Optimization-driven deep reinforcement learning for wireless networks Shimin Gong, Dusit Niyato, Bo Gu, Kaibin Huang

Format:

Book

Author/Creator:

Gong, Shimin, author.

Niyato, Dusit, author.

Gu, Bo (Professor), author.

Huang, Kaibin, author.

Series:

Wireless networks (Springer (Firm))

Wireless networks 2366-1445

Language:

English

Subjects (All):

Wireless communication systems.

Deep learning (Machine learning).

Wireless Technology.

Deep Learning.

Medical Subjects:

Wireless Technology.

Deep Learning.

Physical Description:

1 online resource

Place of Publication:

Cham, Switzerland Springer [2026]

Summary:

"This book explores the integration and interplay of model-based optimization and model-free deep reinforcement learning (DRL). It addresses the growing complexity of future wireless networks. This book begins with a concise overview of foundational DRL algorithms and then delves into advanced frameworks, including optimization-driven DRL, hierarchical DRL, multi-agent DRL, Bayesian-enhanced DRL, and Lyapunov-guided DRL. Each framework is illustrated through case studies in emerging scenarios such as intelligent reflecting surface (IRS)-assisted wireless communications, UAV-assisted wireless networks, backscatter-assisted relay communications, and mobile edge computing. Each chapter of this book demonstrates how partial system knowledge, inherent structural properties, and problem decomposition can dramatically accelerate learning convergence. It also improves sample efficiency, and enhance robustness in decentralized, dynamic, and large-scale wireless networks. Tailored for researchers and graduate students focused on wireless communications and AI-driven networking, it bridges theoretical innovation with practical implementation challenges. It provides a roadmap for designing intelligent, autonomous, and resource-efficient next-generation wireless systems. Engineers and professional specializing in AI and machine learning for wireless systems will also find this book useful as a reference"-- Springer Nature Link

Contents:

Optimization-driven DRL in wireless networks

Hierarchical DRL for heterogeneous wireless networks

Hierarchical DRL for IRS-assisted AoI minimization

Hierarchical MADRL for mobile edge computing

Hierarchical MADRL for UAV-assisted wireless networks

Lyapunov-guided DRL for stochastic AoI minimization

Notes:

Includes bibliographical references

Online resource; title from PDF title page (Springer Nature Link, viewed June 3, 2026)

Other Format:

Print version Gong, Shimin Optimization-driven deep reinforcement learning for wireless networks

ISBN:

9783032229977

3032229979

OCLC:

1593181218

Access Restriction:

Restricted for use by site license