Device-Customized Multi-Carrier Network Access on Commodity Smartphones

Li, Yuanjie; Peng, Chunyi; Deng, Haotian; Yuan, Zengwen; Tu, Guan-Hua; Li, Jiayao; Lu, Songwu; Li, Xi

doi:10.1109/tnet.2018.2869492

Cited by 12 publications

(10 citation statements)

References 22 publications

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“…Prior research focuses on end user multihoming, however, multihomed mobile infrastructure has not been considered in the [36,37] and homogeneous technologies (e.g. WiFi-WiFi [38,39] and Cellular-Cellular [41,42]) and focus on transport protocol performance [43] and design [44][45][46][47]. All of these works, except [38] optimize the performance of a single end user.…”

Section: Mobile Wireless Network As An Emergent Infrastructurementioning

confidence: 99%

Towards a Socio-Technical Framework for Bridging the Digital Divide in Rural Emergency Preparedness and Response

Gascó-Hernández¹,

Zheleva

Bogdanov

et al. 2019

Proceedings of the 20th Annual International Conference on Digital Government Research

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In rural areas, emergency preparedness and response (ERP) could be greatly affected by the lack of access to technology and the Internet and, therefore, to timely and accurate information about a natural or human-made disaster. This paper proposes a socio-technical framework that integrates a potential technology solution, with optimization methods, and strategies for user adoption. We argue that in order to bridge the digital divide in rural ERP, all these factors need to be systematically considered and integrated into a comprehensive framework, which could guide potential implementation.

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Section: Mobile Wireless Network As An Emergent Infrastructurementioning

confidence: 99%

Towards a Socio-Technical Framework for Bridging the Digital Divide in Rural Emergency Preparedness and Response

Gascó-Hernández¹,

Zheleva

Bogdanov

et al. 2019

Proceedings of the 20th Annual International Conference on Digital Government Research

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“…In terms of state of the art technical implementations of these mechanisms, [1] describes a network switching implementation for off-the-shelf Google smartphones based on the Google Fi MVNO 2 that has an average switching time of 8.8s and a potential lower bound switching time of 1.5s. While [2] describes a multihoming implementation for off-the-shelf smartphones over LTE and Wifi with near optimal aggregation performance.…”

Section: Definitionsmentioning

confidence: 99%

“…The absence of operator driven mechanisms is primarily a result of regulatory uncertainty and the significant business and technical complexity of such schemes. Whereas the absence of user driven mechanisms is primarily a result of operator resistance as such mechanisms often require low switching costs 1 which potentially threaten operators current business models.…”

Section: Introductionmentioning

confidence: 99%

“…The two mechanisms are fully defined in Section 2.1.Given the potential of these mechanisms, a key driver for spurring adoption is understanding the scenarios in which these mechanisms will benefit users and whether the actual user benefit is substantial. However, prior work [1,2,3,4] on these mechanisms has primarily focused on low level technical implementations rather than higher level system analyses. Furthermore, these technical works have not applied user-centric QoE metrics such as mean opinion score (MOS) in their analyses.…”

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confidence: 99%

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Benefits of mobile end user network switching and multihoming

Finley¹,

Basaure²

2018

Computer Communications

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Mobile users have not been able to exploit spatio-temporal differences between individual mobile networks operators for a variety of reasons. End user network switching and multihoming are two promising mechanisms that could allow such exploitation. However these mechanisms have not been thoroughly explored at a general system level with QoE metrics. Therefore, in this work we analyze these mechanisms in a variety of diverse scenarios through a system level model based on an agent based modeling framework.In terms of results, we find that in all scenarios end user network switching provides significant benefits in terms of both throughput and mean opinion score as the number of available networks increases. However, contrastingly, end user multihoming in most scenarios does not provide significant benefits over network switching given the same number of available networks. The major reason is inefficient radio resource allocation resulting from individual networks not taking the multihoming nature of end users into account. Though, in low user density situations this inefficiency is not a problem and multihoming does provide increased throughput though not increased mean opinion scores. Finally, scenarios that vary the fraction of users adopting multihoming suggests that both early and late adopters will have similar gains over users not adopting multihoming. Thus the adoption dynamics of multihoming appear favorable. Overall, the results support the applicability of end user network switching for improving mobile user experience and the applicability of end user multihoming in more limited situations. (A. Basaure)1 The currently high switching costs (enabled by the entrenched MNO model in many countries) result in users switching MNOs at a timescale of years. This switching frequency is orders of magnitude too slow to significantly exploit the spatiotemporal differences between mobile networks.Given this operator resistance, mechanisms that do not require operator support are particularly interesting. In that vein, end user network switching is a mechanism that does not require operator support because the network switching is assumed to occur completely on the end user device. In addition, the related mechanism of end user multihoming (an end user transmitting over several networks simultaneously and thus aggregating capacity) does not require operator support given a higher layer multipath protocol such as MPTCP. The two mechanisms are fully defined in Section 2.1.Given the potential of these mechanisms, a key driver for spurring adoption is understanding the scenarios in which these mechanisms will benefit users and whether the actual user benefit is substantial. However, prior work [1,2,3,4] on these mechanisms has primarily focused on low level technical implementations rather than higher level system analyses. Furthermore, these technical works have not applied user-centric QoE metrics such as mean opinion score (MOS) in their analyses. Therefore, in this work we examine these two mechanisms through a syst...

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“…Early systems support multi-carrier access inside commodity phones using dual SIM cards [11,18] or a single SIM card [12][13][14]. Recent research has focused on improving various aspects of multi-carrier access such as performance [29,32] and concurrent access to multiple carriers in 5G [28]. We complement prior work by investigating policy management for multi-carrier access, a topic not studied so far.…”

Section: Related Workmentioning

confidence: 99%

Resolving Policy Conflicts in Multi-Carrier Cellular Access

Yuan

et al. 2018

Proceedings of the 24th Annual International Conference on Mobile Computing and Networking

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Multi-carrier cellular access dynamically selects a preferred wireless carrier by leveraging the availability and diversity of multiple carrier networks at a location. It offers an alternative to the dominant single-carrier paradigm, and shows early signs of success through the operational Project Fi by Google. In this paper, we study the important, yet largely unexplored, problem of inter-carrier switching for multi-carrier access. We show that policy conflicts can arise between interand intra-carrier switching, resulting in oscillations among carriers in the worst case akin to BGP looping. We derive the conditions under which such oscillations occur for three categories of popular policy, and validate them with Project Fi whenever possible. We provide practical guidelines to ensure loop-freedom and assess them via trace-driven emulations.

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Device-Customized Multi-Carrier Network Access on Commodity Smartphones

Cited by 12 publications

References 22 publications

Towards a Socio-Technical Framework for Bridging the Digital Divide in Rural Emergency Preparedness and Response

Towards a Socio-Technical Framework for Bridging the Digital Divide in Rural Emergency Preparedness and Response

Benefits of mobile end user network switching and multihoming

Resolving Policy Conflicts in Multi-Carrier Cellular Access

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