Cellular traffic offloading through opportunistic communications

Han, Bo; Hui, Pan; Kumar, V. S. Anil; Marathe, Madhav V.; Pei, Guanhong; Srinivasan, Aravind

doi:10.1145/1859934.1859943

Cited by 239 publications

(180 citation statements)

References 28 publications

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“…To the best of our knowledge, Han et al are the first to exploit opportunistic communication to alleviate data traffic in cellular networks [22]. However, conversely from ours, their solutions only apply to information dissemination problems such as broadcasting in multi-hop opportunistic forwarding.…”

Section: Related Workmentioning

confidence: 95%

VIP delegation: Enabling VIPs to offload data in wireless social mobile networks

Barbera

Stefa

Viana

et al. 2011

2011 International Conference on Distributed Computing in Sensor Systems and Workshops (DCOSS)

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Abstract-We propose the use of opportunistic delegation as a data traffic offload solution to the recent boost up of mobile data consumption in metropolitan areas, by investigating two main questions: (i) "How to gain insights into social mobile networking scenarios?" and (ii) "How to utilize such insights to design solutions to alleviate overloaded 3G networks?". The purpose of our solution is to leverage usage of mobile applications requiring large data transfers by channeling the traffic to a few, socially selected important users in the network called VIP delegates. The proposed VIP selection strategies are based on social network properties and are compared to the optimal solution (that covers 100% of users with minimum number of VIPs). Our extensive experiments with real and synthetic traces show the effectiveness of VIP delegation both in terms of coverage and required number of VIPs -down to 7% in average of VIPs are needed in campuslike scenarios to offload about 90% of the traffic.

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Section: Related Workmentioning

confidence: 95%

VIP delegation: Enabling VIPs to offload data in wireless social mobile networks

Barbera

Stefa

Viana

et al. 2011

2011 International Conference on Distributed Computing in Sensor Systems and Workshops (DCOSS)

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“…Han et al [6] proposed to offload traffic from the cellular network to opportunistic peer-to-peer mobile network by selecting k users as the initial set to push the contents. Afterward, the initial set of users aids the propagation of the contents to further users through short-range wireless connectivities (e.g., Bluetooth and ad hoc WiFi).…”

Section: B Opportunistic Peer-to-peer Offloadingmentioning

confidence: 99%

“…We focus on the evaluation of opportunistic WiFi offloading in order to offer an in-depth analysis and refer interested readers to Han et al [6] for the evaluation of cellular traffic offloading through opportunistic communications. We evaluate the performance of MADNet through an eventdriven simulator.…”

Section: Trace-driven Simulationmentioning

confidence: 99%

Cellular Traffic Offloading through WiFi Networks

Dimatteo

Hui

Han

et al. 2011

2011 IEEE Eighth International Conference on Mobile Ad-Hoc and Sensor Systems

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272

153

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Abstract-Cellular networks are currently facing the challenges of mobile data explosion. High-end mobile phones and laptops double their mobile data traffic every year and this trend is expected to continue given the rapid development of mobile social applications. It is imperative that novel architectures be developed to handle such voluminous mobile data. In this paper, we propose and evaluate an integrated architecture exploiting the opportunistic networking paradigm to migrate data traffic from cellular networks to metropolitan WiFi access points (APs). To quantify the benefits of deploying such an architecture, we consider the case of bulk file transfer and video streaming over 3G networks and simulate data delivery using real mobility data set of 500 taxis in an urban area. We are the first to quantitatively evaluate the gains of citywide WiFi offloading using large scale real traces. Our results give the numbers of APs needed for different requirements of quality of service for data delivery in large metropolitan area. We show that even with a sparse WiFi network the delivery performance can be significantly improved. This effort serves as an important feasibility study and provides guidelines for operators to evaluate the possibility and cost of this solution.

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“…Also, opportunistic peer-to-peer offloading technique was proposed in [7]. It is used to offload traffic from the cellular network to opportunistic peer-to-peer mobile network by selecting some users as the initial set to push the contents.…”

Section: Introductionmentioning

confidence: 99%

Load balancing in 5G Networks

Tsirakis¹,

Matzoros²,

Sioutis

et al. 2017

MATEC Web Conf.

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Abstract. The expected huge increase of mobile devices and user data demand by 2020 will stress the current mobile network in an unprecedented way. The future mobile networks must meet several strong requirements regarding the data rate, latency, quality of service and experience, mobility, spectrum and energy efficiency. Therefore, efforts for more efficient mobile network solutions have been recently initiated. To this direction, load balancing has attracted much attention as a promising solution for higher resource utilization, improved system performance and decreased operational cost. It is an effective method for balancing the traffic and alleviating the congestion among heterogeneous networks in the upcoming 5G networks. In this paper, we focus on an offloading scenario for load balancing among LTE and Wi-Fi networks. Additionally, network graphs methodology and its abstracted parameters are investigated in order to better manage wireless resource allocation among multiple connections. The COHERENT architectural framework, which consists of two main control components, makes use of such abstracted network graphs for controlling or managing various tasks such as traffic steering, load balancing, spectrum sharing and RAN sharing. As a result, the COHERENT project eventually develops a unified programmable control framework used to efficiently coordinate the underlying heterogeneous mobile networks as a whole.

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Cellular traffic offloading through opportunistic communications

Cited by 239 publications

References 28 publications

VIP delegation: Enabling VIPs to offload data in wireless social mobile networks

VIP delegation: Enabling VIPs to offload data in wireless social mobile networks

Cellular Traffic Offloading through WiFi Networks

Load balancing in 5G Networks

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