Contract-Less Mobile Data Access Beyond 5G: Fully-Decentralized, High-Throughput and Anonymous Asset Trading Over the Blockchain

Xenakis, Dionysis; Tsiota, Anastasia; Koulis, Christos-Thrasyvoulos; Xenakis, Christos; Passas, Nikos

doi:10.1109/access.2021.3079625

Cited by 19 publications

(4 citation statements)

References 42 publications

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“…Based on the aforementioned inference, Algorithm 1 enables the MEC-empowered BS to infer on which video requests it can serve, by avoiding the admission of users with a minimum video bitrate requirement q min that is lower than the maximum feasible one. This video-aware user admission and slice control approach also enables inference on which particular video bitrates can be supported and at what cost, e.g., by taking into consideration the storage and network capacity costs per required unit; thus, enabling on-the-fly resource pricing and allocation of resources even to end users in emerging mobile data access with subscription-free mobile data access [21].…”

Section: Numerical Resultsmentioning

confidence: 99%

Admission control and end-to-end slicing for video streaming in MEC-empowered cellular networks

Xenakis

Tsiota

Passas

2022

GLOBECOM 2022 - 2022 IEEE Global Communications Conference

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Cache-and network-agnostic Dynamic Adaptive Streaming over HTTP creates oscillation dynamics upon delivering mobile video content over cache-and slice-enabled data networks. In this paper, we bring to light the problem of user admission control, end-to-end slicing and video bitrate selection in next-generation 5G and Beyond 5G mobile data networks, where some minimum throughput guarantees can be provided for both the user-to-base-station and base-stationto-content-delivery-network links. Accordingly, we propose an exact algorithm to identify feasible bitrates and their minimum throughput requirements when the multi-access edge computing (MEC) cellular base stations has cached a known subset of video segments, potentially encoded at different resolutions, for a tagged video file. Simulation results provide valuable insights for user admission control, end-to-end slicing, video bitrate selection and caching in slice-enabled MEC-empowered cellular networks.

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Section: Numerical Resultsmentioning

confidence: 99%

Admission control and end-to-end slicing for video streaming in MEC-empowered cellular networks

Xenakis

Tsiota

Passas

2022

GLOBECOM 2022 - 2022 IEEE Global Communications Conference

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“…The quantity of transaction tasks that the system can tackle in a unit of time is called throughput [44]. The higher the throughput, the higher the transaction processing efficiency of the system.…”

Section: ) Throughput Testmentioning

confidence: 99%

Improved PBFT Algorithm Based on K-Means Clustering for Emergency Scenario Swarm Robotic Systems

Sun,

Fan

2023

IEEE Access

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In order to solve the problem of data security and sharing efficiency caused by the complex and uncertain environment faced by swarm robotic systems in emergency scenarios, this paper designs a data security consensus algorithm based on blockchain technology. Aiming at the problems of high communication overhead, long consensus delay and low throughput when the traditional Practical Byzantine Fault Tolerance (PBFT) algorithm is applied to this scenario, a grouped practical Byzantine Fault Tolerance consensus algorithm based on K-means clustering is proposed. Firstly, the K-means clustering algorithm is used to group robotic nodes according to the location distribution of robotics in the emergency scenario. Secondly, a reputation mechanism is designed to dynamically evaluate the behaviour of robotic nodes in each group during the consensus process. Each consensus node is divided into master and slave chains according to its reputation score. The consensus task is firstly decomposed, and slave chains participate in the consensus in parallel. Finally, the master chain completes the global consensus, so as to reduce the communication times between nodes. The experimental results show that compared with the traditional PBFT, SG-PBFT and P-PBFT consensus algorithm, the proposed consensus algorithm effectively improves the system throughput, reduces the delay, reduces the communication overhead, and has a higher success rate of consensus. INDEX TERMS Swarm robotics, blockchain, PBFT, K-means clustering, master-slave multichain.

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“…Incentives and orchestration of various 5G domains are necessary to meet performance expectations. A novel BC-based paradigm for cellular data accessibility is proposed in [134], allowing major 5G stakeholders to sell, distribute, and utilize mobile edge networking assets in a decentralized, untraceable, and resilient manner.…”

Section: Incorporation Of Bct In Wireless Communication Networkmentioning

confidence: 99%

Qualitative Survey on Artificial Intelligence Integrated Blockchain Approach for 6G and Beyond

Pathak,

Pandya,

Bhatia

et al. 2023

IEEE Access

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Utilizing the 0.1 to 10 THz spectrum in the next-generation wireless communication networks holds potential for futuristic applications. However, managing resources to accommodate numerous devices raises privacy and security concerns. Further, technology proliferation entwines devices, infrastructure complexity, and resources. Indeed, the transition from 5G (fifth-generation) to 6G (sixth-generation) signifies a progression towards high-speed data rates, minimal latency, and seamless integration of artificial intelligence, enabling ground-breaking applications and services. However, it complicates network management, privacy, resource allocation, and data processing. Notably, integrating Blockchain Technology (BCT) and Machine Learning (ML) is a promising solution, enhancing security, decentralization, trust in ML decisions, and efficient data sharing. This survey thoroughly reviews the integrated ML and BCT, showcasing their collaborative enhancement of network security, decentralization, trust in ML decisions, immutability, and efficient model sharing. Furthermore, we also delve into various distinctive topics, such as BCT-enabled spectrum refarming, rate splitting multiple access, 6G radar-based communication, reconfigurable intelligent surfaces, visible light communication, and integrated sensing and communication. Moreover, it also explores the integration of ML and BCT in novel 6G communication technologies, including molecular, holographic, and semantic communication. Finally, critical open issues, challenges, solutions, and futuristic scope are identified for forthcoming researchers. INDEX TERMS Terahertz (THz) Communication, Artificial Intelligence (AI), Machine Learning (ML), Blockchain Technology (BCT), and Resource Allocation (RA).

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Contract-Less Mobile Data Access Beyond 5G: Fully-Decentralized, High-Throughput and Anonymous Asset Trading Over the Blockchain

Cited by 19 publications

References 42 publications

Admission control and end-to-end slicing for video streaming in MEC-empowered cellular networks

Admission control and end-to-end slicing for video streaming in MEC-empowered cellular networks

Improved PBFT Algorithm Based on K-Means Clustering for Emergency Scenario Swarm Robotic Systems

Qualitative Survey on Artificial Intelligence Integrated Blockchain Approach for 6G and Beyond

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