Title :
Channel Coding for IDM: High-Rate Convolutional Code Concatenated with Irregular Repetition Code
Author :
Noemm, Meelis ; Hassan, Najeeb Ul ; Hoeher, Peter Adam ; Wang, Yi
Author_Institution :
Fac. of Eng., Univ. of Kiel, Kiel, Germany
Abstract :
Currently, combining turbo or low-density parity-check (LDPC) codes with bit-interleaved coded modulation (BICM) is the most common coding scheme for bandwidth-limited channels. However, in order to be capacity achieving, shaping is necessary, which is difficult in conjunction with iterative processing. An alternative is interleave-division multiplexing (IDM), which can be either treated as a coded modulation scheme or a multiplexing scheme. In IDM, coded data sequences are linearly superimposed, thus avoiding the necessity of active signal shaping. The characteristics of IDM can be controlled by power and phase allocation. With typical parameter settings, IDM is non- bijective. In that case, the main task of channel coding is aiding to resolve the data sequences ("layers") at the receiver side, whereas noise mitigation is a secondary task. In this paper, we demonstrate that classical channel codes (like LDPC and turbo codes) fail when applied with IDM. In fact, repetition coding is quite useful. It is shown by means of an EXIT chart analysis that a concatenation of a high-rate convolutional code with an irregular repetition code matches well with the characteristics of an IDM a posteriori probability (APP) demapper.
Keywords :
channel coding; concatenated codes; convolutional codes; iterative methods; maximum likelihood estimation; multiplexing; APP demapper; BICM; EXIT chart analysis; IDM; LDPC code; a posteriori probability; bandwidth-limited channels; bit-interleaved coded modulation; channel coding; coded data sequences; concatenation; data sequences; high-rate convolutional code; interleave-division multiplexing; irregular repetition code; iterative processing; low density parity check code; noise mitigation; phase allocation; power allocation; signal shaping; turbo code; Bandwidth; Channel coding; Convolutional codes; Decoding; Reliability; Resource management;
Conference_Titel :
Global Telecommunications Conference (GLOBECOM 2011), 2011 IEEE
Conference_Location :
Houston, TX, USA
Print_ISBN :
978-1-4244-9266-4
Electronic_ISBN :
1930-529X
DOI :
10.1109/GLOCOM.2011.6133686