'Institute of Electrical and Electronics Engineers (IEEE)'
Doi
Abstract
(c) 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this[EN] 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.This work was supported by in part by the Ministerio de Educacion y Ciencia, Spain under Grant TEC2014-56483-R, and in part by the European FEDER Funds.Garro, E.; Gimenez Gandia, JJ.; Klenner, P.; Gomez-Barquero, D. (2018). Information-Theoretic Analysis and Performance Evaluation of Optimal Demappers for Multi-Layer Broadcast Systems. IEEE Transactions on Broadcasting. 64(4):781-790. https://doi.org/10.1109/TBC.2018.2799300S78179064
