Data-Oriented View for Convolutional Coding with Adaptive Irregular Constellations

Mehmet Cagri Ilter, Risto Wichman, Jyri Hamalainen, Halim Yanikomeroglu, Hong Chuan Yang

Tutkimustuotos: LehtiartikkeliArticleScientificvertaisarvioitu

11 Lataukset (Pure)

Abstrakti

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 letter, 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.

AlkuperäiskieliEnglanti
Artikkeli9352771
Sivut1771-1775
Sivumäärä5
JulkaisuIEEE Communications Letters
Vuosikerta25
Numero6
Varhainen verkossa julkaisun päivämäärä2021
DOI - pysyväislinkit
TilaJulkaistu - kesäkuuta 2021
OKM-julkaisutyyppiA1 Julkaistu artikkeli, soviteltu

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