A Design of Experiment (DOE) Analysis of the Performance of Uplink Real-Time Traffic over a 3G Network

Goulart, Ana; Zhan, Wei

doi:10.1109/wimob.2008.110

Cited by 3 publications

(7 citation statements)

References 10 publications

(8 reference statements)

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“…The cards used in our tests are a Sierra Wireless AirCard 597A and a KPC680 ExpressCard, both based on CDMA/HDR [4] or EV-DO. The EV-DO systems employ adaptive techniques (such as modulation schemes, forward error correction codes, and packet sizes), thus providing different bandwidth and delays depending on the signal-to-noise ratio (SNR) measured at the mobile user.…”

Section: Methodsmentioning

confidence: 99%

“…In wireless applications such as Mobile Health systems, the QoS is critical. It is therefore important to understand how different factors affect QoS (e.g., reliability and delays), which is determined mainly by the uplink transmission characteristics [4]. The performance of an uplink 3G system for Mobile Health application is studied in [14] using the OPNET simulation tool.…”

Section: Mobile Health Systemsmentioning

confidence: 99%

“…DOE analysis was first used in [4] to analyze the impact of relevant variables on QoS of the end-user's applications. In this paper, we conduct more extensive research, based on additional variables and a larger set of Manuscript received February 20, 2009;accepted March 31, 2009. test data.…”

Section: Introductionmentioning

confidence: 99%

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Statistical Analysis of Broadband Wireless Links in Rural Areas

Zhan¹,

Goulart

2009

JCM

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Third-generation (3G) cellular systems are often considered as a promising strategy for high-speed internet deployment in rural areas. However, bandwidth in 3G systems is a limited resource and can be quite different from the advertised bandwidth. In addition, in wireless applications such as voice over IP, video-conference, remote monitoring and telemetry (e.g., for healthcare applications) the Quality of Service (QoS) is critical. It is therefore important to understand how different factors affect the QoS requirements of real-time applications. Focusing on the reverse link (or uplink), we performed an assessment of the bandwidth and packet loss rate in a real network environment, using test data collected with two wireless data cards from different providers, in both rural and urban locations. The main contribution of this paper is the presentation of a formal statistical method – a Design of Experiments (DOE) analysis - that can be used to analyze the interactions between different variables, such as packet size, location, buffer size, and wireless provider. With a better understanding of the impact of such factors and their interactions, the end-user may be able to make the best selection of certain controllable parameters, in an effort to improve the QoS of the 3G connection. This is especially important for users located in rural areas, where cellular coverage is limited.

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Section: Methodsmentioning

confidence: 99%

Section: Mobile Health Systemsmentioning

confidence: 99%

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Statistical Analysis of Broadband Wireless Links in Rural Areas

Zhan¹,

Goulart

2009

JCM

Self Cite

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“…Design of experiment (DOE) analysis has been widely applied to improving product performance [10], as for example, in numerous recent reliability studies: DOE makes it possible to explore multiple stressors in an efficient way for reliability improvement considering the no fault found (NFF) phenomenon [26]; a two-level full factorial DOE may identify the reliability of the reverse link as the performance metric of real-time traffic [12]; a DOE based parameter tuning is proposed to provide an estimation of turbine power plant availability [3]; a two factorial DOE analysis based on the cost associated with maintenance and replacement activities and reliability characteristic parameters is used to determine the optimal preventive maintenance and replacement schedules in repairable and maintainable systems [19]; a two-level, three-factor experiment is used to collect human performance data under different mustering conditions [20].…”

Section: Design Of Experiments Analysismentioning

confidence: 99%

Reliability analysis for preventive maintenance based on classical and Bayesian semi-parametric degradation approaches using locomotive wheel-sets as a case study

Lin

Pulido²,

Asplund

2015

Reliability Engineering & System Safety

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a b s t r a c tThis paper undertakes a general reliability study using both classical and Bayesian semi-parametric degradation approaches. The goal is to illustrate how degradation data can be modelled and analysed to flexibly determine reliability to support preventive maintenance strategy making, based on a general data-driven framework. With the proposed classical approach, both accelerated life tests (ALT) and design of experiments (DOE) technology are used to determine how each critical factor affects the prediction of performance. With the Bayesian semi-parametric approach, a piecewise constant hazard regression model is used to establish the lifetime using degradation data. Gamma frailties are included to explore the influence of unobserved covariates within the same group. Ideally, results from the classical and Bayesian approaches will complement each other. To demonstrate these approaches, this paper considers a case study of locomotive wheel-set reliability. The degradation data are prepared by considering an Exponential and a Power degradation path separately. The results show that both classical and Bayesian semi-parametric approaches are useful tools to analyse degradation data and can, therefore, support a company in decision making for preventive maintenance. The approach can be applied to other technical problems (e.g. other industries, other components).

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“…[5], MANETs have been tested and main effects and interaction of five factors have been analyzed. Some others target different network architectures and protocols [6], [8], [10].…”

Section: Related Work and Comparisonmentioning

confidence: 99%

A Comprehensive Test Strategy for Network Protocols in Diverse Environment

Hiromori

Yamaguchi

Higashino

2011

2011 IEEE 19th Annual International Symposium on Modelling, Analysis, and Simulation of Computer and Telecommunication Systems

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Abstract-In order to analyze important properties of network protocols, such as robustness and applicability, we may need exhaustive tests to observe effects of various factors under different settings. For recent protocols on dynamic, large-scale and environment-aware networks such as wireless sensor networks and mobile ad-hoc networks, we should consider many factors due to diversity of hardware profiles, upper/lower layer protocols and physical environments. In this paper, we propose a comprehensive test method to analyze the effect of (usually 10 or more) factors on such network systems. Our method takes a set of factors to be considered and their (representative) domain values as inputs, analyzes their effects on the systems, and determines dominant factors that have impact on the performance and their interactions. Instead of applying exhaustive tests that require all the combinations of domain values, we take a step-wise approach that examines step-by-step suspected sets of factors, which requires fewer combinations. We also justify this approach based on a reasonable fault model. The approach also contains an analytical method to identify the performance characteristics. Through realistic case studies, we show that we could find sets of dominant factors in wireless networks systematically.

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A Design of Experiment (DOE) Analysis of the Performance of Uplink Real-Time Traffic over a 3G Network

Cited by 3 publications

References 10 publications

Statistical Analysis of Broadband Wireless Links in Rural Areas

Statistical Analysis of Broadband Wireless Links in Rural Areas

Reliability analysis for preventive maintenance based on classical and Bayesian semi-parametric degradation approaches using locomotive wheel-sets as a case study

A Comprehensive Test Strategy for Network Protocols in Diverse Environment

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