Back to Search
Start Over
MIMO iterative receiver SNR estimation strategies for link to system interfacing.
- Source :
-
International Journal of Communication Systems . Apr2020, Vol. 33 Issue 6, p1-16. 16p. - Publication Year :
- 2020
-
Abstract
- Summary: This paper presents link to system (L2S) interfacing technique for multiple input and multiple output (MIMO) iterative receivers. In L2S interfacing, usually the post detection signal to noise ratio (SNR)‐based frame error rate lookup tables (LUT) are used to predict the link level performance of receivers. While L2S interfacing for linear MIMO receivers can be conveniently implemented, it is more challenging for MIMO iterative receivers due to unavailability of the closed form SNR expressions. In this paper, we propose three methods for post detection SNR estimation for MIMO iterative receivers. The first is based on the QR decomposition of the channel matrix, the second relies on the residual noise calculation based on the soft symbols, and the third exploits the closed form SNR expressions for linear receivers. A link to system interface model for iterative receivers is developed for evaluating the reference curves for different modulation and coding schemes, and results are validated by comparing the simulated and predicted frame error rates. It is shown that linear and residual noise‐based SNR approximations result in a very good prediction performance whereas the performance of QR decomposition‐based method degrades for higher order modulations and coding schemes. This paper presents link to system interfacing technique for MIMO iterative receivers. A link to system interface model for iterative receivers is developed for evaluating the reference curves for different modulation and coding schemes, and results are validated by comparing the simulated and predicted frame error rates. Three post detection SNR evaluation schemes have been proposed for link to system interfacing all of which give good prediction performance especially at lower order modulation. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 10745351
- Volume :
- 33
- Issue :
- 6
- Database :
- Academic Search Index
- Journal :
- International Journal of Communication Systems
- Publication Type :
- Academic Journal
- Accession number :
- 142060645
- Full Text :
- https://doi.org/10.1002/dac.4303