Uplink non-orthogonal multiple access with channel estimation errors for internet of things applications

Minjoong Rim, Chung G. Kang

    Research output: Contribution to journalArticlepeer-review

    7 Citations (Scopus)

    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
    Article number912
    JournalSensors (Switzerland)
    Volume19
    Issue number4
    DOIs
    Publication statusPublished - 2019 Feb 2

    Bibliographical note

    Funding Information:
    Funding: This work was supported in part by the National Research Foundation of Korea(NRF) grant funded by the Korea government (MSIT) (No. 2016R1A2B1008953), in part by Institute for Information & communications Technology Promotion (IITP) grant funded by the Korea government (MSIT) (No. 2014-0-00282, Development of 5G Mobile Communication Technologies for Hyper-connected smart services), and in part by ’The Cross-Ministry Giga KOREA Project’ grant funded by the Korea government (MSIT) (No. GK18S0400, Research and Development of Open 5G Reference Model).

    Publisher Copyright:
    © 2019 by the authors. Licensee MDPI, Basel, Switzerland.

    Keywords

    • Channel estimation
    • IoT
    • Massive IoT
    • NOMA
    • QPSK
    • Random access

    ASJC Scopus subject areas

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

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