DocumentCode :
2941141
Title :
Improvement of Iterative Decoding Algorithm in the Adaptive Modulation and Coding System
Author :
Jeonghwan Lee ; Gilsang Yoon ; Insik Cho ; Changhyeon Chae ; Daewon Choi ; Taejin Jung ; Cheolhong Kim ; Intae Hwang ; Cheolwoo You ; Daeki Hong
Author_Institution :
Chonnam Nat. Univ., Gwangju
fYear :
2008
fDate :
10-12 Jan. 2008
Firstpage :
680
Lastpage :
681
Abstract :
In this paper, we propose and analyze an adaptive modulation system with optimal turbo coded V-BLAST (vertical-bell-lab layered space-time) technique that adopts the extrinsic information from MAP (maximum a posteriori) decoder with iterative decoding as a priori probability in two decoding procedures of V-BLAST scheme; the ordering and the slicing. The result indicates that the proposed systems achieve a better throughput performance than the conventional systems in the whole SNR range. In addition, the simulation result shows that the maximum throughput improvement in each MIMO scheme is respectively about 421 kbps, 545 kbps, and 880 kbps. It is suggested that the effect of the proposed decoding algorithm accordingly gets higher as the number of system antenna increases.
Keywords :
MIMO communication; adaptive codes; adaptive modulation; iterative decoding; maximum likelihood estimation; probability; turbo codes; MIMO scheme; adaptive modulation system; bit rate 421 kbit/s; bit rate 545 kbit/s; bit rate 880 kbit/s; coding system; iterative decoding algorithm; maximum a posteriori decoder; probability; system antenna; turbo code; vertical-bell-lab layered space-time technique; Adaptive systems; Iterative algorithms; Iterative decoding; MIMO; Modulation coding; Receiving antennas; Telecommunication computing; Throughput; Transmitting antennas; Turbo codes;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Consumer Communications and Networking Conference, 2008. CCNC 2008. 5th IEEE
Conference_Location :
Las Vegas, NV
Print_ISBN :
978-1-4244-1456-7
Electronic_ISBN :
978-1-4244-1457-4
Type :
conf
DOI :
10.1109/ccnc08.2007.156
Filename :
4446454
Link To Document :
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