DPC-Based Hierarchical Broadcasting: Design and Implementation

This paper discusses interference precancellation in digital hierarchical broadcasting (HB). In particular, we present the principles and implementation of structured dirty paper coding (SDPC) that approaches the capacity limit of dirty paper coding in multilayer broadcasting. As an alternative to Tomlinson-Harashima precoding (THP), SDPC eliminates the significant performance loss suffered by THP in the low signal-to-noise ratio (SNR) regime due to the modulo operation. The key idea behind the SDPC scheme is the exploitation of the modulation structure of interference, thereby simplifying the demodulation process in hierarchical reception. We exemplify the SDPC technique by implementing an SDPC-based HB system on a real-time test bed. The experimental results show that SDPC delivers the performance of ldquosuperposition coding with successive interference cancellationrdquo without extra computation or memory requirements at the receiver side.

[1]  A. Paulraj,et al.  Diversity and outage performance in space-time block coded Ricean MIMO channels , 2005, IEEE Transactions on Wireless Communications.

[2]  Amos Lapidoth,et al.  The Gaussian watermarking game , 2000, IEEE Trans. Inf. Theory.

[3]  G. David Forney,et al.  Multidimensional constellations. I. Introduction, figures of merit, and generalized cross constellations , 1989, IEEE J. Sel. Areas Commun..

[4]  Mohamed-Slim Alouini,et al.  Hierarchical modulations for multimedia and multicast transmission over fading channels , 2003, The 57th IEEE Semiannual Vehicular Technology Conference, 2003. VTC 2003-Spring..

[5]  Shlomo Shamai,et al.  Nested linear/Lattice codes for structured multiterminal binning , 2002, IEEE Trans. Inf. Theory.

[6]  Geoffrey Ye Li,et al.  Performance of Alamouti transmit diversity over time-varying Rayleigh-fading channels , 2004, IEEE Transactions on Wireless Communications.

[7]  Abbas Jamalipour,et al.  Wireless communications , 2005, GLOBECOM '05. IEEE Global Telecommunications Conference, 2005..

[8]  Chau Yuen,et al.  WLCp1-13: How to Gain 1.5 dB in Vector Precoding , 2006, IEEE Globecom 2006.

[9]  Wei Yu,et al.  Trellis and convolutional precoding for transmitter-based interference presubtraction , 2005, IEEE Transactions on Communications.

[10]  Prof.Dr.-Ing. Ulrich Reimers Digital Video Broadcasting (DVB) , 2001, Springer Berlin Heidelberg.

[11]  J. Cioffi,et al.  Achievable rates for Tomlinson-Harashima precoding , 1995, Proceedings of 1995 IEEE International Symposium on Information Theory.

[12]  S. Brink,et al.  Approaching the Dirty Paper Limit for Canceling Known Interference , 2003 .

[13]  Antonio Ortega,et al.  Multiresolution broadcast for digital HDTV using joint source-channel coding , 1992, [Conference Record] SUPERCOMM/ICC '92 Discovering a New World of Communications.

[14]  Desmond P. Taylor,et al.  Characterization of Randomly TimeVariant Linear Channels , 2007 .

[15]  U. Reimers The DVB project-digital television for Europe , 1995 .

[16]  Shlomo Shamai,et al.  Capacity and lattice strategies for canceling known interference , 2005, IEEE Transactions on Information Theory.

[17]  Ulrich Reimers Digital Video Broadcasting (DVB): The International Standard for Digital Television , 1998 .

[18]  A. Robert Calderbank,et al.  Space-time block coding for wireless communications: performance results , 1999, IEEE J. Sel. Areas Commun..

[19]  Ding-Bing Lin,et al.  Performance analysis of two-branch transmit diversity block-coded OFDM systems in time-varying multipath Rayleigh-fading channels , 2005, IEEE Transactions on Vehicular Technology.

[20]  Thomas M. Cover,et al.  Broadcast channels , 1972, IEEE Trans. Inf. Theory.

[21]  A. Schertz,et al.  Hierarchical Modulation - the transmission of two independent DVB-T multiplexes on a single frequency , 1998 .

[22]  Lizhong Zheng,et al.  Diversity and multiplexing: a fundamental tradeoff in multiple-antenna channels , 2003, IEEE Trans. Inf. Theory.

[23]  Max H. M. Costa,et al.  Writing on dirty paper , 1983, IEEE Trans. Inf. Theory.

[24]  C.E. Shannon,et al.  Communication in the Presence of Noise , 1949, Proceedings of the IRE.

[25]  M. Tomlinson New automatic equaliser employing modulo arithmetic , 1971 .

[26]  Jian-Kang Zhang,et al.  Equal-diagonal QR decomposition and its application to precoder design for successive-cancellation detection , 2005, IEEE Transactions on Information Theory.

[27]  Tuan A. Tran,et al.  A generalized linear quasi-ML decoder of OSTBCs for wireless communications over time-selective fading channels , 2004, IEEE Transactions on Wireless Communications.

[28]  Robert W. Heath,et al.  Receiver designs for Alamouti coded OFDM systems in fast fading channels , 2005, IEEE Transactions on Wireless Communications.

[29]  Shlomo Shamai,et al.  The intersymbol interference channel: lower bounds on capacity and channel precoding loss , 1996, IEEE Trans. Inf. Theory.

[30]  H. Miyakawa,et al.  Matched-Transmission Technique for Channels With Intersymbol Interference , 1972, IEEE Trans. Commun..

[31]  Ding-Bing Lin,et al.  Performance analysis of two-branch space-time block coded DS-CDMA systems in time-varying multipath Rayleigh fading channels , 2004, Eighth IEEE International Symposium on Spread Spectrum Techniques and Applications - Programme and Book of Abstracts (IEEE Cat. No.04TH8738).