S-The 5G and beyond wireless networks target novel use-cases with stringent requirements on physical layer parameters such as latency, which may necessitate design decisions with trade-offs. Choosing a channel coding scheme which gives the best error performance may not be the most appropriate choice in mission-critical machine-type communications which require very low latency. In such contexts, convolutional codes may be preferable due to their faster decoding and simplicity. Motivated by this observation, we introduce a convolutionally encoded OSTBC system with SNR-adaptive constellations for low-latency and low-complexity use-cases. Numerical results obtained for the versatile Nakagami-m channel demonstrate that the investigated scheme results in considerable gains in terms of error performance and decoding latency.1.

5G network, constellation shaping, convolutional coding, low-latency communications
19th IEEE International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2018
Department of Systems and Computer Engineering

Cagri Ilter, M. (Mehmet), Wichman, R. (Risto), Hamalainen, J. (Jyri), & Yanikomeroglu, H. (2018). A Convolutionally Encoded OSTBC System with SNR-Adaptive Constellations for Low-Latency and Low-Complexity Communications. In IEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC. doi:10.1109/SPAWC.2018.8445954