Finite Blocklength Analysis of Coded Modulation for Block Fading Channels with Linear Precoding

Zohdy, Maha; Song, Eva C.; Yue, Guosen

doi:10.1109/eucnc48522.2020.9200938

Cited by 1 publication

(1 citation statement)

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“…In order to find optimized irregular constelllations which minimizes (11), after utilizing [29], γ o can be calculated from 29), [29] and δ is chosen as 0.1 as in [29]. The parameters used in PSO optimizer in [30] are chosen in constellation search and in order to keep the average transmitted symbol energy not exceeding certain threshold and fair comparison with the reference constellations, the following constraint is also taken into account during the process.…”

Section: Algorithmmentioning

confidence: 99%

Data-Oriented View for Convolutional Coding With Adaptive Irregular Constellations

et al. 2021

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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 low decoding delay. Besides, it has been also shown that error performance of a convolutional encoder can be improved further by using adaptive irregular constellations. A new performance measure, data-oriented approach, was recently proposed for the transmission of small data packets, i.e. mission-critical IoT applications, over fading channels. In this paper, delay performance gain resulting from convolution coding optimized irregular constellations is investigated. Then, we derive a new performance criterion based on delay and finite block length constraints. Based on this criterion, we design irregular constellations together with convolutional coding for short packet transmission.

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