Experimental Evidence for Heavy Tailed Interference in the IoT

Clavier, Laurent; Pedersen, Troels; Larrad, Ignacio Rodriguez; Lauridsen, Mads; Egan, Malcolm

doi:10.1109/lcomm.2020.3034430

Cited by 29 publications

(33 citation statements)

References 15 publications

(12 reference statements)

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“…This validation is carried out by comparing the quantiles between the theoretical model and the empirical model. Finally, the works exposed in [34] show a very strong match between the theoretical interference model that is based on an α-stable heavy-tailed distribution and the measurements carried out in different zones (park, hospital, residential and industrial zones) in the city of Aalborg. In view of these related works, α-stable distribution is a good choice to model the interference from the underlying networks.…”

Section: ) Interference Identification and Modelsmentioning

confidence: 58%

Stochastic Geometry-Based Analysis of the Impact of Underlying Uncorrelated IoT Networks on LoRa Coverage

et al. 2022

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IoT networks are more and more present nowadays. Some IoT protocols share the same bandwidth leading to interference on neighboring networks and decrease of overall coverage. To contribute to this problem, an analytical study of the coverage of a LoRa network with underlying uncoordinated IoT networks for uplink transmissions is presented in this paper. Using stochastic geometry, closed form analytical expressions are proposed allowing to analyze the success and coverage probabilities for a LoRa network. An appropriate model of the path loss including real-life values is used to characterize the log-distance propagation parameters. The interference comes from both the LoRa network itself and the underlying IoT networks, modeled with an α-stable distribution based on recent measurements. It is shown that for an environment with a huge amount of surrounding uncoordinated IoT networks, the gateways deployment should be doubled to reach a decent coverage probability, compared to an environment where the underlying interfering networks are not considered.

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Section: ) Interference Identification and Modelsmentioning

confidence: 58%

Stochastic Geometry-Based Analysis of the Impact of Underlying Uncorrelated IoT Networks on LoRa Coverage

et al. 2022

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“…Moreover, researchers investigate the experimental validation for interference statistics in IoT in a particular area. In [186], the authors performed statistical analysis on unlicensed 863 MHz to 870 MHz frequency bands in different locations in Aalborg, Denmark. As a result, data measured at five other sites and confirmed the heavy-tailed nature of interference in IoT communications.…”

Section: ) Research Work Of Iot In Literaturementioning

confidence: 99%

“…Need to design of channel access strategies depending on user locations to limit the impact of interference [186] Examined The interference effect is higher for more IoT devices [190] Analyzed the interferences of guard band NB-IoT system in the coexistence of LTE system Proposed an uplink scheduling method for LTE (15 kHz) system to enhance the effectiveness of guard band NB-IoT (3.75 kHz) system…”

Section: ) Research Work Of Iot In Literaturementioning

confidence: 99%

Interference Management in 5G and Beyond Network: Requirements, Challenges and Future Directions

et al. 2021

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In the modern technological world, wireless communication has taken a massive leap from the conventional communication system to a new radio communication network. The novel concept of Fifth Generation (5G) cellular networks brings a combination of a diversified set of devices and machines with great improvement in a unique way compared to previous technologies. To broaden the user's experience, 5G technology provides the opportunity to meet the people's potential necessities for efficient communication. Specifically, researchers have designed a network of small cells with unfamiliar technologies that have never been introduced before. The new network design is an amalgamation of various schemes such as Heterogeneous Network (HetNet), Device-to-Device (D2D) communication, Internet of Things (IoT), Relay Node (RN), Beamforming, Massive Multiple Input Multiple Output (M-MIMO), millimeter-wave (mm-wave), and so on. Also, enhancement in predecessor's techniques is required so that new radio is compatible with a traditional network. However, the disparate technological models' design and concurrent practice have created an unacceptable intervention in each other's signals. These vulnerable interferences have significantly degraded the overall network performance. This review article scrutinizes the issues of interferences observed and studied in different structures and techniques of the 5G and beyond network. The study focuses on the various interference effect in HetNet, RN, D2D, and IoT. Furthermore, as an in-depth literature review, we discuss various types of interferences related to each method by studying the state-of-the-art relevant research in the literature. To provide new insight into interference issue management for the next-generation network, we address and explore various relevant topics in each section that help make the system more robust. Overall, this review article's goal is to guide all the stakeholders, including students, operators, engineers, and researchers, aiming to explore this promising research theme, comprehend interferences and their types, and related techniques to mitigate them. We also state methodologies proposed by the 3 rd Generation Partnership Project (3GPP) and present the promising and feasible research directions toward this challenging topic for the realization of 5G and beyond network.

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“…The impact of interference on IoT communications has been investigated in several experiments through radio measurements, including [28,[30][31][32]. Due to the crucial impact of interference on IoT communications, especially as shown in [28,30], different studies have investigated approaches for modeling and mitigation of interference in different use-cases [33,34]. In [35], a cooperative spectrum sensing approach for interference-aware communications has been developed.…”

Section: Related Workmentioning

confidence: 99%

Interference management for coexisting Internet of Things networks over unlicensed spectrum

Azari

Masoudi

2021

Ad Hoc Networks

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The main building block of Internet of Things (IoT) ecosystem is providing low-cost scalable connectivity for the radio/compute-constrained devices. This connectivity could be realized over the licensed spectrum like Narrowband-IoT (NBIoT) networks, or over the unlicensed spectrum like NBIoT-Unlicensed, SigFox and LoRa networks. In this paper, performance of IoT communications utilizing the unlicensed band, e.g. the 863-870 MHz in the Europe, in indoor use-cases like smart home, is investigated. More specifically, we focus on two scenarios for channel access management: i) coordinated access, where the activity patterns of gateways and sensors are coordinated with neighbors, and ii) uncoordinated access, in which each gateway and its associated nodes work independently from the neighbor ones. We further investigate a distributed coordination scheme in which, devices learn to coordinate their activity patterns leveraging tools from reinforcement learning. Closed-form expressions for capacity of the system, in terms of the number of sustained connections per gateway fulfilling a minimum quality of service (QoS) constraint are derived, and are further evaluated using simulations. Furthermore, delayreliability and inter network interference-intra network collision performance tradeoffs offered by coordination are figured out. The simulation results highlight the impact of system and traffic parameters on the performance tradeoffs and characterize performance regions in which coordinated scheme outperforms the uncoordinated one, and vice versa. For example, for a packet loss requirement of 1%, the number of connected devices could be doubled by coordination.

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Experimental Evidence for Heavy Tailed Interference in the IoT

Cited by 29 publications

References 15 publications

Stochastic Geometry-Based Analysis of the Impact of Underlying Uncorrelated IoT Networks on LoRa Coverage

Stochastic Geometry-Based Analysis of the Impact of Underlying Uncorrelated IoT Networks on LoRa Coverage

Interference Management in 5G and Beyond Network: Requirements, Challenges and Future Directions

Interference management for coexisting Internet of Things networks over unlicensed spectrum

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