Wyner-Ziv nested lattice coding for single-cell multicast service delivery

This paper addresses the problem of physical-layer multicasting over single-cell point-to-multipoint communication. We consider a base station that needs to convey a common information to a group of users. We propose a Wyner-Ziv coder (WZC) based on doubly nested lattice quantization. In our scheme, we use the base layer generated by a standard coder as the decoder side information. Then, WZC is performed for enhancing the quality of the transmitted message. With the proposed layered coding, two enhancement messages will be generated, the first for all users and the second for only a subgroup of users with the best channel conditions. We optimize the scheme parameters in order to maximize the multicast rate and minimize the reconstruction distortion at all users. The efficiency of the proposed scheme is confirmed by the rate-distortion performance results that show significant decrease of the decoded signal distortion, compared to the basic multicasting scheme.

[1]  S. Shamai,et al.  Nested linear/lattice codes for Wyner-Ziv encoding , 1998, 1998 Information Theory Workshop (Cat. No.98EX131).

[2]  Emanuele Viterbo,et al.  Lattice Index Coding , 2014, IEEE Transactions on Information Theory.

[3]  Mohamed Kamoun,et al.  Achievable Rate Regions for Two-Way Relay Channel Using Nested Lattice Coding , 2013, IEEE Transactions on Wireless Communications.

[4]  Steven McCanne,et al.  Receiver-driven layered multicast , 2001 .

[5]  Bernd Girod,et al.  Layered coding vs. multiple descriptions for video streaming over multiple paths , 2003, ACM Multimedia.

[6]  Aaron D. Wyner,et al.  The rate-distortion function for source coding with side information at the decoder , 1976, IEEE Trans. Inf. Theory.

[7]  Rui Zhang,et al.  Wyner-Ziv coding for video: applications to compression and error resilience , 2003, Data Compression Conference, 2003. Proceedings. DCC 2003.

[8]  Zixiang Xiong,et al.  Layered Wyner-Ziv video coding , 2004, IS&T/SPIE Electronic Imaging.

[9]  Rudolf Ahlswede,et al.  Network information flow , 2000, IEEE Trans. Inf. Theory.

[10]  Kiseon Kim,et al.  Multicast Scheduling and Resource Allocation Algorithms for OFDMA-Based Systems: A Survey , 2013, IEEE Communications Surveys & Tutorials.

[11]  N. J. A. Sloane,et al.  Sphere Packings, Lattices and Groups , 1987, Grundlehren der mathematischen Wissenschaften.

[12]  Uri Erez,et al.  Achieving 1/2 log (1+SNR) on the AWGN channel with lattice encoding and decoding , 2004, IEEE Transactions on Information Theory.

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