3G and 3.5G wireless network performance measured from moving cars and high-speed trains

Jang, Keon; Han, Mongnam; Cho, Soohyun; Ryu, Hyung-Keun; Lee, Jae-Hwa; Lee, Yeongseok; Moon, Sang Heup

doi:10.1145/1614255.1614261

Cited by 53 publications

(30 citation statements)

References 12 publications

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“…Previous work investigating performance of HSDPA (High Speed Data Packet Access), and CDMA 1x EV-DO (Code Division, Multiple Access, EvolutionData Optimized) networks show similar findings with variability in these data networks [10,12,8]. We also see this behavior in our experiments run on a HSDPA network.…”

Section: G Vs Wi-fi Uploadssupporting

confidence: 87%

An Experimental Performance Comparison of 3G and Wi-Fi

Gass

Diot²

2010

Lecture Notes in Computer Science

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Abstract. Mobile Internet users have two options for connectivity: pay premium fees to utilize 3G or wander around looking for open Wi-Fi access points. We perform an experimental evaluation of the amount of data that can be pushed to and pulled from the Internet on 3G and open Wi-Fi access points while on the move. This side-by-side comparison is carried out at both driving and walking speeds in an urban area using standard devices. We show that significant amounts of data can be transferred opportunistically without the need of always being connected to the network. We also show that Wi-Fi mostly suffers from not being able to exploit short contacts with access points but performs comparably well against 3G when downloading and even significantly better while uploading data.

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Section: G Vs Wi-fi Uploadssupporting

confidence: 87%

An Experimental Performance Comparison of 3G and Wi-Fi

Gass

Diot²

2010

Lecture Notes in Computer Science

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“…al. look at the retransmissions in HSDPA networks (3G, 3.5G) from moving cars and express trains [20]. Their results show that when the vehicles are on the move, the retransmission ratio increases up to 71 times higher than that in the stationary case, implying that the users with higher mobility will have to pay more if retransmission packets are accounted.…”

Section: Related Workmentioning

confidence: 99%

Towards accurate accounting of cellular data for TCP retransmission

Kune

Woo

et al. 2013

Proceedings of the 14th Workshop on Mobile Computing Systems and Applications

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The current architecture supporting data services to mobile devices is built below the network layer (IP) and users receive the payload at the application layer. Between them is the transport layer that can cause data consumption inflation due to the retransmission mechanism that provides reliable delivery. In this paper, we examine the accounting policies of five large cellular ISPs in the U.S. and South Korea. We look at their policies regarding the transport layer reliability mechanism with TCP's retransmission and show that the current implementation of accounting policies either fails to meet the billing fairness or is vulnerable to charge evasions. Three of the ISPs surveyed charge for all IP packets regardless of retransmission, allowing attackers to inflate a victim's bill by intentionally retransmitting packets. The other two ISPs deduct the retransmitted amount from the user's bill thus allowing tunneling through TCP retransmissions. We show that a "free-riding" attack is viable with these ISPs and discuss some of the mitigation techniques.

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“…Several empirical studies [1], [2], [3] have investigated the WWAN bandwidth performance in a vehicular scenario. A common observation is that the WWAN bandwidth deteriorates significantly under vehicular mobility as compared to a stationary environment.…”

Section: Related Workmentioning

confidence: 99%

“…Unlike wired networks, which have relatively stable bandwidth capacity, the WWAN bandwidth experienced by mobile users is largely dictated by the locationdependent wireless signal quality and the time-varying load dynamics in each cell. In a high-speed vehicular environment, a mobile user experiences frequent and significant bandwidth fluctuations [1], [2], [3], as a moving vehicle continuously changes its geographical location. It is well known that the location-dependent radio propagation characteristics, such as path loss, fading, and cochannel interference, affect the signal quality received by the mobile terminal [1].…”

Section: Introductionmentioning

confidence: 99%

Improving QoS in High-Speed Mobility Using Bandwidth Maps

Yao

Kanhere

Hassan

2012

IEEE Trans. on Mobile Comput.

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Abstract-It is widely evidenced that location has a significant influence on the actual bandwidth that can be expected from Wireless Wide Area Networks (WWANs), e.g., 3G. Because a fast-moving vehicle continuously changes its location, vehicular mobile computing is confronted with the possibility of significant variations in available network bandwidth. While it is difficult for providers to eliminate bandwidth disparity over a large service area, it may be possible to map network bandwidth to the road network through repeated measurements. In this paper, we report results of an extensive measurement campaign to demonstrate the viability of such bandwidth maps. We show how bandwidth maps can be interfaced with adaptive multimedia servers and the emerging vehicular communication systems that use on-board mobile routers to deliver Internet services to the passengers. Using simulation experiments driven by our measurement data, we quantify the improvement in Quality of Service (QoS) that can be achieved by taking advantage of the geographical knowledge of bandwidth provided by the bandwidth maps. We find that our approach reduces the frequency of disruptions in perceived QoS for both audio and video applications in high-speed vehicular mobility by several orders of magnitude.

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3G and 3.5G wireless network performance measured from moving cars and high-speed trains

Cited by 53 publications

References 12 publications

An Experimental Performance Comparison of 3G and Wi-Fi

An Experimental Performance Comparison of 3G and Wi-Fi

Towards accurate accounting of cellular data for TCP retransmission

Improving QoS in High-Speed Mobility Using Bandwidth Maps

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