{"product_id":"intelligent-surfaces-empowered-6g-wireless-network-9781119913092","title":"Intelligent Surfaces Empowered 6g Wireless","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eINTELLIGENT SURFACES EMPOWERED 6G WIRELESS NETWORK Integrate intelligent surfaces into the wireless networks of the future. The next generation of wireless technology (6G) promises to transform wireless communication and human interconnectivity like never before. Intelligent surface, which adopts significant numbers of small reflective surfaces to reconfigure wireless connections and improve network performance, has recently been recognized as a critical component for enabling future 6G. The next phase of wireless technology demands engineers and researchers are familiar with this technology and are able to cope with the challenges. Intelligent Surfaces Empowered 6G Wireless Network provides a thorough overview of intelligent surface technologies and their applications in wireless networks and 6G. It includes an introduction to the fundamentals of intelligent surfaces, before moving to more advanced content for engineers who understand them and look to apply them in the 6G realm. Its d\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003e\u003cp\u003eAbout the Editors xiii\u003c\/p\u003e \u003cp\u003eList of Contributors xv\u003c\/p\u003e \u003cp\u003ePreface xxi\u003c\/p\u003e \u003cp\u003eAcknowledgement xxiii\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart I Fundamentals of IRS 1\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e1 Introduction to Intelligent Surfaces 3\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eKaitao Meng, Qingqing Wu, Trung Q. Duong, Derrick Wing Kwan Ng, Robert Schober, and Rui Zhang\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e1.1 Background 3\u003c\/p\u003e \u003cp\u003e1.2 Concept of Intelligent Surfaces 5\u003c\/p\u003e \u003cp\u003e1.3 Advantages of Intelligence Surface 7\u003c\/p\u003e \u003cp\u003e1.4 Potential Applications 8\u003c\/p\u003e \u003cp\u003e1.5 Conclusion 12\u003c\/p\u003e \u003cp\u003e\u003cb\u003e2 IRS Architecture and Hardware Design 15\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eZijian Zhang, Yuhao Chen, Qiumo Yu, and Linglong Dai\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e2.1 Metamaterials: Basics of IRS 15\u003c\/p\u003e \u003cp\u003e2.2 Programmable Metasurfaces 16\u003c\/p\u003e \u003cp\u003e2.3 IRS Hardware Design 18\u003c\/p\u003e \u003cp\u003e2.4 State-of-the-Art IRS Prototype 23\u003c\/p\u003e \u003cp\u003e3 On Path Loss and Channel Reciprocity of RIS-Assisted Wireless Communications 37\u003c\/p\u003e \u003cp\u003eWankai Tang, Jinghe Wang, Jun Yan Dai, Marco Di Renzo, Shi Jin, Qiang Cheng, and Tie Jun Cui\u003c\/p\u003e \u003cp\u003e3.1 Introduction 37\u003c\/p\u003e \u003cp\u003e3.2 Path Loss Modeling and Channel Reciprocity Analysis 39\u003c\/p\u003e \u003cp\u003e3.3 Path Loss Measurement and Channel Reciprocity Validation 47\u003c\/p\u003e \u003cp\u003e3.4 Conclusion 54\u003c\/p\u003e \u003cp\u003e\u003cb\u003e4 Intelligent Surface Communication Design: Main Challenges and Solutions 59\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eKaitao Meng, Qingqing Wu, and Rui Zhang\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e4.1 Introduction 59\u003c\/p\u003e \u003cp\u003e4.2 Channel Estimation 59\u003c\/p\u003e \u003cp\u003e4.3 Passive Beamforming Optimization 65\u003c\/p\u003e \u003cp\u003e4.4 IRS Deployment 73\u003c\/p\u003e \u003cp\u003e4.5 Conclusion 79\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart II IRS for 6G Wireless Systems 83\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e5 Overview of IRS for 6G and Industry Advance 85\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eRuiqi (Richie) Liu, Konstantinos D. Katsanos, Qingqing Wu, and George C. Alexandropoulos\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e5.1 IRS for 6G 85\u003c\/p\u003e \u003cp\u003e5.2 Industrial Progresses 98\u003c\/p\u003e \u003cp\u003e\u003cb\u003e6 RIS-Aided Massive MIMO Antennas 117\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eStefano Buzzi, Carmen D'Andrea, and Giovanni Interdonato\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e6.1 Introduction 117\u003c\/p\u003e \u003cp\u003e6.2 System Model 119\u003c\/p\u003e \u003cp\u003e6.3 Uplink\/Downlink Signal Processing 123\u003c\/p\u003e \u003cp\u003e6.4 Performance Measures 126\u003c\/p\u003e \u003cp\u003e6.5 Optimization of the RIS Phase Shifts 128\u003c\/p\u003e \u003cp\u003e6.6 Numerical Results 130\u003c\/p\u003e \u003cp\u003e6.7 Conclusions 134\u003c\/p\u003e \u003cp\u003e\u003cb\u003e7 Localization, Sensing, and Their Integration with RISs 139\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eGeorge C. Alexandropoulos, Hyowon Kim, Jiguang He, and Henk