| 1. |
- Cuadra, Antonio, et al.
(författare)
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Ecosystem for customer experience assurance
- 2013
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Ingår i: 2013 International Conference on Smart Communications in Network Technologies, SaCoNeT 2013. - 9781479906949
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Konferensbidrag (refereegranskat)abstract
- Nowadays service providers focus all their effort on customers' satisfaction although determining the Quality of Experience (QoE) is not a trivial task. In addition, the evolution from traditional networks towards Next Generation Networks (NGN) is enabling service providers to deploy a wide range of multimedia services such as Internet Television (IPTV), Video on Demand (VoD), and multiplayer games services, all on the same underlying IP network. However, managing the satisfaction level of customers to provide a good user experience is not being an easy task due to the complexity of orchestrating network and customer data sources. This document proposes an ecosystem that allows managing customer experience in order to guarantee the quality levels delivered to end users, which is being implemented into the Celtic IPNQSIS project. The QoE ecosystem lies on a customer experience architecture formed by Data acquisition level, Monitoring level and Control Level. The work proposed in this paper will settle the basis of next generation Customer Experience Management systems.
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| 2. |
- Mushtaq, Muhammad Sajid, et al.
(författare)
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QoE in 5G Cloud Networks using Multimedia Services
- 2016
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Ingår i: 2016 IEEE WIRELESS COMMUNICATIONS AND NETWORKING CONFERENCE. - : IEEE Computer Society. - 9781467398145
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Konferensbidrag (refereegranskat)abstract
- The 4G standard Long Term Evolution-Advanced(LTE-A) has been deployed in many countries. Now, technologyis evolving towards the 5G standard since it is expecting tostart its service in 2020. The 5G cellular networks will mainlycontain in cloud computing and primarily Quality of Service(QoS) parameters (e.g. delay, loss rate, etc.) influence thecloud network performance. The impact of user perceivedQuality of Experience (QoE) using multimedia services, andapplication significantly relies on the QoS parameters. The keychallenge of 5G technology is to reduce the delay less thanone millisecond. In this paper, we have described a methodthat minimizes the overall network delay for multimediaservices; which are constant bit rate (VoIP) and variablebit rate (video) traffic model. We also proposed a methodthat measures the user’s QoE for video streaming trafficusing the network QoS parameters, i.e. delay and packet lossrate. The performance of proposed QoE method is comparedwith QoV method, and our proposed QoE method performsbest by carefully handle the impact of QoS parameters. Theresults show that our described method successfully reduces theoverall network delays, which result to maximize the user’s QoE.
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| 3. |
- Mushtaq, M. Sajid, et al.
(författare)
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QoE in 5G Wireless Cellular Networks based on Mobile Cloud Network
- 2015
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Konferensbidrag (refereegranskat)abstract
- The 4G standard Long Term Evolution-Advanced(LTE-A) has been deployed in many countries. Now, technologyis evolving towards the 5G standard since it is expecting tostart its services in 2020. The 5G cellular networks will mainlycontain in cloud computing and primarily Quality of Service(QoS) parameters (e.g. delay, loss rate, etc.) influence the cloudnetwork performance. The impact of user perceived Quality ofExperience (QoE) significantly relies on the QoS parameters. Thekey challenge of 5G technology is to reduce the delay less thanone millisecond. In this paper, we have described a method thatminimizes the overall network delay for constant bit rate (VoIP)and variable bit rate (video) traffic model. We also proposed amethod that measures the user’s QoE for video streaming trafficusing the network QoS parameters, i.e. delay and packet lossrate. The performance of proposed QoE method is comparedwith QoV method, and our proposed QoE method performsbest by carefully handle the impact of QoS parameters. Theresults show that our described method successfully reduces theoverall network delays, which result to maximize the user’s QoE.
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| 4. |
- Mushtaq, M. Sajid, et al.
(författare)
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QoE Power-Efficient Multimedia Delivery Method for LTE-A
- 2016
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Ingår i: IEEE Systems Journal. - : IEEE Communications Society. - 1932-8184 .- 1937-9234. ; 10:2, s. 749-760
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Tidskriftsartikel (refereegranskat)abstract
- The fastest growing of multimedia services overfuture wireless communication system demand more networkresources, efficient delivery of multimedia service with highusers satisfaction, and power optimization of User Equipments(UEs). The resources and power optimization are significant infuture mobile computing systems, because emerging multimediaservices consume more resources and power. The 4G standard ofLTE-A wireless system has adopted the Discontinuous Reception(DRX) method to extend and optimize the UE battery life,while there is no standard scheduling method to distribute theradio resources among the UE. This paper presents a downlinkscheduler, i.e. Quality of Experience (QoE) Power EfficientMethod (QEPEM) for LTE-A, which efficiently allocates theradio resources and optimizes the use of UE power using theDRX mechanism. We investigates how the different durationof DRX Light and Deep Sleep cycle influences the QoS andQoE of end users, using VoIP over the LTE-A. The QEPEMis evaluated with the traditional methods, in terms of SystemThroughput, Fairness Index, Packet Loss Rate, and PacketDelay. The QEPEM measures the user’s QoE, and feedback toeNodeB for scheduling decisions along with other importantparameters. Our proposed method reduces the packet delay,packet loss, and increases the fairness and UE’s power savingwith high users satisfaction.
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| 5. |
- Sajid Mushtaq, M., et al.
(författare)
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QoE/QoS-aware LTE downlink scheduler for VoIP with power saving
- 2015
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Ingår i: Journal of Network and Computer Applications. - : Elsevier. - 1084-8045 .- 1095-8592. ; 51, s. 29-46
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Tidskriftsartikel (refereegranskat)abstract
- The emerging and fastest growing multimedia services such as Skype, GTalk and interactive video gaming have created new challenges for wireless communication technologies, especially in terms of resource allocation and power optimization of User Equipments (UEs). The efficient resources and the power optimization are very important in the next communication systems because new multimedia services are more resource and power hungry. Having more traffic flow in the downlink as compared to the uplink, the resource allocation schemes in the downlink are more important than those in the uplink. In this paper, we have proposed a new downlink scheduling scheme, known as Quality-aware DRX (Q-DRX) Scheme, for Long Term Evaluation (LTE) wireless networks that not only improves the Quality of Service (QoS) to satisfy the users experience of multimedia services but also saves the UEs power by using the Discontinuous Reception (DRX). This paper investigates how the different durations of DRX Light and Deep Sleep cycles affect the QoS and influence the Quality of Experience (QoE) of end users, in the context of Voice over IP (VoIP) traffic delivery over the LTE wireless network. The performance of the Q-DRX scheme is evaluated with traditional scheduling schemes, in the perception of the following important parameters, System Throughput, Throughput Fairness Index, Packet Loss Rate and Packet Delay. Our proposed Q-DRX Scheme successfully minimized the packets delay and packets loss by considering the key parameters of QoS with fair resources distribution among the UEs to achieve a high satisfaction level. (C) 2014 Elsevier Ltd. All rights reserved.
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