Downlink NOMA for Short-Packet Internet-of-Things Communications with Low-Resolution ADCs

Seyong Kim, Jinseok Choi, Jeonghun Park

Research output: Contribution to journalArticlepeer-review


In this paper, we propose precoding design to maximize the sum achievable rate in downlink non-orthogonal multiple access (NOMA)-aided short-packet Internet-of-Things (IoT) communications, wherein each IoT device is equipped with low-resolution analog-to-digital converters (ADCs). Due to intertwined effects caused from low-resolution ADCs, short-packets, and NOMA, it is challenging to find efficient precoding vectors. To resolve the difficulties, we first linearize quantization distortion by adopting an additive quantization noise model. Thereafter, we approximate non-smooth functions by using a LogSumExp technique. With the transformed problem, we derive a first-order optimality condition and propose a novel precoding algorithm which identifies an efficient local optimal solution with low complexity. Based on the proposed algorithm, we also investigate an efficient NOMA decoding ordering method for the considered system. Via simulations, we demonstrate that the proposed method outperforms other baseline methods.

Original languageEnglish
Pages (from-to)1
Number of pages1
JournalIEEE Internet of Things Journal
Publication statusAccepted/In press - 2022

Bibliographical note

Publisher Copyright:

All Science Journal Classification (ASJC) codes

  • Signal Processing
  • Information Systems
  • Hardware and Architecture
  • Computer Science Applications
  • Computer Networks and Communications


Dive into the research topics of 'Downlink NOMA for Short-Packet Internet-of-Things Communications with Low-Resolution ADCs'. Together they form a unique fingerprint.

Cite this