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Author: Ying Wang
Publisher: Springer
ISBN: 3319424548
Category : Technology & Engineering
Languages : en
Pages : 70
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Book Description
This SpringerBrief presents research results on QoE management schemes for mobile services, including user services, and resource allocation. Along with a review of the research literature, it offers a data-driven architecture for personalized QoE management in wireless networks. The primary focus is on introducing efficient personalized character extraction mechanisms, e.g., context-aware Bayesian graph model, and cooperative QoE management mechanisms. Moreover, in order to demonstrate in the effectiveness of the QoE model, a QoE measurement platform is described and its collected data examined. The brief concludes with a discussion of future research directions. The example mechanisms and the data-driven architecture provide useful insights into the designs of QoE management, and motivate a new line of thinking for users' satisfaction in future wireless networks.
Author: Ying Wang
Publisher: Springer
ISBN: 3319424548
Category : Technology & Engineering
Languages : en
Pages : 70
Get Book Here
Book Description
This SpringerBrief presents research results on QoE management schemes for mobile services, including user services, and resource allocation. Along with a review of the research literature, it offers a data-driven architecture for personalized QoE management in wireless networks. The primary focus is on introducing efficient personalized character extraction mechanisms, e.g., context-aware Bayesian graph model, and cooperative QoE management mechanisms. Moreover, in order to demonstrate in the effectiveness of the QoE model, a QoE measurement platform is described and its collected data examined. The brief concludes with a discussion of future research directions. The example mechanisms and the data-driven architecture provide useful insights into the designs of QoE management, and motivate a new line of thinking for users' satisfaction in future wireless networks.
Author: David Soldani
Publisher: John Wiley & Sons
ISBN: 0470034068
Category : Technology & Engineering
Languages : en
Pages : 488
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Book Description
This comprehensive volume provides state-of-the art guidance on Quality of Service (QoS) and Quality of end-user Experience (QoE) management in UMTS cellular systems, tackling planning, provisioning, monitoring and optimisation issues in a single accessible resource. In addition, a detailed discussion is provided on service applications, QoS concept, architecture and functions in access, packet & circuit switched core and backbone networks. Defines and explains the differences between QoS and QoE, and end-to-end concept, based on the premise that it is the end-user who is the ultimate beneficiary of QoS. Covers QoS and QoE issues related to present and forthcoming service applications, including multimedia messaging service (MMS), Video Sharing (VS), content download, business connectivity, Push to talk over Cellular (PoC), Voice over IP (VoIP), presence, instant messaging, gaming, streaming and browsing. Presents QoS concepts and architecture as defined in 3GPP Releases 97/98, 99, 5, 6, and 7, and provides a comprehensive description of protocols and packet data transfer across WCDMA evolved and (E)GPRS networks. Discusses service driven radio network planning aspects for (E)GPRS and WCDMA. Includes three detailed chapters covering concepts, means and methods for QoS provisioning, QoS & QoE performance monitoring and optimisation. This book is aimed at operators, vendors, deployers, consultants and managers specialising in the research, development, implementation, marketing and sales of products and tools for QoS and QoE management in UMTS networks. It will also be of interest to postgraduate students and researchers in the field of telecommunications and specialising in UMTS QoS and QoE principles and practices.
Author: Kandaraj Piamrat
Publisher:
ISBN:
Category :
Languages : en
Pages : 203
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Book Description
Wireless multimedia networking is gaining tremendous success nowadays. Due to their characteristics (limited bandwidth, variable radio conditions, greater interference, etc.), the need of more efficient management has become crucial. Meanwhile, traditional ways of managing network, using information from monitoring technical parameters (loss, delays, jitter, etc.), fail to give accurate evaluations of user experience or Quality of Experience (QoE). In this thesis, new methods based on QoE indicator have been proposed to solve these problems. The propositions are admission control, rate adaptation, and packet scheduling regarding network operator as well as network selection regarding user side. The real-time measurement of QoE is accomplished with PSQA (Pseudo-Subjective Quality Assessment) tool. The simulations have been conducted using different wireless technologies both in homogeneous and heterogeneous environment. The obtained results encourage the use of QoE concept in further research, which could pave the road to a new paradigm of resource management.
Author: M. R. Tabany
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Book Description
Author: Myasar R. Tabany
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Book Description
Author: Kumareshan N
Publisher: Independent Author
ISBN: 9781805254737
Category : Computers
Languages : en
Pages : 0
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Book Description
created based on the size, energy, distance, power etc. Cluster head will lead the data transmission between the source and destination. Due to this clustering technique, network performance will be increased. Cluster head will be connected to the base station to receive the data from base station and will forward the data to the respective destination. Cluster technique will transmit the data using the cluster head and cluster members. Network will connect to the server and then server will connect to the cluster head. Cluster head will forward the data to the respective slave nodes. Cluster head will act as master node and the slaves as cluster members. After receiving the data from master node, slave will be transmitting the replica message to the cluster head. This is the data transmission process between the cluster head and cluster members. Figure 1.2 shows the architecture of cluster technique. It contains the internet which is connected to the server. Server will transmit the data to cluster head and inform the cluster head to forward the data to the respective cluster members. After receiving the data, destination node will send acknowledgment to the cluster head and it will be forwarded to the server.
