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Random Networks for Communication

network? And how do you approach these questions - and others - when the network is random? The analysis of communication networks requires a;

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Distributed Optimization Advances in Theories Methods and Applications

algorithms for various types of underlying communication networks; the implementation of computation-efficient and communication-efficient strategies;

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Distributed Optimization Advances in Theories Methods and Applications

algorithms for various types of underlying communication networks; the implementation of computation-efficient and communication-efficient strategies;

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Fundamentals of Communication Systems, Global Edition

For one- or two-semester, senior-level undergraduate courses in Communication Systems for Electrical and Computer Engineering majors;

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Resilient Routing in Communication Networks

virtualization; introduces proposals for dedicated and shared protection in random failure scenarios and against malicious activities; describes measures;

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Network Performance Analysis

The book presents some key mathematical tools for the performance analysis of communication networks and computer systems. Communication;

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Intelligent Random Walk

applications of this type of random walk algorithm, particularly as an efficient prediction model for large-scale networks such as peer-to-peer and;

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Stochastic Networks

. Randomness arises in communication systems at many levels: for example, the initiation and termination times of calls in a telephone network, or the;

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Network Science

A comprehensive look at the emerging science of networks Network science helps you design faster, more resilient communication networks;

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Graphical Models for Machine Learning and Digital Communication

A variety of problems in machine learning and digital communication deal with complex but structured natural or artificial systems. In this;

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Introduction to Random Signals and Noise

discussion of the topic of Poisson processes and shot noise. An excellent resource for professional engineers developing communication systems;

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Random Graphs and Complex Networks

This rigorous introduction to network science presents random graphs as models for real-world networks. Such networks have distinctive;

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Synchronization in Complex Computing Networks

of parallel discrete-event simulation for systems with asynchronous dynamics. We also study the role of various complex communication topologies as;

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Statistical Analysis of Graph Structures in Random Variable Networks

of algorithms of network structure identification with applications to market network analysis. For this, a mathematical model of random variable;

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Institute of Mathematical Statistics Textbooks

. Randomness arises in communication systems at many levels: for example, the initiation and termination times of calls in a telephone network, or the;

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Network Information Theory

communication, capacity approximations and scaling laws, and asynchronous and random access channels. This book is ideal for use in the classroom, for;

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Network Information Theory

communication, capacity approximations and scaling laws, and asynchronous and random access channels. This book is ideal for use in the classroom, for;

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Random Wireless Networks

distributed uniformly in space and there is no centralised control. It provides a detailed analysis of the two relevant notions of capacity for random;

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Second-Order Consensus of Continuous-Time Multi-Agent Systems

dynamics from agents' perspective, coverage of unbalanced directed topology, random switching topology, event-triggered communication, and random;

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Resource Allocation in Backscatter-Assisted Communication Networks

provide useful guidance for the design of backscatter-assisted communication networks and future Internet of Things. Graduate students;

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Communication Networks

The second edition of Communication Networks is designed for junior level engineering and computer science students with no prior knowledge;

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Model Based Predictive Networked Control Systems

In a typical networked control system, the control loop is closed over computer nodes that communicate through a communication network. For;

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Lattice Coding For Signals And Networks

Unifying information theory and digital communication through the language of lattice codes, this book provides a detailed overview for;

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Linear Programming and Algorithms for Communication Networks

Explaining how to apply to mathematical programming to network design and control, Linear Programming and Algorithms for Communication;

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Linear Programming and Algorithms for Communication Networks

Explaining how to apply to mathematical programming to network design and control, Linear Programming and Algorithms for Communication;

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Sustainable Wireless Networks

problem. Concise and informative, this brief is a useful resource for professionals or researchers studying wireless networks, communication;

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Nature-Inspired Computing Applications in Advanced Communication Networks

nature-inspired computing has become a prevalent technique among researchers for solving these complex problems within communication networks;

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