| Description |
1 online resource (609 p.) |
| Contents |
Intro -- Contents -- Background and Fundamentals for ISAC -- Integrated Sensing and Communications: Background and Applications -- 1 Introduction -- 1.1 Integration and Coordination Gains -- 1.2 Design Philosophy -- 2 The Interplay Between S&C -- 2.1 ISAC: From Resource Competition to Co-design -- 2.2 The Driving Forces -- 3 Use Cases -- 3.1 Sensing as a Service -- 3.2 Smart Home and In-Cabin Sensing -- 3.3 Vehicle to Everything (V2X) -- 3.4 Smart Manufacturing and Industrial IoT -- 3.5 Remote Sensing and Geoscience -- 3.6 Environmental Monitoring -- 3.7 Human Computer Interaction (HCI) |
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4 Industry Progress and Standardization -- 5 Conclusions -- References -- Fundamental Limits for ISAC: Information and Communication Theoretic Perspective -- 1 Introduction -- 2 Performance Metrics -- 2.1 Communication and Estimation Rates -- 2.2 Communication and Estimation MSE -- 2.3 Capacity-Distortion Tradeoff -- 2.4 Rate-Error-Exponent Region -- 3 Information-Theoretic Limits of Point-to-Point ISAC Channels -- 3.1 Capacity-Distortion Tradeoff -- 3.2 Extensions -- 4 Information-Theoretic Limits of Multi-user ISAC Channels -- 4.1 Broadcast ISAC Channels -- 4.2 Multiple-access ISAC Channels |
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5 Open Problems and Future Research Directions -- 5.1 Fundamental Limits of ISAC Under More General Setup -- 5.2 Joint Communication and Recognition/Classification -- 5.3 Environment Side Information Aided ISAC -- 5.4 Artificial Intelligence (AI)-Aided ISAC -- References -- Fundamental Limits for ISAC-Radar Perspective -- 1 Introduction -- 2 Signal Model -- 3 Distributed Radar Parameter Estimation -- 3.1 Received Signal Quantization-based Method -- 3.2 Time Delay Quantization-based Method -- 4 Approximation of Quantization Output -- 5 CRB for Parameter Estimation Under Quantization Approximation |
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5.1 Received Signal Quantization-based Method -- 5.2 Time Delay Quantization-based Method -- 6 Performance Analysis -- 7 Simulation -- 7.1 Parameter Estimation -- 7.2 Comparison of the Two Methods -- 8 Conclusions -- References -- Fundamental Limits for ISAC-Localization Perspective -- 1 Introduction -- 2 System Model -- 2.1 Device-Based Localization -- 2.2 Device-Free Localization -- 2.3 Fisher Information Analysis -- 3 Performance Analysis of Device-Based Networks -- 3.1 Static Scenario -- 3.2 Dynamic Scenario -- 3.3 Analysis of Non-ideal Factors |
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4 Performance Analysis of Device-Free Localization Networks -- 4.1 Static Scenario -- 4.2 Dynamic Scenario -- 4.3 Analysis of Non-ideal Factors -- 5 Numercial Results -- 5.1 Device-Based Localization Network -- 5.2 Device-Free Localization Network -- 6 Conclusion -- References -- Fundamental Limits for ISAC-Asymptotics in Massive MIMO Sensing Systems -- 1 Introduction -- 2 Massive MIMO Radar System Description -- 2.1 Signal Model -- 2.2 A Robust Wald-Type Test for Target Detection -- 3 Introduction to Reinforcement Learning -- 3.1 Markov Decision Process (MDP) -- 3.2 The SARSA Learning Algorithm |
| Summary |
The coming generations of wireless network technologies will serve, not only as a means of connecting physical and digital environments, but also to set the foundation for an intelligent world in which all aspects are interconnected, sensed, and endowed with intelligence. Beyond merely providing communication capabilities, future networks will have the capacity to "see" and interpret the physical world. This development compels us to re-imagine the design of current communication infrastructures and terminals, taking into account crucial aspects such as fundamental constraints and tradeoffs, information extraction and processing technologies, issues of public security and privacy, as well as the emergence of numerous new applications. This field of research is known as Integrated Sensing and Communications (ISAC), and it has ushered in a paradigm shift towards the omnipresence of radio devices. This book provides the first comprehensive introduction to the ISAC theoretical and practical framework. Each chapter is authored by a group of world-leading experts, including over 10 IEEE Fellows. Readers can expect to gain both a broad overview and detailed technical insights into the latest ISAC innovations |
| Notes |
4 A RL-Based Detection Algorithm for MMIMO Radar |
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Print version record |
| Subject |
Integrated sensing and communications systems.
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Integrated sensing and communications systems
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| Form |
Electronic book
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| Author |
Liu, Fan
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Masouros, Christos
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Eldar, Yonina C.
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| ISBN |
9789819925018 |
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9819925010 |
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