Title :
Sparse graph codes for multilevel modulation with signal shaping
Author_Institution :
Dept. of Electr. Eng., Math. & Comput. Sci., Twente Univ., Enschede
Abstract :
We present a method to combine error-correction coding and spectral-efficient modulation for transmission over the additive white Gaussian noise (AWGN) channel. The code employs signal shaping which can provide a so-called shaping gain. The code belongs to the family of sparse graph codes for which efficient decoding algorithms can be derived. Simulation results show that the performance of the code is quite good compared to other coded modulation schemes proposed in literature
Keywords :
AWGN channels; channel coding; error correction codes; graph theory; modulation coding; AWGN channel; additive white Gaussian noise channel; decoding algorithms; error-correction coding; multilevel modulation; signal shaping; sparse graph codes; spectral-efficient modulation; AWGN channels; Additive white noise; Constellation diagram; Decoding; Gaussian distribution; Modulation coding; Parity check codes; Random variables; Signal generators; Signal to noise ratio;
Conference_Titel :
Information Theory, 2005. ISIT 2005. Proceedings. International Symposium on
Conference_Location :
Adelaide, SA
Print_ISBN :
0-7803-9151-9
DOI :
10.1109/ISIT.2005.1523618
