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author:

Ma, Huan (Ma, Huan.) [1] | Cai, Guofa (Cai, Guofa.) [2] | Fang, Yi (Fang, Yi.) [3] | Chen, Pingping (Chen, Pingping.) [4] (Scholars:陈平平) | Han, Guojun (Han, Guojun.) [5]

Indexed by:

EI SCIE

Abstract:

LoRa is a modulation technology for low power wide area networks (LPWAN) with enormous potential in 5G era. However, the performance of LoRa system deteriorates seriously in fading-channel environments. To tackle this problem, in this paper we introduce multiple-input-multiple-output (MIMO) configuration employing space-time block coding (STBC) schemes into the LoRa system to formulate an STBC-MIMO LoRa system. Then, we investigate the theoretical performance of the proposed system over Rayleigh fading channels. To this end, we derive the distribution of the decision metric for the demodulator in the proposed system. Based on the above distribution, we propose a closed-form approximate BER expression of the proposed system when perfect and imperfect channel state information (CSI) are considered. Furthermore, we analyze the diversity order and the throughput of the proposed system. The results of the diversity analysis demonstrate that the diversity order of the system in the imperfect CSI scenario with fixed channel estimate error variance is zero. However, in the imperfect CSI scenario with a decreasing channel estimate error variance and the perfect CSI scenario, the system can achieve full diversity. In addition, the results of the throughput analysis show that the throughput of the proposed system is little affected by CSI conditions. Simulation results verify the accuracy of the theoretical analysis and the excellent performance of the proposed system. Due to such superiority, the proposed STBC-MIMO LoRa system can be considered as a good scheme for LPWAN.

Keyword:

bit error rate (BER) diversity order Internet of Things (IoT) LoRa multiple-input-multiple-output (MIMO) Rayleigh fading channel space-time block coding (STBC)

Community:

  • [ 1 ] [Ma, Huan]Guangdong Univ Technol, Sch Informat Engn, Guangzhou 510006, Peoples R China
  • [ 2 ] [Cai, Guofa]Guangdong Univ Technol, Sch Informat Engn, Guangzhou 510006, Peoples R China
  • [ 3 ] [Fang, Yi]Guangdong Univ Technol, Sch Informat Engn, Guangzhou 510006, Peoples R China
  • [ 4 ] [Han, Guojun]Guangdong Univ Technol, Sch Informat Engn, Guangzhou 510006, Peoples R China
  • [ 5 ] [Ma, Huan]Xidian Univ, State Key Lab Integrated Serv Networks, Xian 710126, Peoples R China
  • [ 6 ] [Cai, Guofa]Xidian Univ, State Key Lab Integrated Serv Networks, Xian 710126, Peoples R China
  • [ 7 ] [Fang, Yi]Xidian Univ, State Key Lab Integrated Serv Networks, Xian 710126, Peoples R China
  • [ 8 ] [Han, Guojun]Xidian Univ, State Key Lab Integrated Serv Networks, Xian 710126, Peoples R China
  • [ 9 ] [Chen, Pingping]Fuzhou Univ, Dept Elect Informat, Fuzhou 350116, Peoples R China

Reprint 's Address:

  • [Cai, Guofa]Guangdong Univ Technol, Sch Informat Engn, Guangzhou 510006, Peoples R China

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Related Keywords:

Source :

IEEE TRANSACTIONS ON COMMUNICATIONS

ISSN: 0090-6778

Year: 2021

Issue: 9

Volume: 69

Page: 5744-5757

6 . 1 6 6

JCR@2021

8 . 3 0 0

JCR@2022

ESI Discipline: COMPUTER SCIENCE;

ESI HC Threshold:87

JCR Journal Grade:1

CAS Journal Grade:2

Cited Count:

WoS CC Cited Count: 19

SCOPUS Cited Count: 20

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

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