Delivering improved QoS and cell throughput in UMTS based HSDPA networks

Shreevastav, Ritesh; McGoldrick, Ciarán; Huggard, Meriel

doi:10.1109/wowmom.2009.5282491

Cited by 6 publications

(3 citation statements)

References 8 publications

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“…These works exhaustively study packet scheduling and resource allocation, Parameters such as IP bit rate, inter-packet delay, jitter, IP packet losses and sequence errors have not been evaluated in referenced works. Although these parameters have been the subject of study in [6] and [7], such studies are oriented to prove the performance of scheduling algorithms but by means of simulations. Studies carried out in [8] and [9] show a close similarity with the work introduced in this paper, with the singularity that we provide an open methodology which enables studying the performance of any application taking into account radio propagation particularities.…”

Section: Mobilitymentioning

confidence: 99%

Field measurements of mobile services with Android smartphones

Alvarez

Dı́az

Merino

et al. 2012

2012 IEEE Consumer Communications and Networking Conference (CCNC)

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The proliferation of mobile Internet services for smartphones makes it more necessary than ever to use measurement tools in mobile devices to monitor their connectivity performance. In this paper we introduce TestelDroid, a software tool for Android devices which provides advanced monitoring functionalities for analyzing multimedia services and applications specifically designed for smartphones.The beneficiaries of this tool are mobile operators, service providers and mobile developers, as TestelDroid offers a unified and independent methodology to analyze performance parameters from the application level, taking into account underlying issues.

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Section: Mobilitymentioning

confidence: 99%

Field measurements of mobile services with Android smartphones

Alvarez

Dı́az

Merino

et al. 2012

2012 IEEE Consumer Communications and Networking Conference (CCNC)

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“…The network topology of simulation environment is shown in Figure 5. In the experiment, this paper chooses a previous network application (Shreevastav et al,2009) to stand for each media service flow: (1) conversational type: VoIP uses Exponential On/Off to generate data flow. (2) streaming media type: VoD uses CBR to simulate.…”

Section: Setup Of Simulation Environmentmentioning

confidence: 99%

QPF Scheduling Scheme for Performance Improvements of Integrated Multimedia Applications Over 3.5G Network

Yang¹,

Lin²,

Hsieh³

2011

Proceedings of the 13th International Conference on Enterprise Information Systems

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IMS can provide full IP technology platform which combines information and communications technologies to achieve the objectives of integrated multimedia service. In IMS, SIP is introduced to transmit session control signal. Currently, the session transmission time of SIP is affected by wireless channel bandwidth, Frame Error Rate (FER), message exchange volume, retransmission mechanism and other factors. In order to effectively reduce the delay time for session transmission, we did revise conventional MAC-hs scheduling algorithm (i.e. PF) and propose QoS-based Proportional Fairness algorithm, called QPF, to enhance the session setup on SIP with channel performance of wireless communication. We perform simulations with comparisons on two KPIs of Delay and Throughput between PF and QPF schemes, by using NS-2 software tool under various multimedia applications, such as VoIP, VoD and Web. The simulation results indicate that QPF lowers 20% for VoIP delay and obtains 8.19% more VoIP Throughput than PF. The QPF performance for VoD delay can be enhanced by 11.53%, the Throughput is increased by 8.05%. Also, the delay for Web of QPF can be improved by 28.58%, and the Throughput is enhanced by 25.25%. Consequently, the proposed QPF can enhance transmission performance and obtain a higher utilization of system resources for various multimedia applications in wireless network.

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“…The latter accounted for 55% of all mobile data traffic in 2015 [1]. One of the key challenges to be faced is to ensure that the end user does not perceive any loss in the quality of service [3] they are receiving if their realtime cellular data traffic is handed over to a fixed network.…”

Section: Introductionmentioning

confidence: 99%

Ensuring quality services on WiFi networks for offloaded cellular traffic

Pibiri

McGoldrick

Huggard

2017

2017 13th Annual Conference on Wireless on-Demand Network Systems and Services (WONS)

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Abstract-One of the more obvious ways to reduce the volume of data traffic on cellular networks is through the use of handover to fixed networks via WiFi and other radio channels. With the growing focus on emerging 5G concepts and technologies, there has been a corresponding focus on the functional mechanisms needed to achieve this handover in a timely fashion. Much less attention has been paid to the practicalities, in terms of ensuring that the end-user experiences little or no loss in the quality of their network services when the handover occurs. In this paper, a methodology for managing such handover traffic in a WiFi network is proposed. The approach integrates and leverages aspects of three quality control mechanisms to enable stable, higher quality delivery of enhanced WiFi network services. It combines i) information adduced from a theoretical model with ii) a low complexity Quality of Experience metric that is quick and easy to estimate and iii) a queue management scheme.

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Delivering improved QoS and cell throughput in UMTS based HSDPA networks

Cited by 6 publications

References 8 publications

Field measurements of mobile services with Android smartphones

Field measurements of mobile services with Android smartphones

QPF Scheduling Scheme for Performance Improvements of Integrated Multimedia Applications Over 3.5G Network

Ensuring quality services on WiFi networks for offloaded cellular traffic

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