Yuhua Xu – författare
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5 produkter
Game-theoretic Interference Coordination Approaches for Dynamic Spectrum Access
Häftad, 2015
550 kr
Lägg i varukorg
Written by experts in the field, this book is based on recent research findings in dynamic spectrum access for cognitive radio networks. It establishes a game-theoretic framework and presents cutting-edge technologies for distributed interference coordination. With game-theoretic formulation and …
Game-theoretic Interference Coordination Approaches for Dynamic Spectrum Access
E-bok, 2015
718 kr
Lägg i varukorg
Written by experts in the field, this book is based on recent research findings in dynamic spectrum access for cognitive radio networks. It establishes a game-theoretic framework and presents cutting-edge technologies for distributed interference coordination. With game-theoretic formulation and …
Towards User-Centric Intelligent Network Selection in 5G Heterogeneous Wireless Networks
A Reinforcement Learning Perspective
Av Zhiyong Du, Bin Jiang m. fl.
Inbunden, 2019
1093 kr
Lägg i varukorg
This book presents reinforcement learning (RL) based solutions for user-centric online network selection optimization. The main content can be divided into three parts. The first part (chapter 2 and 3) focuses on how to learning the best network when QoE is revealed beyond QoS under the framework …
Towards User-Centric Intelligent Network Selection in 5G Heterogeneous Wireless Networks
A Reinforcement Learning Perspective
E-bok, 2019
1459 kr
Lägg i varukorg
This book presents reinforcement learning (RL) based solutions for user-centric online network selection optimization. The main content can be divided into three parts. The first part (chapter 2 and 3) focuses on how to learning the best network when QoE is revealed beyond QoS under the framework …
Towards User-Centric Intelligent Network Selection in 5G Heterogeneous Wireless Networks
A Reinforcement Learning Perspective
Av Zhiyong Du, Bin Jiang m. fl.
Häftad, 2020
1093 kr
Lägg i varukorg
This book presents reinforcement learning (RL) based solutions for user-centric online network selection optimization. The main content can be divided into three parts. The first part (chapter 2 and 3) focuses on how to learning the best network when QoE is revealed beyond QoS under the framework …