix inversion. The proposed system uses the QR decomposition orthogonal matching pursuit (QRDOMP) channel estimation method, which does not involve matrix inverse. After channel estimation, different linear equalisation techniques such as MMSE and AMP are used to detect the signal. In this paper, the BER and latency performance of the proposed system with various channel estimation techniques (LS, MMSE, and QRDOMP) using AMP equalisation is analysed in comparison to that of the MMSE equalisation.
Journal
International Journal of Systems Control and Communications – Inderscience Publishers
Published: Jan 1, 2023