Data-Oriented View for Convolutional Coding With Adaptive Irregular Constellations

Current wireless systems offer various use-cases where conventional channel capacity focused performance criteria might not apply. Following the similar perspective, convolutional encoding can find more room due to its low complexity and decoding delay. Besides, it has been also shown that error of a encoder be improved further by using adaptive irregular constellations. A new measure, data-oriented approach, was recently proposed for transmission small data packets, i.e. mission-critical IoT applications, over fading channels. In this letter, delay gain resulting from convolution coding optimized constellations is investigated. Then, we derive criterion based on finite block length constraints. Based criterion, design together with short packet transmission.