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Differentiated QoE provisioning for video delivery over wireless networks

Differentiated QoE provisioning for video delivery over wire...

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International conference on Ultra Modern Telecommunications and Workshops (ICUMT)

作者： Pejman Goudarzi Mohammad R. Nezami Ranjbar Farima Ayatollahi Multimedia Department IT Faculty of Iran Telecommunication Research Center Teheran Iran

Delivering digital video content with enhanced quality of experience to the end users over error-prone multi-hop wireless networks is a challenging issue. In video transmission over such wireless networks, many network-based (packet loss, delay etc.) and source-based (encoding quantization level etc.) parameters can impair the perceived video quality. In a video quality enhancement strategy, accurate video quality metrics play a crucial role in the designing process of optimal rate (bandwidth) allocation algorithms. Many cross-layer optimization (CLO) based rate allocation strategies have been developed for this purpose which consider different objective functions (congestion level, total packet loss etc.) in wireless networks. The main contributions of the proposed work are twofold. At first, an optimal bandwidth allocation framework is being developed in which based on some network-specific constraints and by incorporating an accurate video quality metric, the total weighted quality of experience of some competing video sources is being optimized bases on cross-layer design techniques. Secondly, these optimal rates have been used for differentiated Quality of Experience (QoE) enforcement between multiple competing video sources. The resulting optimal rates can be used as rate-feedbacks for on-line rate adaptation of a moderate video encoder such as MPEG4. The aforementioned weight parameters are selected based on the importance of each video sequence's quality and can be associated with some previous service level agreement (SLA) based prices. Some numerical analysis have been presented to validate the theoretical results and to verify the claims.

关键词： Streaming media Wireless communication optimization Bandwidth Ad hoc networks Resource management Measurement

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Joint Power and Rate control in Cognitive network with External Interference

Joint Power and Rate Control in Cognitive Network with Exter...

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2011 IEEE 3rd International conference on Communication Software and networks(ICCSN 2011)

作者： Yongxin Wang School of Communication&Information Engineering University of Electronic Science and Technology of China,Chengdu,P.R.China Supeng Leng School of Communication&Information Engineering University of Electronic Science and Technology of China,Chengdu,P.R.China

In a cognitive network,secondary users can coexist with primary users by opportunistically exploiting the frequency bands of primary ***,secondary users should constrain themselves to avoid interference to primary users based on the sensing *** paper investigates the method of increasing the spectrum efficiency in cognitive network within external *** consider the practical scenario with external interference,in which the wireless node can be treated as secondary users and the external interference can be considered as a primary user. Nevertheless,the ordinary relationship between the primary user and secondary users has been *** consider the spectrum resource allocation as a convex optimization problem which could obtain the optimal solution by adopting feasible direction *** results show that our algorithm could improve the overall throughput significantly.

关键词： cognitive network external interference power and rate control convex optimization

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RBF Neural network control System Optimized by Particle Swarm optimization

RBF Neural Network Control System Optimized by Particle Swar...

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3rd IEEE International conference on Computer Science and Information Technology (ICCSIT)

作者： Dong, Xiucheng Wang, Cong Zhang, Zhang Xihua Univ Prov Key Lab Signal & Informat Proc Chengdu Peoples R China

ISBN: (纸本)9781424455379

A RBF neural network control system optimized by Particle Swarm optimization is proposed. The control system was constructed by two RBF neural network, one was used as identifier and the other was used as controller. The system parameters were optimized by PSO, RBF neural network identified the nonlinear controlled object, the obtained Jacobian information used into RBF controller. Simulation results shows that the system optimized by PSO can get the ideal results of the control to the nonlinear objects, the system has good adaptive capacity and robustness.

关键词： RBF neural network PSO nonlinear objects

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High Stability and Quick Start Oven controlled Crystal Oscillator

High Stability and Quick Start Oven Controlled Crystal Oscil...

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3rd IEEE International conference on Computer Science and Information Technology (ICCSIT)

作者： Zhou, Yun Xian Technol Univ Dept Elect & Comp Engn Xian 710032 Shaanxi Peoples R China

ISBN: (纸本)9781424455379

Oven controlled crystal oscillators (OCXO) have been widely used in global positioning systems, communications, metering, telemetry control, spectrum, network analyzers and other electronic equipments as a source of time-frequency signal with high precision. Two most important performance indexes of a crystal oscillator are frequency stability and start-up characteristics. In this paper the marriage of hardware and software, practice of dual thermostatic bath and application of optimization technology in temperature control in duel temperature control system enable quicker start and further improve temperature control accuracy and the frequency stability of OCXO. This clever design optimization achieves lower power consumption, higher stability, even more compact size and quicker start.

关键词： Crystal oscillator OCXO PID control C8051F007 PWM

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Multi-objective optimization of freeway traffic flow via a fuzzy reinforcement learning method

Multi-objective optimization of freeway traffic flow via a f...

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International conference on Advanced Computer Theory and Engineering

作者： Zhaohui, Yang Kaige, Wen School of Electronics and Control Engineering Chang'an University Xi'an Shaanxi China

ISBN: (纸本)9781424465408

A fuzzy approach to reinforcement learning in multi-objective optimization problem of freeway traffic flow control and dynamic route guidance is presented. The problem domain, a freeway network integration management application considers the efficiency and equity of system, is formulated as a distributed fuzzy reinforcement learning problem. The Gini coefficient is adopted in this study as an indicator of equity. The DFRL approach was implemented via a multi-agent control architecture where the decision agent was assigned to each of the on-ramp or VMS. The reward of each agent is simultaneously updating a single shared policy. The control strategy's effect is demonstrated through its application to the simple freeway network. Analyses of simulation results using this approach show the equity of the system have a significant improvement over traditional control, especially for the case of large traffic demand. Using the DFRL approach, Compared with traditional methods, the network's Gini coefficient has fallen by 30% or more. © 2010 IEEE.

