Energy Efficient Communications for Reliable IoT Multicast 5G/Satellite Services

Chiti, Francesco; Fantacci, R.; Pierucci, Laura

doi:10.3390/fi11080164

Cited by 24 publications

(17 citation statements)

References 30 publications

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“…Since each channel access attempt is independent, the channel access attempt can be described by a Geometric process, and mean number of attempts for a success access can be determined. Given that each channel access consumes the same energy, the mean number of a successful attempt can be used directly to describe the mean normalized energy consumption [38]. To illustrate the energy efficiency of the proposed method in various satellite environments, we again compare the proposed method with our previously presented method [19] for different channel conditions in Fig.…”

Section: Msementioning

confidence: 99%

Energy-Efficient Random Access for LEO Satellite-Assisted 6G Internet of Remote Things

Zhen

Bashir

et al. 2021

IEEE Internet Things J.

182

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Satellite communication system is expected to play a vital role for realizing various remote internet of things (IoT) applications in 6G vision. Due to unique characteristics of satellite environment, one of the main challenges in this system is to accommodate massive random access (RA) requests of IoT devices while minimizing their energy consumptions. In this paper, we focus on the reliable design and detection of RA preamble to effectively enhance the access efficiency in highdynamic low-earth-orbit (LEO) scenarios. To avoid additional signaling overhead and detection process, a long preamble sequence is constructed by concatenating the conjugated and circularly shifted replicas of a single root Zadoff-Chu (ZC) sequence in RA procedure. Moreover, we propose a novel impulse-like timing metric based on length-alterable differential cross-correlation (LDCC), that is immune to carrier frequency offset (CFO) and capable of mitigating the impact of noise on timing estimation. Statistical analysis of the proposed metric reveals that increasing correlation length can obviously promote the output signal-to-noise power ratio, and the first-path detection threshold is independent of noise statistics. Simulation results in different LEO scenarios validate the robustness of the proposed method to severe channel distortion, and show that our method can achieve significant performance enhancement in terms of timing estimation accuracy, success probability of first access, and mean normalized access energy, compared with the existing RA methods.

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Section: Msementioning

confidence: 99%

Energy-Efficient Random Access for LEO Satellite-Assisted 6G Internet of Remote Things

Zhen

Bashir

et al. 2021

IEEE Internet Things J.

182

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“…Energy consumption is another challenge under investigation to fulfill the energy efficiency of 5G KPI also in satellite networks considering IoT/M2M data traffic flows [43].…”

Section: Iot and Satellitementioning

confidence: 99%

IoT and UAV Integration in 5G Hybrid Terrestrial-Satellite Networks

Marchese

Moheddine

Patrone

2019

Sensors

115

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The Fifth Generation of Mobile Communications (5G) will lead to the growth of use cases demanding higher capacity and a enhanced data rate, a lower latency, and a more flexible and scalable network able to offer better user Quality of Experience (QoE). The Internet of Things (IoT) is one of these use cases. It has been spreading in the recent past few years, and it covers a wider range of possible application scenarios, such as smart city, smart factory, and smart agriculture, among many others. However, the limitations of the terrestrial network hinder the deployment of IoT devices and services. Besides, the existence of a plethora of different solutions (short vs. long range, commercialized vs. standardized, etc.), each of them based on different communication protocols and, in some cases, on different access infrastructures, makes the integration among them and with the upcoming 5G infrastructure more difficult. This paper discusses the huge set of IoT solutions available or still under standardization that will need to be integrated in the 5G framework. UAVs and satellites will be proposed as possible solutions to ease this integration, overcoming the limitations of the terrestrial infrastructure, such as the limited covered areas and the densification of the number of IoT devices per square kilometer.

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“…Several approaches have been previously considered to achieve energy efficiency within an NB-IoT system at various network layers [ 42 ]. One such technique used at the network layer includes minimizing data traffic using data dissemination, data aggregation (network coding) but also network programming [ 43 ].…”

Section: Related Workmentioning

confidence: 99%

A Novel Spread Spectrum and Clustering Mixed Approach with Network Coding for Enhanced Narrowband IoT (NB-IoT) Scalability

Migabo

Djouani

Kurien

2020

Sensors

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The Narrowband Internet of Things (NB-IoT) is a very promising licensed Internet of things (IoT) technology for accommodating massive device connections in 5G and beyond. To enable network scalability, this study proposes a two-layers novel mixed approach that aims not only to create an efficient spectrum sharing among the many NB-IoT devices but also provides an energy-efficient network. On one layer, the approach uses an Adaptive Frequency Hopping Spread Spectrum (AFHSS) technique that uses a lightweight and secure pseudo-random sequence to exploit the channel diversity, to mitigate inter-link and cross-technology interference. On the second layer, the approach consists of a clustering and network coding (data aggregation) approach based on an energy-signal strength mixed gradient. The second layer contributes to offload the BS, allows for energy-efficient network scalability, helps balance the energy consumption of the network, and enhances the overall network lifetime. The proposed mixed strategy algorithm is modelled and simulated using the Matrix Laboratory (MATLAB) Long Term Evolution (LTE) toolbox. The obtained results reveal that the proposed mixed approach enhances network scalability while improving energy efficiency, transmission reliability, and network lifetime when compared to the existing spread spectrum only, nodes clustering only, and mixed approach with no network coding approaches.

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Energy Efficient Communications for Reliable IoT Multicast 5G/Satellite Services

Cited by 24 publications

References 30 publications

Energy-Efficient Random Access for LEO Satellite-Assisted 6G Internet of Remote Things

Energy-Efficient Random Access for LEO Satellite-Assisted 6G Internet of Remote Things

IoT and UAV Integration in 5G Hybrid Terrestrial-Satellite Networks

A Novel Spread Spectrum and Clustering Mixed Approach with Network Coding for Enhanced Narrowband IoT (NB-IoT) Scalability

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