Author: Błażej Lewcio
Publisher: Springer Science & Business Media
ISBN: 3319021028
Category : Technology & Engineering
Languages : en
Pages : 161
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Book Description
This book shows how networking research and quality engineering can be combined to successfully manage the transmission quality when speech and video telephony is delivered in heterogeneous wireless networks. Nomadic use of services requires intelligent management of ongoing transmission, and to make the best of available resources many fundamental trade-offs must be considered. Network coverage versus throughput and reliability of a connection is one key aspect, efficiency versus robustness of signal compression is another. However, to successfully manage services, user-perceived Quality of Experience (QoE) in heterogeneous networks must be known, and the perception of quality changes must be understood. These issues are addressed in this book, in particular focusing on the perception of quality changes due to switching between diverse networks, speech and video codecs, and encoding bit rates during active calls.
Author: Li Liu
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Book Description
Author: Adibi, Sasan
Publisher: IGI Global
ISBN: 1615206817
Category : Computers
Languages : en
Pages : 716
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Book Description
"This book further explores various issues and proposed solutions for the provision of Quality of Service (QoS) on the wireless networks"--Provided by publisher.
Author: Arjun Anand
Publisher:
ISBN:
Category :
Languages : en
Pages : 558
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Book Description
In this thesis we will focus on the design of schedulers for next generation wireless networks which support application mixes, characterized by different, possibly complex, application/user Quality of Experience (QoE) metrics. The central problem underlying resource allocation for such systems is realizing QoE trade-offs among various applications/users given the dynamic loads and capacity variability they would typically see. In the first part of the thesis our focus is on applications where QoE depends on flow-level delay-based metrics. We consider system-wide metrics which directly capture both users' QoE metrics and appropriate QoE trade-offs among various applications for a wide range of system loads. This approach is different from the traditional wireless scheduler designs which have been driven by rate-based criteria, e.g., utility maximizing/proportionally fair, and/or queue-based packet schedulers which do not directly reflect the link between flow-level delays and users' QoE. In the second part of this thesis we address the key design challenges in networks supporting Ultra Reliable Low Latency Communications (URLLC) traffic which requires extremely high reliability (99.999%) and very low delays (1 msec). We will explore three different types flow delay-based metrics in this proposal, based on 1) overall mean delay; 2) functions of mean delays; and, 3) mean of functions of delays. We begin by considering minimization of mean flow delay for an M/GI/1 queuing model for a wireless Base Station (BS) where the flow size distributions are of the New Better than Used in Expectation + Decreasing Hazard Rate (NBUE +DHZ) type. Such a flow size distribution have been observed in real systems and we too validate this model based on collected data. Using a combination of analysis and simulation we show that our scheduler achieves good performance for users that might correspond to interactive applications like web browsing and/or stored video streaming and is robust to variations in system loads. Next we consider a generalization of this approach where we minimize a metric based on cost functions of the mean flow delays in a multi-class system where users/flows are classified based on their respective QoE requirements and each class's QoE requirement is modeled by its respective cost function. This approach helps us model QoE more accurately and gives us more flexibility in considering QoE trade-offs among heterogeneous user classes. We optimize two different metrics based on how we average the cost functions of delays, namely, functions of mean delays; and mean of functions of delays. The former can be used when users' experiences are sensitive to mean delays and while the latter can be used when user's experience is also sensitive to higher moments of delays, e.g., variance or soft thresholds on delay. Extensive simulations confirm the effectiveness of our proposed approaches at realizing various QoE trade-offs and performance. In 5G wireless networks URLLC traffic is expected to support many applications like industrial automation, mission critical traffic, virtual traffic etc, where the wireless network has to reliability transport small packets with very high reliability and low delays. We address the following aspects related to the system design for URLLC traffic, 1) quantifying the impact of various system parameters like system bandwidth, link SINR, delay and latency constraints on URLLC 'capacity'; 2) provisioning wireless system appropriately to meet URLLC Quality of Service (QoS) requirements; and, 3) designing efficient Hybrid Automatic Repeat Request (HARQ) schemes for transmitting small packets. Further, due the heterogeneity in delay requirements between URLLC and other types of traffic, sharing radio resources between them creates its own unique challenges. We develop efficient multiplexing schemes between URLLC traffic and other mobile broadband traffic based on preemptive puncturing/superposition of the mobile broadband transmissions by URLLC transmissions.
