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Machine Learning for Networking

learning for network slicing optimization, 5G system, user behavior prediction, multimedia, IoT, security and protection, optimization and new;

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5G Green Mobile Communication Networks

This book focuses on the modeling, optimization, and applications of 5G green mobile communication networks, aimed at improving energy;

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5G Green Mobile Communication Networks

This book focuses on the modeling, optimization, and applications of 5G green mobile communication networks, aimed at improving energy;

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Machine Learning for Networking: First International Conference, Mln 2018, Paris, France, November 27-29, 2018, Revised Selected Papers

for networks; Machine learning for network slicing optimization, 5G system, user behavior prediction, multimedia, IoT, security and protection;

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Advances in Computer Communications and Networks

Spectrum Network Optimization. This book is ideal for personnel in computer communication and networking industries as well as academic staff;

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Full-Duplex Communications and Networks

fundamental theories on which full-duplex communications are built, and lays out the techniques needed for network design, analysis and optimization;

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Machine Learning for Networking

learning for network slicingoptimization, 5G system, user behavior prediction, multimedia, IoT, securityand protection, optimization and new;

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Machine Learning for Future Wireless Communications

A comprehensive review to the theory, application and research of machine learning for future wireless communications In one single;

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Applied Optimization Methods for Wireless Networks

case study taken from state-of-the-art research. You will learn various tips and step-by-step instructions for developing optimization models;

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Autonomous Airborne Wireless Networks

, one not just concerned with ideas of control, trajectory optimization, and navigation. Autonomous Airborne Wireless Networks considers;

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Optimal Resource Allocation for Distributed Video Communication

prefetching framework for reducing seeking delays in P2P VoD applications Examines distributed optimization techniques for unicast and;

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Optimal Resource Allocation for Distributed Video Communication

prefetching framework for reducing seeking delays in P2P VoD applications Examines distributed optimization techniques for unicast and;

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Energy Harvesting Wireless Communications

of energy harvesting network optimization and cover topics such as energy harvesting ad hoc networks, cost aware design for energy harvesting;

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Advances in Swarm Intelligence

of swarm intelligence research; novel swarm-based optimization algorithms; swarming behaviour; some swarm intelligence algorithms and their;

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Advances in Swarm Intelligence

of swarm intelligence research; novel swarm-based optimization algorithms; swarming behaviour; some swarm intelligence algorithms and their;

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UltraDense Networks for 5G and Beyond

wireless networks The need for speed-and power-in wireless communications is growing exponentially. Data rates are projected to increase by a;

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Resource Allocation in Backscatter-Assisted Communication Networks

individual rationality are considered. We also employ the optimization approach and develop a relay mode selection and resource sharing scheme for;

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Green Internet of Things IoT Energy Efficiency Perspective

in the cellular network to M2M communications in industrial IoT (IIoT), (from single physical-layer optimization to cross-layer optimization, and;

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Green Internet of Things (IoT)

in the cellular network to M2M communications in industrial IoT (IIoT), (from single physical-layer optimization to cross-layer optimization, and;

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Convex Optimization for Signal Processing and Communications

Convex Optimization for Signal Processing and Communications: From Fundamentals to Applications provides fundamental background knowledge;

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Convex Optimization for Signal Processing and Communications

Convex Optimization for Signal Processing and Communications: From Fundamentals to Applications provides fundamental background knowledge;

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Optimization for Communications and Networks

This book provides an introduction to optimization theory and its applications. It is written for senior undergraduate students and first;

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Green Communications and Networking

experts in the field, it examines the latest research advances in green communications and networking for next-generation wired, wireless, and;

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Low overhead Communications in IoT Networks

size of the overhead message, e.g., identification information, pilot symbols for channel estimation, and control data. Such low-overhead;

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Low overhead Communications in IoT Networks

size of the overhead message, e.g., identification information, pilot symbols for channel estimation, and control data. Such low-overhead;

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Compressive Sensing For Wireless Networks

links data acquisition, compression, dimensionality reduction and optimization, has attracted significant attention from researchers and;

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Advanced Wireless Communications and Internet: Future Evolving Technologies

control; Relay-assisted Wireless Networks; Multicommodity flow optimization problems, flow optimization in heterogeneous networks, and dynamic;

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