A Fronthaul Signal Compression Method Based on Trellis Coded Quantization

Abstract

In the C-RAN architecture, there is a very high requirement of data rate for the fronthaul due to the characteristics and the high number of signals. One of the solutions relies on compression techniques to alleviate this requirement. Therefore, in this work, we propose a compression technique based on Trellis Coded Quantization. We use a resampling of 2/3, block scaling, TCQ quantization, and entropy coding. The results show that improves EVM performance in comparison with the scalar quantization and presents a lower computational cost than vector quantization.