Wymeersch\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e7.1 Introduction 139\u003c\/p\u003e \u003cp\u003e7.2 RIS Types and Channel Modeling 142\u003c\/p\u003e \u003cp\u003e7.3 Localization with RISs 147\u003c\/p\u003e \u003cp\u003e7.4 Sensing with RISs 154\u003c\/p\u003e \u003cp\u003e7.5 Conclusion and Open Challenges 159\u003c\/p\u003e \u003cp\u003e\u003cb\u003e8 IRS-Aided THz Communications 167\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eBoyu Ning and Zhi Chen\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e8.1 IRS-Aided THz MIMO System Model 167\u003c\/p\u003e \u003cp\u003e8.2 Beam Training Protocol 168\u003c\/p\u003e \u003cp\u003e8.3 IRS Prototyping 175\u003c\/p\u003e \u003cp\u003e8.4 IRS-THz Communication Applications 182\u003c\/p\u003e \u003cp\u003e\u003cb\u003e9 Joint Design of Beamforming, Phase Shifting, and Power Allocation in a Multi-cluster IRS-NOMA Network 187\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eXiming Xie, Fang Fang, and Zhiguo Ding\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e9.1 Introduction 187\u003c\/p\u003e \u003cp\u003e9.2 System Model and Problem Formulation 190\u003c\/p\u003e \u003cp\u003e9.3 Alternating Algorithm 193\u003c\/p\u003e \u003cp\u003e9.4 Simulation Result 200\u003c\/p\u003e \u003cp\u003e9.5 Conclusion 203\u003c\/p\u003e \u003cp\u003e\u003cb\u003e10 IRS-Aided Mobile Edge Computing: From Optimization to Learning 207\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eXiaoyan Hu, Kai-Kit Wong, Christos Masouros, and Shi Jin\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e10.1 Introduction 207\u003c\/p\u003e \u003cp\u003e10.2 System Model and Objective 208\u003c\/p\u003e \u003cp\u003e10.3 Optimization-Based Approaches to IRS-Aided MEC 211\u003c\/p\u003e \u003cp\u003e10.4 Deep Learning Approaches to IRS-Aided MEC 216\u003c\/p\u003e \u003cp\u003e10.5 Comparative Evaluation Results 222\u003c\/p\u003e \u003cp\u003e10.6 Conclusions 226\u003c\/p\u003e \u003cp\u003e\u003cb\u003e11 Interference Nulling Using Reconfigurable Intelligent Surface 229\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eTao Jiang, Foad Sohrabi, and Wei Yu\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e11.1 Introduction 229\u003c\/p\u003e \u003cp\u003e11.2 System Model 231\u003c\/p\u003e \u003cp\u003e11.3 Interference Nulling via RIS 232\u003c\/p\u003e \u003cp\u003e11.4 Learning to Minimize Interference 241\u003c\/p\u003e \u003cp\u003e11.5 Conclusions 247\u003c\/p\u003e \u003cp\u003e\u003cb\u003e12 Blind Beamforming for IRS Without Channel Estimation 251\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eKaiming Shen and Zhi-Quan Luo\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e12.1 Introduction 251\u003c\/p\u003e \u003cp\u003e12.2 System Model 252\u003c\/p\u003e \u003cp\u003e12.3 Random-Max Sampling (RMS) 254\u003c\/p\u003e \u003cp\u003e12.4 Conditional Sample Mean (CSM) 255\u003c\/p\u003e \u003cp\u003e12.5 Some Comments on CSM 257\u003c\/p\u003e \u003cp\u003e12.6 Field Tests 262\u003c\/p\u003e \u003cp\u003e12.7 Conclusion 268\u003c\/p\u003e \u003cp\u003e\u003cb\u003e13 RIS in Wireless Information and Power Transfer 271\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eYang Zhao and Bruno Clerckx\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e13.1 Introduction 271\u003c\/p\u003e \u003cp\u003e13.2 RIS-Aided WPT 274\u003c\/p\u003e \u003cp\u003e13.3 RIS-Aided WIPT 285\u003c\/p\u003e \u003cp\u003e13.4 Conclusion 291\u003c\/p\u003e \u003cp\u003e\u003cb\u003e14 Beamforming Design for Self-Sustainable IRS-Assisted MISO Downlink Systems 297\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eShaokang Hu and Derrick Wing Kwan Ng\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e14.1 Introduction 297\u003c\/p\u003e \u003cp\u003e14.2 System Model 299\u003c\/p\u003e \u003cp\u003e14.3 Problem Formulation 303\u003c\/p\u003e \u003cp\u003e14.4 Solution 303\u003c\/p\u003e \u003cp\u003e14.5 Numerical Results 307\u003c\/p\u003e \u003cp\u003e14.6 Summary 311\u003c\/p\u003e \u003cp\u003e14.7 Further Extension 311\u003c\/p\u003e \u003cp\u003e\u003cb\u003e15 Optical Intelligent Reflecting Surfaces 315\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eHedieh Ajam and Robert Schober\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e15.1 Introduction 315\u003c\/p\u003e \u003cp\u003e15.2 System and Channel Model 317\u003c\/p\u003e \u003cp\u003e15.3 Communication Theoretical Modeling of Optical IRSs 319\u003c\/p\u003e \u003cp\u003e15.4 Design of Optical IRSs for FSO Systems 327\u003c\/p\u003e \u003cp\u003e15.5 Simulation Results 331\u003c\/p\u003e \u003cp\u003e15.6 Future Extension 333\u003c\/p\u003e \u003cp\u003eBibliography 334\u003c\/p\u003e \u003cp\u003eIndex 335\u003c\/p\u003e","brand":"John Wiley \u0026 Sons Inc","offers":[{"title":"Default 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