Memory power reduction for the high-speed implementation of turbo codes

Reliable data-transmission is a very important issue for wireless communication systems. Data-transmission with near-optimal bit error rates at low signal-to-noise ratios (SNRs) can be achieved by applying turbo codes. However, the decoding of turbo codes is done in an iterative way and the hardware implementation of a turbo decoder for high bit rates is challenging. This is partly due to the inherent decoding latency of the maximum-a-posteriori (MAP)-algorithm, which is the key building block of the decoder. Moreover, power consumption in the MAP-algorithm turns out to be a problem at high data rates. An analysis of power consumption in the MAP-algorithm has indicated a bottleneck in memory accesses. Therefore, the data transfer and storage exploration (DTSE) methodology, developed at IMEC, has been applied. This paper extensively describes some DTSE-optimizations for the MAP-algorithm in the context of the entire methodology. Applying the DTSE-methodology has allowed the required data rates for wireless digital communications to be reached. Moreover, it has also resulted in reduced power consumption and lower latency