Paper Info
Title
A New Frequency-Bin-Index LoRa System for High-Data-Rate Transmission: Design and Performance Analysis
Abstract
As an attempt to tackle the low-data-rate issue of the conventional LoRa systems, we propose two novel frequency-bin-index (FBI) LoRa schemes. In scheme I, the indices of starting frequency bins (SFBs) are utilized to carry the information bits. To facilitate the actual implementation, the SFBs of each LoRa signal are divided into several groups prior to the modulation process in the proposed FBI-LoRa system. To further improve the system flexibility, we formulate a generalized modulation scheme and propose scheme II by treating the SFB groups as an additional type of transmission entity. In scheme II, the combination of SFB indices and that of SFB group indices are both exploited to carry the information bits. We derive the theoretical expressions for bit error rate (BER) and throughput of the proposed FBI-LoRa system with two modulation schemes over AWGN and Rayleigh fading channels. Simulation results not only verify the accuracy of theoretical BER and throughput analyses but also show that the proposed FBI-LoRa schemes can significantly increase the transmission throughput compared with the existing LoRa systems at the expense of a slight loss in BER performance. The proposed FBI-LoRa system is a promising alternative for high-data-rate Internet of Things (IoT) applications.
Year
DOI
Venue
2022
10.1109/JIOT.2021.3137479
IEEE Internet of Things Journal
Keywords
DocType
Volume
Frequency-bin index (FBI),index modulation (IM),Internet of Things (IoT),LoRa,Rayleigh fading
Journal
9
Issue
Citations 
PageRank 
14
0
0.34
References 
Authors
45
5
Name
Order
Citations
PageRank
Huan Ma1161.92
Yi Fang213.06
Guofa Cai301.01
Han Guojun411816.36
Yonghui Li53393253.70