Results 211 to 220 of about 1,577,594 (272)
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Mobile QoS tomography using compressed sensing
2014 26th International Teletraffic Congress (ITC), 2014The use of mobile devices such as smartphones is becoming very widespread, and the variety of usage patterns is increasing. Consequently, the factors that affect the end-to-end quality of service (QoS) of mobile communications are becoming much more diverse.
Ryoichi Kawahara, Yoshihide Tonomura
openaire +2 more sources
Architecture and Algorithms for Scalable Mobile QoS
Wireless Networks, 2003zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Sadeghi, Bahareh, Knightly, Edward W.
openaire +3 more sources
Wireless Personal Communications, 2019
A mobile ad hoc network (MANET) consists of mobile nodes communicating over wireless channels. Routing in MANETs is very challenging due to the random mobility of nodes and unreliability of wireless channels. Therefore most of the existing routing algorithms make only the best effort to find routes for communication but do not provide any performance ...
Pushp Sra, Satish Chand
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A mobile ad hoc network (MANET) consists of mobile nodes communicating over wireless channels. Routing in MANETs is very challenging due to the random mobility of nodes and unreliability of wireless channels. Therefore most of the existing routing algorithms make only the best effort to find routes for communication but do not provide any performance ...
Pushp Sra, Satish Chand
openaire +2 more sources
Context-Aware and Adaptive QoS Prediction for Mobile Edge Computing Services
IEEE Transactions on Services Computing, 2022Mobile edge computing (MEC) allows the use of its services with low latency, location awareness and mobility support to make up for the disadvantages of cloud computing, and has gained a considerable momentum recently.
Zhizhong Liu +4 more
semanticscholar +1 more source
IEEE Communications Letters, 2022
In this letter, we study on deploying multiple UAV-Mounted mobile base stations (MBS) to provide wireless coverage for ground users (GU). Our aim is to minimize the number of deployed UAV-MBSs, and the novelty is that we jointly take the service ability ...
Xijian Luo +4 more
semanticscholar +1 more source
In this letter, we study on deploying multiple UAV-Mounted mobile base stations (MBS) to provide wireless coverage for ground users (GU). Our aim is to minimize the number of deployed UAV-MBSs, and the novelty is that we jointly take the service ability ...
Xijian Luo +4 more
semanticscholar +1 more source
Mobility and Dependence-Aware QoS Monitoring in Mobile Edge Computing
IEEE Transactions on Cloud Computing, 2021Mobile edge computing is a new computing paradigm that performs computing on the edge of a network. It provides services to users by deploying edge servers near mobile devices.
Pengcheng Zhang +3 more
semanticscholar +1 more source
I'm Only Unhappy when it Rains: Forecasting Mobile QoS with Weather Conditions
Traffic Monitoring and Analysis, 2018Global increase in the use of mobile Internet service generates interest in mobile network studies to determine and forecast the QoS provided by mobile operators.
Diego Madariaga +2 more
semanticscholar +1 more source
Benchmarking mobile network QoS
36th Annual Hawaii International Conference on System Sciences, 2003. Proceedings of the, 2003This paper addresses the benchmarking of mobile networks in terms of QoS, facilitating a service quality comparison of one mobile network with another. A framework for mobile network QoS benchmarking is proposed and suitable performance indicators are identified.
J.C. Francis, M. Abu El-Ata
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IEEE Transactions on Cognitive Communications and Networking, 2020
In recent years, deep neural networks have achieved exciting results in a variety of tasks, and many fields try to introduce neural network techniques.
Yuyu Yin +5 more
semanticscholar +1 more source
In recent years, deep neural networks have achieved exciting results in a variety of tasks, and many fields try to introduce neural network techniques.
Yuyu Yin +5 more
semanticscholar +1 more source
QoS Driven Task Offloading With Statistical Guarantee in Mobile Edge Computing
IEEE Transactions on Mobile Computing, 2020In mobile edge computing, popular mobile applications, such as augmented reality, usually offload their tasks to resource-rich edge servers. The user experience can be considerably affected when many mobile users compete for the limited communication and
Qing Li +5 more
semanticscholar +1 more source

