Cellular network faults prediction models using mobile intelligent agent are presented in this paper. Cellular networks are uncertain and dynamic in their behaviours and therefore we use different artificial intellige...
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Cellular network faults prediction models using mobile intelligent agent are presented in this paper. Cellular networks are uncertain and dynamic in their behaviours and therefore we use different artificial intelligent techniques to develop platform independent, autonomous, reasoning and robust agents that can report on any unforeseen anomaly within the cellular network service provider. The specific design and implementation is done using Java Agent DE-velopment Framework (JADE). The partial results obtained from the experiments conducted are presented and discussed in this paper.
This paper discusses modelling and prediction of faults in cellular networks. We derive probabilistic models of the cellular network systems in which the independence relations between the variables of interest are re...
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This paper discusses modelling and prediction of faults in cellular networks. We derive probabilistic models of the cellular network systems in which the independence relations between the variables of interest are represented explicitly. We use a directed graph in which two nodes are connected by an edge if one is a direct cause of the other. We present the process of construction of a structure of a Bayesian network. We explored the complexity and performance of fault prediction using Bayesian network.
This paper proposes a new call quality measure based on mobile signal strength measurements to evaluate performance of handoff algorithms in wireless cellular networks. The proposed measure allows the quantification o...
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This paper proposes a new call quality measure based on mobile signal strength measurements to evaluate performance of handoff algorithms in wireless cellular networks. The proposed measure allows the quantification of the impact of the handoff algorithms of performance. Using the proposed measure we compare existing handoff algorithms to identify the trade-off between signal quality and required number of handoffs. Our results indicate that a handoff method based on a threshold with 2 dB hysteresis provides better performance compared to the conventional wisdom of 3 dB hysteresis. We provide a benchmark value for handoff algorithms based on an off-line heuristic method using the new measure. Our benchmark shows that there is substantial room for improvement of the existing handoff algorithm
In this paper faults are processed and models of faults in telecommunications networks are proposed in relation to services and revenues. The probability of faults occurring is estimated. Cost models are presented pre...
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In this paper faults are processed and models of faults in telecommunications networks are proposed in relation to services and revenues. The probability of faults occurring is estimated. Cost models are presented predicting the amount of revenue loss. We relate faults to services with detailed relationship between them being shown.
Electric, water, gas and transportation utilities face severe challenges associated with security, quality, availability, reliability and profitability issues. They must solve interrelated system problems with respect...
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Electric, water, gas and transportation utilities face severe challenges associated with security, quality, availability, reliability and profitability issues. They must solve interrelated system problems with respect to generation of electricity, transportation of fuel, and potable as well as waste water. In the future, engineers and managers of utilities must be well versed in the different disciplines of engineering including electrical civil, mechanical and information technology. The University of Colorado at Boulder addresses this educational opportunity by proposing a novel Integrated Utilities Management Program for M.S. candidates who have a solid B.S. background or equivalent in a related discipline. The M.S. program will consist of four interdisciplinary paths dealing with business management and legal topics as they relate to federal and state regulatory issues, as well as agency and people-related leadership issues. The electric utilities option of this program will be centered on three core courses related to electric power generation/transmission and distribution, security and availability, quality and reliability, economics and environmental policy, and utility finance;two elective courses from a group of courses that address nuclear power, waste water, solid waste, telecommunications, renewable energies, data communication, fuels and case studies;and one capstone course consisting of either operations research or the investigation and resolution of a pending utility project such as the right-of-way of transmission lines, specification of new power plants, retrofitting of power plants or their impact on the environment. It is expected that candidates for this MS Program will come from universities, from utilities, and from private and public agencies. The MS program can be completed by full- or part time students within one or two years of intensive study, respectively. Courses will be taught both on campus and nationwide via the Center for Advanced
This book provides a comprehensive review and in-depth discussion of the state-of-the-art research literature and propose energy-efficient computation offloading and resources management for mobile edge computing (MEC...
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ISBN:
(数字)9783031168222
ISBN:
(纸本)9783031168215;9783031168246
This book provides a comprehensive review and in-depth discussion of the state-of-the-art research literature and propose energy-efficient computation offloading and resources management for mobile edge computing (MEC), covering task offloading, channel allocation, frequency scaling and resource scheduling. Since the task arrival process and channel conditions are stochastic and dynamic, the authors first propose an energy efficient dynamic computing offloading scheme to minimize energy consumption and guarantee end devices’ delay performance. To further improve energy efficiency combined with tail energy, the authors present a computation offloading and frequency scaling scheme to jointly deal with the stochastic task allocation and CPU-cycle frequency scaling for minimal energy consumption while guaranteeing the system stability. They also investigate delay-aware and energy-efficient computation offloading in a dynamic MEC system with multiple edge servers, and introduce anend-to-end deep reinforcement learning (DRL) approach to select the best edge server for offloading and allocate the optimal computational resource such that the expected long-term utility is maximized. Finally, the authors study the multi-task computation offloading in multi-access MEC via non-orthogonal multiple access (NOMA) and accounting for the time-varying channel conditions. An online algorithm based on DRL is proposed to efficiently learn the near-optimal offloading solutions.;Researchers working in mobile edge computing, task offloading and resource management, as well as advanced level students in electrical and computerengineering, telecommunications, computerscience or other related disciplines will find this book useful as a reference. Professionals working within these related fields will also benefit from this book.
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