Title :
A turbo decoder architecture with scalable parallelism
Author_Institution :
Philips Res. Labs., Eindhoven, Netherlands
Abstract :
A scalable, programmable turbo decoder architecture is presented in this paper. The starting point is a comparison of the existing techniques on the basis of scalability, area and power consumption. The results from these comparisons lead to a hybrid technique on which our architecture concept is based. The architecture consists of clusters, each of which is a VLIW architecture. The upsizing is possible by adding a cluster and dividing the two data memories into banks. The window size is chosen according to the number of banks, to prevent conflicts. At the end of the paper, a short evaluation of the architecture is presented.
Keywords :
convolutional codes; iterative decoding; maximum likelihood decoding; parallel architectures; programmable circuits; turbo codes; MAP decoder; VLIW architecture clusters; convolutional decoders; data memory banks; data window size; iterative decoding; programmable turbo decoder; scalability; scalable parallelism; turbo decoder architecture; Computer architecture; Convolutional codes; Energy consumption; Iterative decoding; Laboratories; Mobile communication; Parallel processing; Scalability; Turbo codes; VLIW;
Conference_Titel :
Signal Processing Systems, 2004. SIPS 2004. IEEE Workshop on
Print_ISBN :
0-7803-8504-7
DOI :
10.1109/SIPS.2004.1363066