关键词： Reinforcement learning

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Application of a neural network predictive control for the supercritical main steam

Application of a neural network predictive control for the s...

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2010 3rd International conference on Advanced Computer Theory and Engineering, ICACTE 2010

作者： Li, Yun-Juan Fang, Yan-Jun Li, Qi Kunming University Kunming 650118 China Wuhan University Wuhan 430072 China Naval University of Engineering Wuhan 430033 China

ISBN: (纸本)9781424465408

The traditional PID control is difficult in the nonlinear, delay, time-varying conditions and have a disturbance characteristics in supercritical main steam temperature control system to achieve satisfactory control effect. This paper presents a neural network predictive control method using multi-step prediction, rolling optimization and feedback correction control strategy, achieved good control results. Taking the supercritical main steam temperature as the research object, MATLAB simulation results show that, in various of the main steam temperature condition neural network dynamic model, both are well predict the dynamic characteristic, and achieved better performances than traditional PID's. © 2010 IEEE.

关键词： Three term control systems

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network topology based on information security for network Centric Warfare simulation

Network topology based on information security for Network C...

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International conference on Advanced Computer Theory and Engineering

作者： Jing, Peng Liang, Han Guanghong, Gong Lingyu, Liu School of Automation Science and Electrical Engineering Beijing University of Aeronautics and Astronautics Beijing 100191 China

ISBN: (纸本)9781424465408

This paper presents a Multi-Link Topology (MLT) control algorithm for network Centric Warfare (NCW) system based on information security. This method explains the complexity of communication links for NCW well. To accurately study the communication performance in HLA/RTI framework by the network simulators for real-time NCW simulation, it is important to simplify the network links topology through discarding the unnecessary communication links. The proposed algorithm takes several typical military communication links as target and optimizes the links according to the information security satisfaction degree with network connectivity unchanged. The simulation results show that the algorithm has good links optimization ability with the average optimization rate more than 50%. © 2010 IEEE.

关键词： Military communications

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Data-driven Route Guidance under the Framework of Model Predictive control

Data-driven Route Guidance under the Framework of Model Pred...

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3rd IEEE International conference on Computer Science and Information Technology (ICCSIT)

作者： Zhou, Yonghua Yang, Xu Wang, Wei Beijing Jiaotong Univ Sch Elect & Informat Engn Beijing Peoples R China

ISBN: (纸本)9781424455379

Real-time traffic assignment for route guidance is put under the framework of model predictive control, which optimizes the routes based on the real-time feedback and prediction information of road network. In this framework, particle filter is utilized to estimate the statistic distribution of traffic flow of links without detection sensors based on the position and speed information of navigated vehicles on those links and the prior information of traffic flow of links with detection sensors. The chance constrains and Bayes-based route prediction are incorporated into the optimization model so that the stochastic characteristics of traffic needs, propagation and driver's decision-making behavior can be compensated in the route optimization. To check the chance constraints, the min-max characteristic points are used to fit the curve of stochastic traffic propagation process with stochastic needs to avoid the exponential increase of combination calculation. The genetic algorithm is utilized for the optimization with feasible-direction-search crossover and mutation to improve the evolution efficiency, combined with the traffic simulation in the mean sense with the compensation of stochastic parts of traffic flow data to evaluate the performance of real-time traffic assignment. The simulation results demonstrate the effectiveness of traffic navigation predictive control.

关键词： route guidance model predictive control dynamic traffic assignment traffic-flow incomplet information estimation computer control

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Realization of PMD compensation in high-speed optical fiber communication network

Realization of PMD compensation in high-speed optical fiber ...

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2010 3rd IEEE International conference on Broadband network and Multimedia Technology, IC-BNMT2010

作者： Hou, Lili Zhang, Yangan Zhang, Xiaoguang Zhang, Jinnan Yuan, Xueguang Zhang, Rongguo Zhang, Minglun Wang, Gai Beijing Key Laboratory of Optical Communication and Lightwave Technologies Ministry of Education Beijing University of Posts and Telecommunications Beijing 100876 China

ISBN: (纸本)9781424467709

A new adaptive polarization mode dispersion PMD compensation method in 80Gbit/s optical communication is proposed. Through the control of DSP, the dithering particle swarm optimization (PSO) algorithm is used to extract the best degree of polarization (DOP), then the DOP is used to compensate three stage PMD of optical fiber. © 2010 IEEE.

关键词： Polarization mode dispersion

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Proceedings - 3rd International conference on Advances in Mesh networks, MESH 2010

Proceedings - 3rd International Conference on Advances in Me...

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3rd International conference on Advances in Mesh networks, MESH 2010

ISBN: (纸本)9780769540924

The proceedings contain 19 papers. The topics discussed include: the achievable cell capacity in cellular wireless mesh networks;experimental procedure for the characterization and optimization of the power consumption and reliability in ZigBee mesh networks;self-organizing mobile mesh networks with peer-to-peer routing and information search services;altruistic traffic limits computation in wireless broadcast networks;simulation-based optimization for wireless mesh network planning;analysis of emergency message transmission delays in vehicular wireless mesh network;multihop interference and multihop propagation of control signaling in IEEE 802.16d mesh networks;Bayesian VoIP quality evaluation using the time between retried calls;mobility-aware hybrid routing approach for wireless mesh networks;application of line graph for link scheduling in wireless networks under m-hop interference model;and algorithms for extraction and visualization of metadata from domain name server records.

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