Measured performance of GSM, HSCSD and GPRS

Korhonen, Jani; Aalto, O.; Gurtov, Andrei; Lamanen, H.

doi:10.1109/icc.2001.937138

Cited by 45 publications

(26 citation statements)

References 5 publications

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“…Possible causes for long delay spikes include moving out of radio coverage, handover between cells and yielding to high priority traffic. [3] reports on measurements from a relatively early GPRS setup, where most problems seem to be associated with mobile connections and automatic link adaption. The results of passively monitoring live GPRS/UMTS networks are shown in [4], [5].…”

Section: Related Workmentioning

confidence: 99%

Spurious TCP Timeouts in 802.11 Networks

Malone¹,

Leith²,

Aggarwal³

et al. 2008

Proceedings of the 6th Intl Symposium on Modeling and Optimization

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Section: Related Workmentioning

confidence: 99%

Spurious TCP Timeouts in 802.11 Networks

Malone¹,

Leith²,

Aggarwal³

et al. 2008

Proceedings of the 6th Intl Symposium on Modeling and Optimization

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“…We use [10] as the conceptual framework to explain the monitoring service delivery. Service users access the underlying service, provided by an application protocol, at Service Access Points (APP_SAP in Figure 3) and exchange at this SAP Service Data Units (SDU) 4 central controlling unit of a Body Area Network worn by a patient 5 security, control, management, and data storage sub-system containing the vital signs data. The application protocol entities, residing at the MBU and BEsys, access the transport service at its service access points.…”

Section: B Measurements Preparationmentioning

confidence: 99%

“…data) and is implemented by a Body Area Network (BAN). The data is collected from a personalised sensor system by a Mobile Base Unit (MBU 4 ), processed for transmission and transported over a transport system to the MobiHealth Back-End system (BEsys 5 ) located in, e.g., a hospital [9]. The hybrid MobiHealth transport system consists of wireless (e.g.…”

Section: B Measurements Preparationmentioning

confidence: 99%

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Goodput analysis of 3G wireless networks supporting m-health services

Bults¹,

Wac²,

Halteren³

et al. 2005

Proceedings of the 8th International Conference on Telecommunications, 2005. ConTEL 2005.

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Abstract-The introduction of third generation (3G) public wireless network infrastructures, such as the Universal Mobile Telecommunications System (UMTS), enable the development of innovative mobile services. For example, deploying m-health services which embed tele-monitoring and tele-treatment services become feasible with the role-out of 3G networks. These services allow healthcare professionals to monitor a mobile patient's vital signs and provide feedback to this patient anywhere and any time. The performance of m-health services perceived by endusers depends on the serviceableness of 3G networks to support these services. Hence, the performance of 3G networks is a critical factor for successful development of m-health services. In this paper, we present a methodology for measurements-based performance assessment of 3G networks that aim to support m-health services. This methodology has been applied to evaluate end-user perceived service performance, in relation to the performance (i.e. serviceableness) of a 3G network. In addition, we analyse the measurements with the purpose to improve the end-to-end delay characteristics of the telemonitoring service as well as optimize the (derived) goodput behaviour of this 3G network. Our results show that the goodput behaviour is asymmetric and depends on a bearer assignment policy of the network. Based on our results we provide guidelines for the design of application protocols for m-health services and how these protocols deal with the changing performance behaviour of 3G networks.

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“…During evaluation of the new GPRS wireless packet-switched data service [13] we frequently observed pauses during bulk data transfers using TCP.…”

Section: Delays In a Live Networkmentioning

confidence: 99%

Effect of Delays on TCP Performance

Gurtov¹

Emerging Personal Wireless Communications

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Abstract:This paper has several contributions. First, we report that long sudden delays during data transfers are not uncommon in the GPRS wireless WAN. Long sudden delays can lead to spurious TCP timeouts and unnecessary retransmissions. Second, we show that the New Reno algorithm increases the penalty of spurious TCP timeouts and that an aggressive TCP retransmission timer may trigger a chain of spurious retransmissions. Third, we test how four widely deployed TCP implementations recover from a spurious timeout and notice that two of them have severe problems to recover. Finally, we discuss several existing ways to alleviate the problems.

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Measured performance of GSM, HSCSD and GPRS

Cited by 45 publications

References 5 publications

Spurious TCP Timeouts in 802.11 Networks

Spurious TCP Timeouts in 802.11 Networks

Goodput analysis of 3G wireless networks supporting m-health services

Effect of Delays on TCP Performance

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