A Convolutionally Encoded OSTBC System with SNR-Adaptive Constellations for Low-Latency and Low-Complexity Communications
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|
|Organisation||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