Cooperative content delivery exploiting multiple wireless interfaces: methods, new technological developments, open research issues and a case study

Khan, Zaheer; Vasilakos, Athanasios V.; Barua, Bidushi; Shahabuddin, Shahriar; Ahmadi, Hamed

doi:10.1007/s11276-015-1070-5

Cited by 5 publications

(3 citation statements)

References 54 publications

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“…Another scenario would be that both V2V and V2I links run on the same technology, but on orthogonal channels, and where the V2V channels can be designed to be of larger bandwidth than the V2I ones. Some other multi-RAT network design considerations to avoid throughput bottlenecks are presented in [25].…”

Section: V2v+v2i Network Modelmentioning

confidence: 99%

Performance Analysis of RSU-based Multihomed Multilane Vehicular Networks

Kassir¹,

Caballero²,

Veciana³

et al. 2020

Preprint

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Motivated by the potentially high downlink traffic demands of commuters in future autonomous vehicles, we study a network architecture where vehicles use Vehicle-to-Vehicle (V2V) links to form relay network clusters, which in turn use Vehicleto-Infrastructure (V2I) links to connect to one or more Road Side Units (RSUs). Such cluster-based multihoming offers improved performance, e.g., in coverage and per user shared rate, but depends on the penetration of V2V-V2I capable vehicles and possible blockage, by legacy vehicles, of line of sight based V2V links, such as those based on millimeter-wave and visible light technologies. This paper provides a performance analysis of a typical vehicle's connectivity and throughput on a highway in the free-flow regime, exploring its dependence on vehicle density, sensitivity to blockages, number of lanes and heterogeneity across lanes. The results show that, even with moderate vehicle densities and penetration of V2V-V2I capable vehicles, such architectures can achieve substantial improvements in connectivity and reduction in per-user rate variability as compared to V2I based networks. The typical vehicle's performance is also shown to improve considerably in the multilane highway setting as compared to a single lane road. This paper also sheds light on how the network performance is affected when vehicles can control their relative positions, by characterizing the connectivitythroughput tradeoff faced by the clusters of vehicles.

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Section: V2v+v2i Network Modelmentioning

confidence: 99%

Performance Analysis of RSU-based Multihomed Multilane Vehicular Networks

Kassir¹,

Caballero²,

Veciana³

et al. 2020

Preprint

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“…The scenario of delivering same content to a group of users by using unicast cellular and D2D links is considered in [7]. A comprehensive survey on exploiting multiple available wireless interfaces to deliver content to cooperative mobile devices is provided in [8]. This line of work demonstrates the practicality of simultaneous operation of multiple interfaces including cellular and shortrange D2D links.…”

Section: Related Workmentioning

confidence: 99%

Device-to-Device Networking Meets Cellular via Network Coding

Keshtkarjahromi

Seferoğlu

Ansari

et al. 2018

IEEE/ACM Trans. Networking

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Utilizing device-to-device (D2D) connections among mobile devices is promising to meet the increasing throughput demand over cellular links. In particular, when mobile devices are in close proximity of each other and are interested in the same content, D2D connections such as Wi-Fi Direct can be opportunistically used to construct a cooperative (and jointly operating) cellular and D2D networking system. However, it is crucial to understand, quantify, and exploit the potential of network coding for cooperating mobile devices in the joint cellular and D2D setup. In this paper, we consider this problem, and (i) develop a network coding framework, namely NCMI, for cooperative mobile devices in the joint cellular and D2D setup, where cellular and D2D link capacities are the same, and (ii) characterize the performance of the proposed network coding framework, where we use packet completion time, which is the number of transmission slots to recover all packets, as a performance metric. We demonstrate the benefits of our network coding framework through simulations.

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“…The idea of adopting short-range links for energy consumption reduction is not novel per-se, as several contributions in the literature investigate on this aspect. A very recent survey of cooperative content delivery techniques based on multiple wireless interfaces available on mobile devices has been presented in [51]. In particular, wireless cooperative networking, guaranteeing performance enhancements to handheld devices, is a well investigated research field.…”

Section: Low Energy Consumption Communication D2d Communications Guarmentioning

confidence: 99%

Device-to-Device Communications for 5G Internet of Things

Militano¹,

Araniti²,

Condoluci³

et al. 2015

EAI Endorsed Trans IoT

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The proliferation of heterogeneous devices connected through large-scale networks is a clear sign that the vision of the Internet of Things (IoT) is getting closer to becoming a reality. Many researchers and experts in the field share the opinion that the next-to-come fifth generation (5G) cellular systems will be a strong boost for the IoT deployment. Device-to-Device (D2D) appears as a key communication paradigm to support heterogeneous objects interconnection and to guarantee important benefits. In this paper, we thoroughly discuss the added-value features introduced by cellular/noncellular D2D communications and its potential in efficiently fulfilling IoT requirements in 5G networks. State-of-the-art solutions, enabling radio technologies, and current standardization activities for D2D communications are surveyed and their pros and cons with reference to manifold IoT use cases pointed out. Future research directions are then presented towards a fully converged 5G IoT ecosystem.

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Cooperative content delivery exploiting multiple wireless interfaces: methods, new technological developments, open research issues and a case study

Cited by 5 publications

References 54 publications

Performance Analysis of RSU-based Multihomed Multilane Vehicular Networks

Performance Analysis of RSU-based Multihomed Multilane Vehicular Networks

Device-to-Device Networking Meets Cellular via Network Coding

Device-to-Device Communications for 5G Internet of Things

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