期刊
IEEE INTERNET OF THINGS JOURNAL
卷 6, 期 4, 页码 6247-6261出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/JIOT.2018.2878716
关键词
Energy-based modulation; Industrial Internet of Things (IIoT); massive single-input multiple-output (SIMO); noncoherent maximum-likelihood (ML) detection; ultrareliable low-latency communications (URLLCs)
资金
- National Natural Science Foundation of China [61640003, U1204607, 61501404]
- Major Projects of Henan Province [161100210200]
- National 863 Project [2014AA01A705]
- Outstanding Young Talent Research Fund of ZZU [1521318003]
- Startup Research Fund of Zhengzhou University [1512318005]
- Natural Sciences and Engineering Research Council of Canada
- Australian Research Council [FL160100032]
To enable ultrareliable low-latency wireless communications required in the Industrial Internet of Things, in this paper we develop an energy-based modulation [i.e., non-negative pulse amplitude modulation (PAM)] constellation design framework for noncoherent detection in massive single-input multiple-output (SIMO) systems. We consider that one single-antenna transmitter communicates to a receiver with a large number of antennas over a Rayleigh fading channel, and the receiver decodes the transmitted information at the end of every symbol. For such an SIMO system with non-negative PAM modulation, we first propose a fast noncoherent maximum-likelihood decoding algorithm and derive a closed-form expression of its symbol error probability (SEP). We then enhance the system energy efficiency by finding the optimal PAM constellation that minimizes the exact SEP subject to a total signal power constraint for such a system with an arbitrary number of receiver antennas, signal-to-noise ratio (SNR), and constellation size. Furthermore, the closed-form upper and lower bounds on the optimal SEP are derived. Based on these bounds, the exact expression for coding gain of the dominant term of the SEP is presented for such an optimal massive SIMO system. We also present an asymptotic SEP expression at a high SNR regime and the approximate diversity gain of the system. Simulation results for the proposed optimal PAM constellation validate the theoretical analysis, and show that our presented optimal constellation attains significant performance gains over the currently available minimum-distance-based constellation systems.
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