Interleaved Chirp Spreading LoRa as a Parallel Network to Enhance LoRa Capacity

Edward, Phoebe; El-Aasser, Minar; Ashour, Mohamed; Elshabrawy, Tallal

doi:10.1109/jiot.2020.3027100

Cited by 47 publications

(25 citation statements)

References 29 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Notably, the ICS-LoRa system and SSK-LoRa system have almost the same BER performance as the conventional LoRa system, and thus the relatively performance between ICS/SSK/convolutiaonl-LoRa system and the propsoed FBI-LoRa system almost remains identical. Furthermore, compared with the PSK-LoRa system, the proposed FBI-LoRa systems with Pa I = [7,2,4] and Pa II = [7,3,8,2] can achieve around 5.5 dB and 5 dB gains at a BER of 10 −4 over a AWGN channel, respectively. However, the proposed FBI-LoRa system has a performance loss of about 1 dB at a BER of 10 −4 compared to the PSK-LoRa (n p = 4) system over a Rayleigh fading channel.…”

Section: Numerical Results and Discussionmentioning

confidence: 98%

“…5, scheme I offers a much higher throughput than other systems in high SNR region. Specifically, the throughput of scheme I with Pa I = [7, 2, 4] are 357%, 300%, and 191% larger than those of the conventional LoRa, ICS/SSK-LoRa, and PSK-LoRa (n p = 4) systems 4 , respectively. Compared to the PSK-LoRa system, scheme I improves the transmission throughput by 191% over AWGN and Rayleigh fading channels.…”

Section: Numerical Results and Discussionmentioning

confidence: 99%

“…According to the Ericsson Mobile Report, it is predicted that by 2022, approximately 29 billion IoT devices will be connected via wireless technology [2]. Driven by the massive connectivity and lowpower consumption requirements in IoT applications, lowpower wide area (LPWA) network has emerged as a promising solution and has been widely deployed in many fields [3], [4]. Among all the prospective LPWA technologies, LoRa that operates in unlicensed frequency bands has attracted much attention [5], [6].…”

Section: Introductionmentioning

confidence: 99%

“…LoRa is a chirp spread-spectrum (CSS) based modulation with low power, low data rate and long range [7]- [9]. In the LoRa modulation, a multidimensional space for LoRa signals is formed by cyclic shifts of chirp signal with linearly increased frequency, and different LoRa signals are mutually orthogonal [4], [10]- [12]. The frequency of these LoRa chirp signals linearly increase at different rate, which depends on the spreading factor (SF = 7, .…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

A New Frequency-Bin-Index LoRa System for High-Data-Rate Transmission: Design and Performance Analysis

Ma¹,

Fang²,

Cai³

et al. 2021

Preprint

View full text Add to dashboard Cite

As an attempt to tackle the low-data-rate issue of the conventional LoRa systems, we propose two novel frequencybin-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 additive white Gaussian noise (AWGN) and Rayleigh fading channels. Theoretical and simulation results show that the proposed FBI-LoRa schemes can significantly increases the transmission throughput compared with the existing LoRa systems at the expense of a slight loss in BER performance. Thanks to the appealing superiorities, the proposed FBI-LoRa system is a promising alternative for high-data-rate Internet of Things (IoT) applications.

show abstract

Section: Numerical Results and Discussionmentioning

confidence: 98%

Section: Numerical Results and Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

A New Frequency-Bin-Index LoRa System for High-Data-Rate Transmission: Design and Performance Analysis

Ma¹,

Fang²,

Cai³

et al. 2021

Preprint

View full text Add to dashboard Cite

show abstract

“…A dynamic LoRa transmission control system was proposed in [37] to improve the energy efficiency. In [38], the LoRa capacity was enhanced by proposing an interleaved chirp spreading scheme. Moreover, the LoRa goodput was improved in [39] by controlling the receiver window size.…”

Section: Related Workmentioning

confidence: 99%

LoRa-RL: Deep Reinforcement Learning for Resource Management in Hybrid Energy LoRa Wireless Networks

Hamdi,

Baccour,

Erbad

et al. 2021

Preprint

View full text Add to dashboard Cite

LoRa wireless networks are considered as a key enabling technology for next generation internet of things (IoT) systems. New IoT deployments (e.g., smart city scenarios) can have thousands of devices per square kilometer leading to huge amount of power consumption to provide connectivity. In this paper, we investigate green LoRa wireless networks powered by a hybrid of the grid and renewable energy sources, which can benefit from harvested energy while dealing with the intermittent supply. This paper proposes resource management schemes of the limited number of channels and spreading factors (SFs) with the objective of improving the LoRa gateway energy efficiency. First, the problem of grid power consumption minimization while satisfying the system's quality of service demands is formulated. Specifically, both scenarios the uncorrelated and time-correlated channels are investigated. The optimal resource management problem is solved by decoupling the formulated problem into two sub-problems: channel and SF assignment problem and energy management problem. Since the optimal solution is obtained with high complexity, online resource management heuristic algorithms that minimize the grid energy consumption are proposed. Finally, taking into account the channel and energy correlation, adaptable resource management schemes based on Reinforcement Learning (RL), are developed. Simulations results show that the proposed resource management schemes offer efficient use of renewable energy in LoRa wireless networks.

show abstract

Wireless Technologies in Flexible and Wearable Sensing: From Materials Design, System Integration to Applications

Kong,

Li,

Zhang

et al. 2024

Advanced Materials

View full text Add to dashboard Cite

Wireless and wearable sensors attract considerable interest in personalized healthcare by providing a unique approach for remote, non‐contact, and continuous monitoring of various health‐related signals without interference with daily life. Recent advances in wireless technologies and wearable sensors have promoted practical applications due to their significantly improved characteristics, such as reduction in size and thickness, enhancement in flexibility and stretchability, and improved conformability to the human body. Currently, most researches focus on active materials and structural designs for wearable sensors, with just a few exceptions reflecting on the technologies for wireless data transmission. This review provides a comprehensive overview of the state‐of‐the‐art wireless technologies and related studies on empowering wearable sensors. The emerging functional nanomaterials utilized for designing unique wireless modules are highlighted, which include metals, carbons, and MXenes. Additionally, the review outlines the system‐level integration of wireless modules with flexible sensors, spanning from novel design strategies for enhanced conformability to efficient transmitting data wirelessly. Furthermore, the review introduces representative applications for remote and non‐invasive monitoring of physiological signals through on‐skin and implantable wireless flexible sensing systems. Finally, the challenges, perspectives, and unprecedented opportunities for wireless and wearable sensors are discussed.This article is protected by copyright. All rights reserved

show abstract

Interleaved Chirp Spreading LoRa as a Parallel Network to Enhance LoRa Capacity

Cited by 47 publications

References 29 publications

A New Frequency-Bin-Index LoRa System for High-Data-Rate Transmission: Design and Performance Analysis

A New Frequency-Bin-Index LoRa System for High-Data-Rate Transmission: Design and Performance Analysis

LoRa-RL: Deep Reinforcement Learning for Resource Management in Hybrid Energy LoRa Wireless Networks

Wireless Technologies in Flexible and Wearable Sensing: From Materials Design, System Integration to Applications

Contact Info

Product

Resources

About