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Information-Theoretic Analysis and Performance Evaluation of Optimal Demappers for Multi-Layer Broadcast Systems.
- Source :
-
IEEE Transactions on Broadcasting . Dec2018, Vol. 64 Issue 4, p781-790. 10p. - Publication Year :
- 2018
-
Abstract
- Multi-layer broadcast systems distribute services across time and frequency domain by means of power-division multiplexing. Successive interference cancelation is required, in general, in order to extract the content of all services. For a low-complexity implementation, the receiver can obtain the strongest (top-layer) signal assuming underlying signals to behave like thermal noise. The thermal noise assumption may not be valid under certain conditions and a more accurate characterization of the interference could bring improved performance. This paper analyzes the validity of the noise-like assumption considering the power ratio between signals and the required carrier-to-noise ratio for error-free reception. The main contribution of the paper is the proposal of a demapping algorithm that exploits the knowledge of the constellation of underlying signals. Generalized mutual information, performance evaluation, and complexity analysis are provided with the additive white Gaussian noise-like assumptions and with the proposed alternative in order to assess the potential performance improvements that can be achieved. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 00189316
- Volume :
- 64
- Issue :
- 4
- Database :
- Academic Search Index
- Journal :
- IEEE Transactions on Broadcasting
- Publication Type :
- Academic Journal
- Accession number :
- 133501420
- Full Text :
- https://doi.org/10.1109/TBC.2018.2799300