Uplink Non-Orthogonal Multiple Access with Channel Estimation Errors for Internet of Things Applications

Minjoong Rim, Chung Gu Kang

Research output: Contribution to journalArticle

Abstract

One of the key requirements for next generation wireless or cellular communication systems is to efficiently support a large number of connections for Internet of Things (IoT) applications, and uplink non-orthogonal multiple access (NOMA) schemes can be used for this purpose. In uplink NOMA systems, pilot symbols, as well as data symbols can be superimposed onto shared resources. The error rate performance can be severely degraded due to channel estimation errors, especially when the number of superimposed packets is large. In this paper, we discuss uplink NOMA schemes with channel estimation errors, assuming that quadrature phase shift keying (QPSK) modulation is used. When pilot signals are superimposed onto the shared resources and a large number of devices perform random accesses concurrently to a single resource of the base station, the channels might not be accurately estimated even in high SNR environments. In this paper, we propose an uplink NOMA scheme, which can alleviate the performance degradation due to channel estimation errors.

Original languageEnglish
JournalSensors (Basel, Switzerland)
Volume19
Issue number4
DOIs
Publication statusPublished - 2019 Feb 21

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Keywords

  • channel estimation
  • IoT
  • massive IoT
  • NOMA
  • QPSK
  • random access

ASJC Scopus subject areas

  • Analytical Chemistry
  • Atomic and Molecular Physics, and Optics
  • Biochemistry
  • Instrumentation
  • Electrical and Electronic Engineering

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