NFV and Blockchain Enabled 5G for Ultra-Reliable and Low-Latency Communications in Industry: Architecture and Performance Evaluation

Huang, Haojun; Miao, Wang; Min, Geyong; Tian, Jialin; Alamri, Atif

doi:10.1109/tii.2020.3036867

Cited by 20 publications

(8 citation statements)

References 23 publications

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“…The authors claimed that by applying the floor-and-trade rule, the system could regulate the token pricing based on the performance of the overall trades in SSM, and this methodology minimized the monitoring overhead. H. Huang et al in [12] proposed a Network Functions Virtualization (NFV) and blockchain-enabled 5G architecture for ultra-reliable and low-latency (URLLC) communications. The authors discussed a spectrum sharing mechanism built on NFV, blockchain, and software-defined networking.…”

Section: B Role Of Blockchain For Dynamic Spectrum Sharingmentioning

confidence: 99%

Proof of Sense: A Novel Consensus Mechanism for Spectrum Misuse Detection

Fernando

Dadallage

Gamage

et al. 2022

IEEE Trans. Ind. Inf.

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Optimal use of scarce radio spectrum is essential in the proliferation of beyond 5G networks, and promising blockchain technology offers various benefits for the spectrum management. However, existing blockchain-based solutions are expensive, non-optimized, and lack spectrum fraud detection. This paper proposes a novel consensus mechanism for a blockchain-based Dynamic Spectrum Access (DSA) system. The proposed "Proof-of-Sense" consensus mechanism operates based on spectrum sensing procedures rather than cryptographic calculations. It is specially designed to address fraudulent/unauthorized access to the spectrum by analyzing the sensed spectrum data. The core of the consensus mechanism is a cryptographic key sharing mechanism inspired by Shamir's secret sharing scheme. Moreover, the proposed DSA system can enable different micro-services such as automated spectrum auctions, payment and penalty handling, and spectrum fraud detection. A proof-of-concept based on experimental approaches coupled with Matlab simulations is presented to analyze the performance of the proposed consensus mechanism.

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Section: B Role Of Blockchain For Dynamic Spectrum Sharingmentioning

confidence: 99%

Proof of Sense: A Novel Consensus Mechanism for Spectrum Misuse Detection

Fernando

Dadallage

Gamage

et al. 2022

IEEE Trans. Ind. Inf.

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“…We indicated the average arrival rate of the Q1-flow as 𝜆 𝑄1 . Based on [19], the moment generating function of 𝐴 𝑄1 (𝑠, 𝑡) can be expressed as: 𝑀 𝐴 𝑄1 (𝜃, 𝑠, 𝑡) = 𝔼(𝑒 𝜃𝐴 𝑄1 (𝑠,𝑡) ) = 𝑒 𝜆 𝑄1 (𝑡−𝑠)(𝑒 𝜃 −1) = 𝜋 𝑄1 𝑡−𝑠 (𝜃).…”

Section: B Mathematical Modeling Of Data-flows and Service Processesmentioning

confidence: 99%

Reliability and robust resource allocation for Cache-enabled HetNets: QoS-aware mobile edge computing

Lan

Mirzaei

et al. 2022

Reliability Engineering & System Safety

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“…We indicated the average arrival rate of the Q1-flow as 1 . Based on [19], the moment generating function of 1 ( , ) can be expressed as:…”

Section: B Mathematical Modeling Of Data-flows and Service Processesmentioning

confidence: 99%

QoS-aware Resource Allocation for Live Streaming in Edge-Clouds Aided HetNets Using Stochastic Network Calculus

Mirzaei

2021

Preprint

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Mobile edge computing (MEC) is a key feature of next generation mobile networks aimed at providing a variety of services for different applications by performing related processing tasks closer to the user equipment. Edge clouds can be installed as an interface between the cellular networks and the core to provide the required services based on the known concept of the MEC networks. Nonetheless, the problem of green networking will be of great importance in such networks. This paper presents an energy-efficient stochastic network calculus (SNC) framework to control MEC data flows. In accordance with the entrance processes of different QoS-class data flows, closed-form problems were formulated to determine the correlation between resource utilization and the violation probability of each data flow. Also, in the access layer, this paper proposes a dynamic user association and resource allocation approach which maximizes the overall energy efficiency of cache-enabled cellular networks in addition to provide the superior fairness level for UEs. In this energy-cooperative approach, the power can be shared among the cells using a grid network. This model also performs routing in the multi-hop backhaul to efficiently use the existing infrastructure of small cell networks for simultaneous dual-hop transmissions. The simulation results exhibit that the proposed approach can effectively increase the user throughput and the total power efficiency while guaranteeing the acceptable fairness level for uniform and hotspot UE distribution models. It also proved that the energy utilization index and the system data rate can be significantly improved.

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NFV and Blockchain Enabled 5G for Ultra-Reliable and Low-Latency Communications in Industry: Architecture and Performance Evaluation

Abstract: The version presented here may differ from the published version. If citing, you are advised to consult the published version for pagination, volume/issue and date of publication

Cited by 20 publications

References 23 publications

Proof of Sense: A Novel Consensus Mechanism for Spectrum Misuse Detection

Proof of Sense: A Novel Consensus Mechanism for Spectrum Misuse Detection

Reliability and robust resource allocation for Cache-enabled HetNets: QoS-aware mobile edge computing

QoS-aware Resource Allocation for Live Streaming in Edge-Clouds Aided HetNets Using Stochastic Network Calculus

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