Adaptive rate allocation scheme for joint source-channel coding based on double protograph LDPC codes

Although the joint source and channel coding (JSCC) system based on double protograph low-density parity-check (DP-LDPC) codes shows excellent error performance in wireless communications systems, there still is some space left for the improvement of error rate performance and the robustness of this JSCC system as it suffers high sensitivity to source statistics. In this paper, an adaptive rate allocation scheme under fixed bandwidth is presented for joint source-channel coding,which allocates rate adaptively between the source and channel codes according to channel state information and source statistics. The simulation results show that the proposed scheme can possess excellent error performance of both water-fall region at low signal to noise ratio (SNR) and error-floor region at high SNR. In addition, it is helpful to reduce the influence of source statistics to this system and improve the robustness.

[1]  Robert G. Gallager,et al.  Low-density parity-check codes , 1962, IRE Trans. Inf. Theory.

[2]  Claude E. Shannon,et al.  A Mathematical Theory of Communications , 1948 .

[3]  Lin Wang,et al.  A joint source and channel coding scheme base on simple protograph structured codes , 2012, 2012 International Symposium on Communications and Information Technologies (ISCIT).

[4]  J. Thorpe Low-Density Parity-Check (LDPC) Codes Constructed from Protographs , 2003 .

[5]  Lin Wang,et al.  Unequal error protection for radiography image transmission using protograph double LDPC codes , 2013, 2013 Wireless Telecommunications Symposium (WTS).

[6]  H. Vincent Poor,et al.  Optimized concatenated LDPC codes for joint source-channel coding , 2009, 2009 IEEE International Symposium on Information Theory.

[7]  Kenneth Zeger,et al.  Channel code blocklength and rate optimization for progressive image transmission , 1999, WCNC. 1999 IEEE Wireless Communications and Networking Conference (Cat. No.99TH8466).

[8]  C. E. SHANNON,et al.  A mathematical theory of communication , 1948, MOCO.

[9]  Dariush Divsalar,et al.  Low-rate LDPC codes with simple protograph structure , 2005, Proceedings. International Symposium on Information Theory, 2005. ISIT 2005..

[10]  Dariush Divsalar,et al.  Capacity-approaching protograph codes , 2009, IEEE Journal on Selected Areas in Communications.

[11]  H. Vincent Poor,et al.  Joint Source and Channel Coding , 2010, IEEE Signal Processing Magazine.

[12]  Laurence B. Milstein,et al.  Source-channel rate optimization for progressive image transmission over block fading relay channels [Transactions Papers] , 2010, IEEE Transactions on Communications.

[13]  Lin Wang,et al.  Joint Source-Channel Coding Based on P-LDPC Codes for Radiography Images Transmission , 2012, 2012 IEEE 11th International Conference on Trust, Security and Privacy in Computing and Communications.

[14]  Lin Wang,et al.  Performance of Joint Source-Channel Coding Based on Protograph LDPC Codes over Rayleigh Fading Channels , 2014, IEEE Communications Letters.

[15]  Aria Nosratinia,et al.  Source-channel rate allocation for progressive transmission of images , 2003, IEEE Trans. Commun..