Beyond 5G: Hybrid End-to-End Quality of Service Provisioning in Heterogeneous IoT Networks

Asad, Muhammad; Basit, Abdul; Qaisar, Saad; Ali, Mudassar

doi:10.1109/access.2020.3032704

Cited by 27 publications

(10 citation statements)

References 41 publications

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“…Asad et al 47 also focused on the problem of increasing traffic loads in Beyond 5G networks. They proposed a hybrid QoS provisioning architecture also based on a 4‐layer model (i.e., end device, access, controller, and core layers), which engages both clients and controllers in the process of QoS provisioning.…”

Section: Qos‐aware Architectures and Framework In Iotmentioning

confidence: 99%

QoS‐aware IoT networks and protocols: A comprehensive survey

Dilek

Irgan

Guzel

et al. 2022

Int J Communication

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Summary The vast number of smart cloud applications that communicate with the “things” over a variety of physical networks and communication protocols contribute to the rise of complexity in Internet of Things (IoT) systems. The diversity of end‐user requirements related to the volume of generated data, its variety, and the velocity of its transmission makes quality of service (QoS) provisioning even more crucial and challenging in IoT. This paper provides a comprehensive and up‐to‐date survey of QoS support in IoT networks and communication protocols. An analysis of the QoS‐aware IoT architectures, layer‐dependent QoS metrics, and network resource optimization methods utilized in IoT systems are given. The limitations of the current state‐of‐the‐art studies for efficient delivery of QoS metrics are discussed. The paper concludes with future research directions on end‐to‐end QoS provisioning in IoT.

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Section: Qos‐aware Architectures and Framework In Iotmentioning

confidence: 99%

QoS‐aware IoT networks and protocols: A comprehensive survey

Dilek

Irgan

Guzel

et al. 2022

Int J Communication

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show abstract

“…Similarly, the RE-CENT server should be able to estimate its capability to carry out a service request on the basis of the parameters specified by the RE-CENT client and the locally available asset pools (content, spectrum, Internet connectivity, processing and storage capacity, RAT interfaces, etc.). Current literature on QoS/QoE estimation is vast [68]- [72], including a wide range of KPIs and methodologies for QoS/QoE service provisioning at both the client and the server sides. QoS/QoE parameter values specified during this phase, are formalized and adjusted during the negotiation and parameterization phase (section III.C).…”

Section: B Service Discovery and Pairingmentioning

confidence: 99%

“…The employment of user-driven QoE provisioning is also assumed under the RE-CENT mobile data access model. Existing QoE estimation methodologies can be used to this end [12], whereas HTTP adaptive video streaming (HAS) for end-to-end video playback management is another relevant technology that enables end users to adapt video quality based on the availability of network assets at the server side [72], or the channel status [69], [75]. To this end, novel QoE management mechanisms can be utilized to enable sufficient network exposure from MNOs to the RE-CENT clients and video content providers, enabling network-aware video segment selection and caching in the context of HAS.…”

Section: Online Service Management and Chargingmentioning

confidence: 99%

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

Xenakis¹,

Tsiota

Koulis³

et al. 2021

IEEE Access

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The new "status quo" created by the emerging integration of Multi-Access Edge Computing (MEC) and Radio Access Network (RAN) infrastructures, combined with the openness of the 5G service market, have set new standards on how the multitude of 5G service domains should be incentivized and coordinated to comply with the performance requirements set on a per session basis. In this paper, we revisit the predominant offline contract-driven mobile data access model enabling users to gain access to the infrastructure of only a few network operators and propose a new blockchain-backed mobile data access model where the key 5G stakeholders can trade, share and consume mobile edge network assets (access to the internet, spectrum, processing, storage, local content etc.) in a fully decentralized, anonymous and highly-robust fashion. Blockchain-backed mobile data access should address critical practical challenges of blockchain decentralization, scalability and security in the context of 5G and Beyond networks. Accordingly, we provide a meticulous survey of existing solutions in the aforementioned three areas and present a comprehensive holistic framework of protocols to address the key challenges identified, including a delegated Proof-of-Stake (DPoS) for distributed blockchain consensus over 5G and Beyond mobile data networks, a future-proof smart-contract enabled payment relay service enabling instant off-chain payments in a highly robust fashion as well as a hybrid mixing protocol that enables payment relays to act as anonymous payment hubs while addressing the unique challenges opposed by the joint blockchain and network level interaction of the 5G and Beyond service components.A wide range of practical implications and mitigation measures for dishonest operation of the blockchain nodes are investigated and sophisticated yet highly-robust incentive engineering mechanisms are derived. Detailed numerical results also accompany the paper, bringing to light the unique performance trade-offs and valuable design guidelines towards blockchain-backed mobile data access for 5G and Beyond mobile data networks.INDEX TERMS mobile data access, 5G, 6G, blockchain, smart contracts, off-chain payments, anonymity, payment channels, delegated proof of stake (DPoS)

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“…With the rise of 5G and Internet of Things (IoT) technologies, it is expected that the network traffic and the number of active devices increase dramatically over the next few coming years [3]. In this context, different applications with different network requirements will demand customized network configurations [102].…”

Section: Introductionmentioning

confidence: 99%

Service Function Chain Placement in Distributed Scenarios: A Systematic Review

et al. 2021

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The network function virtualization (NFV) paradigm is an emerging technology that provides network flexibility by allowing the allocation of network functions over commodity hardware, like legacy servers in an IT infrastructure. In comparison with traditional network functions, implemented by dedicated hardware, the use of NFV reduces the operating and capital expenses and improves service deployment. In some scenarios, a complete network service can be composed of several functions, following a specific order, known as a service function chain (SFC). SFC placement is a complex task, already proved to be NP-hard. Moreover, in highly distributed scenarios, the network performance can also be impacted by other factors, such as traffic oscillations and high delays. Therefore, a given SFC placement strategy must be carefully developed to meet the network operator service constraints. In this paper, we present a systematic review of SFC placement advances in dis-

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Beyond 5G: Hybrid End-to-End Quality of Service Provisioning in Heterogeneous IoT Networks

Cited by 27 publications

References 41 publications

QoS‐aware IoT networks and protocols: A comprehensive survey

QoS‐aware IoT networks and protocols: A comprehensive survey

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

Service Function Chain Placement in Distributed Scenarios: A Systematic Review

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