Advanced techniques for spectrally efficient DVB-S2X systems

We investigate different techniques to improve the spectral efficiency of systems based on the DVB-S2 standard, when the transmitted signal bandwidth cannot be increased because it has already been optimized to the maximum value allowed by transponder filters. We will investigate and compare several techniques to involve different sections of the transceiver scheme. The techniques that will be considered include the use of advanced detection algorithms, the adoption of time packing, and the optimization of the constellation and shaping pulses. The LDPC codes recently proposed for the evolution of the DVB-S2 standard will be considered, as well as the adoption of iterative detection and decoding. Information theoretical analysis will be followed by the study of practical modulation and coding schemes.

[1]  Fredrik Rusek,et al.  Faster-Than-Nyquist Signaling , 2013, Proceedings of the IEEE.

[2]  Giulio Colavolpe,et al.  Channel Shortening for Nonlinear Satellite Channels , 2012, IEEE Communications Letters.

[3]  John Cocke,et al.  Optimal decoding of linear codes for minimizing symbol error rate (Corresp.) , 1974, IEEE Trans. Inf. Theory.

[4]  Andrea Modenini,et al.  Advanced transceivers for spectrally-efficient communications , 2014, ArXiv.

[5]  Fredrik Rusek,et al.  The two dimensional Mazo limit , 2005, Proceedings. International Symposium on Information Theory, 2005. ISIT 2005..

[6]  Guido Montorsi,et al.  Constellation design for transmission over nonlinear satellite channels , 2012, 2012 IEEE Global Communications Conference (GLOBECOM).

[7]  Costas N. Georghiades,et al.  Exploiting faster-than-Nyquist signaling , 2003, IEEE Trans. Commun..

[8]  Giulio Colavolpe,et al.  Novel SISO Detection Algorithms for Nonlinear Satellite Channels , 2011, IEEE Wireless Communications Letters.

[9]  Sergio Benedetto,et al.  Digital Transmission Theory , 1987 .

[10]  Stefano Cioni,et al.  Bandwidth Optimization for Satellite Digital Broadcasting , 2013 .

[11]  Hikmet Sari,et al.  Analysis of predistortion, equalization, and ISI cancellation techniques in digital radio systems with nonlinear transmit amplifiers , 1989, IEEE Trans. Commun..

[12]  Giulio Colavolpe,et al.  Novel SISO Detection Algorithms for Nonlinear Satellite Channels , 2012, 2011 IEEE Global Telecommunications Conference - GLOBECOM 2011.

[13]  Giulio Colavolpe,et al.  Improving the Spectral Efficiency of Nonlinear Satellite Systems through Time-Frequency Packing and Advanced Processing , 2013, ArXiv.

[14]  Paul H. Siegel,et al.  Determining and Approaching Achievable Rates of Binary Intersymbol Interference Channels Using Multistage Decoding , 2007, IEEE Transactions on Information Theory.

[15]  Giulio Colavolpe,et al.  Improving the Spectral Efficiency of Nonlinear Satellite Systems through Time-Frequency Packing and Advanced Receiver Processing , 2013, IEEE Transactions on Communications.

[16]  Henry J. Landau,et al.  On the minimum distance problem for faster-than-Nyquist signaling , 1988, IEEE Trans. Inf. Theory.

[17]  Dario Fertonani,et al.  Time-frequency packing for linear modulations: spectral efficiency and practical detection schemes , 2009, IEEE Transactions on Communications.

[18]  Stephan ten Brink,et al.  Designing Iterative Decoding Schemes with the Extrinsic Information Transfer Chart , 2001 .

[19]  Shlomo Shamai,et al.  On information rates for mismatched decoders , 1994, IEEE Trans. Inf. Theory.

[20]  Giulio Colavolpe,et al.  How to significantly improve the spectral efficiency of linear modulations through time-frequency packing and advanced processing , 2012, 2012 IEEE International Conference on Communications (ICC).

[21]  Riccardo De Gaudenzi,et al.  DVB‐S2 modem algorithms design and performance over typical satellite channels , 2004, Int. J. Satell. Commun. Netw..

[22]  Wei Zeng,et al.  Simulation-Based Computation of Information Rates for Channels With Memory , 2006, IEEE Transactions on Information Theory.