4.8 Article

Achieving Ultrareliable and Low-Latency Communications in IoT by FD-SCMA

期刊

IEEE INTERNET OF THINGS JOURNAL
卷 7, 期 1, 页码 363-378

出版社

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/JIOT.2019.2948281

关键词

Reliability; NOMA; Internet of Things; Multiuser detection; Error probability; Signal to noise ratio; Finite blocklength (FBL); full duplex (FD); self-interference suppression (SIS); sparse-code multiple-access (SCMA); ultrareliable and low-latency communications (URLLCs)

资金

  1. National ST Major Project [2018ZX03001011]
  2. National Natural Science Foundation of China [61671072]

向作者/读者索取更多资源

To enable ultrareliable and low-latency communications (URLLCs) in the Internet of Things (IoT), a sparse-code multiple-access (SCMA)-enhanced full-duplex (FD) scheme (FD-SCMA) is proposed in this article. FD-SCMA can support short-packet transmissions of several SCMA users in the uplink (UL) and downlink (DL) simultaneously by an FD next generation node B (gNB). First, the gNB and UL users can generate and superpose signals according to the preconfigured SCMA codebooks, and simultaneously transmit the signals via occupied subcarriers in a joint SCMA pattern. The receivers at the gNB and DL users can demodulate and decode the signals with multiuser detection (MUD). With the imperfect self-interference suppression (SIS) of FD considered, the effective signal-to-noise ratio (SNR) of FD-SCMA at the gNB and DL users is formulated. The error probability of FD-SCMA in the UL and DL is also derived under a given transmission latency constraint of short-packet transmissions. In the stationary flat-fading channel, it is proved that FD-SCMA can achieve better reliability than the existing FD and SCMA schemes. In the time-invariant frequency-selective fading channel, the upper bounds for error probability of the UL and DL users in FD-SCMA are derived, respectively. Through the theoretical calculation and Monte Carlo simulation, it is verified that the superiority of FD-SCMA in supporting ultrareliable and low-latency short-packet transmissions in IoT.

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