Performance Analysis and Resource Allocation for a Relaying LoRa System Considering Random Nodal Distances

Xu, Wenyang; Cai, Guofa; Fang, Yi; Mumtaz, Shahid; Chen, Guanrong

doi:10.1109/tcomm.2022.3146289

Cited by 9 publications

(11 citation statements)

References 45 publications

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“…Nodes are clustered into high and low SF groups, with the GWs and relays selecting clusters using the naive Bayes algorithm. [22] introduces a two-hop amplify-and-forward relaying LoRa network, where the GW optimizes SF and power allocation to maximize data rates. The LoRaHop protocol presented in [23] extends LoRaWAN protocols by forming a mesh network that enables concurrent transmissions to relay UL and down-link (DL) packets without collision, allowing any node to transmit to the GW without interference.…”

Section: Related Workmentioning

confidence: 99%

A Decentralized Dynamic Relaying-Based Framework for Enhancing LoRa Networks Performance

Haif,

Arous,

Arslan

2024

Preprint

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Long-Range (LoRa) technology holds tremendous potential for regulating and coordinating communication among Internet-of-Things (IoT) devices due to its low power consumption and cost-effectiveness. However, LoRa faces significant obstacles such as reduction in coverage area, a high packet drop ratio (PDR), and an increased likelihood of collisions, all of which result in substandard data rates. In this paper, we present a novel approach that employs a relaying node capable of allocating resources dynamically based on signal parameters. In particular, the geometric placement of the relay node is determined by a genetic algorithm that maximizes signal-tonoise ratio (SNR) and signal-to-interference ratio (SIR) success probabilities. Using equal-area based (EAB) spreading factor (SF) distance allocation scheme, the coverage area is sliced into distinct regions in order to derive the success probabilities for different communication stages. Furthermore, we present a frequency channel shuffling algorithm to prevent collisions between end devices (EDs) without increasing the complexity of the relaying nodes. Through extensive simulations, we demonstrate that our proposed scheme effectively expands the coverage area, conserves transmission resources, and enhances the system's throughput. Specifically, our approach extends the range by up to 40%, increases the throughput by up to 50% compared to conventional methods, and achieves a 40% increase in success probability. To validate the practicality of our approach, we implement our algorithm in an active LoRa network utilizing an ESP32 LoRa SX1276 module, showcasing its compatibility in real-world scenarios.

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Section: Related Workmentioning

confidence: 99%

A Decentralized Dynamic Relaying-Based Framework for Enhancing LoRa Networks Performance

Haif,

Arous,

Arslan

2024

Preprint

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“…Since the sum throughput expression in (36) is intractable, we consider a derivative-free optimization method to obtain the optimal solution, which is practical without the computation of gradients [52]. It is difficult to solve the optimization problem using the exhaustive search method in an acceptable time with the increase in network scale.…”

Section: B Proposed Pso-pa Algorithmmentioning

confidence: 99%

Design and Performance Analysis of RIS-Aided DCSK-WPC System With Energy Buffer

Xie

Cai

Kaddoum³

2023

IEEE Trans. Commun.

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In this paper, we propose a simultaneous transmitting and reflecting reconfigurable intelligent surface (STAR-RIS) and energy buffer aided multiple-input single-output (MISO) simultaneous wireless information and power transfer (SWIPT) nonorthogonal multiple access (NOMA) system, which consists of a STAR-RIS, an access point (AP), and reflection users and transmission users with energy buffers. In the proposed system, the multi-antenna AP can transmit information and energy to several single-antenna reflection and transmission users simultaneously in a NOMA fashion, where the power transfer and information transmission states of the users are modeled using Markov chains. The reflection and transmission users harvest and store the energy in energy buffers as additional power supplies. The power outage probability, information outage probability, sum throughput, and joint outage probability closed-form expressions of the proposed system are derived over Nakagami-m fading channels, which are validated via simulations. Results demonstrate that the proposed system achieves better performance in comparison to the STAR-RIS aided MISO SWIPT-NOMA buffer-less, conventional RIS and energy buffer aided MISO SWIPT-NOMA, and STAR-RIS and energy buffer aided MISO SWIPT-time-division multiple access (TDMA) systems. Furthermore, a particle swarm optimization based power allocation (PSO-PA) algorithm is designed to maximize the sum throughput with a constraint on the joint outage probability. Simulation results illustrate that the proposed PSO-PA algorithm can achieve an improved sum throughput performance of the proposed system. Index Terms-Simultaneous transmitting and reflecting reconfigurable intelligent surface (STAR-RIS), energy buffer, simultaneous wireless information and power transfer (SWIPT), non-orthogonal multiple access (NOMA), Markov chains.

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“…With the proposed GA-TAPA algorithm, which keeps the feature of GA, the numerical optimized results can be obtained. This derivative-free optimization is practical because it does not require the computation of gradients [41].…”

Section: B Proposed Algorithmmentioning

confidence: 99%

Performance Analysis and Resource Allocation of STAR-RIS Aided Wireless-Powered NOMA System

Xie¹,

Cai²,

Kaddoum³

et al. 2023

Preprint

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This paper proposes a simultaneous transmitting and reflecting reconfigurable intelligent surface (STAR-RIS) aided wireless-powered non-orthogonal multiple access (NOMA) system, which includes an access point (AP), a STAR-RIS, and two non-orthogonal users located at both sides of the STAR-RIS. In this system, the users first harvest the radio-frequency energy from the AP in the downlink, then adopt the harvested energy to transmit information to the AP in the uplink concurrently. Two policies are considered for the proposed system. The first one assumes that the time-switching protocol is used in the downlink while the energy-splitting protocol is adopted in the uplink, named TEP. The second one assumes that the energy-splitting protocol is utilized in both the downlink and uplink, named EEP. The outage probability, sum throughput, and average age of information (AoI) of the proposed system with TEP and EEP are investigated over Nakagami-m fading channels. In addition, we also analyze the outage probability, sum throughput, and average AoI of the STAR-RIS aided wireless-powered time-divisionmultiple-access (TDMA) system. Simulation and numerical results show that the proposed system with TEP and EEP outperforms baseline schemes, and significantly improves sum throughput performance K. Xie and G. Cai are with the

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Performance Analysis and Resource Allocation for a Relaying LoRa System Considering Random Nodal Distances

Cited by 9 publications

References 45 publications

A Decentralized Dynamic Relaying-Based Framework for Enhancing LoRa Networks Performance

A Decentralized Dynamic Relaying-Based Framework for Enhancing LoRa Networks Performance

Design and Performance Analysis of RIS-Aided DCSK-WPC System With Energy Buffer

Performance Analysis and Resource Allocation of STAR-RIS Aided Wireless-Powered NOMA System

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