{"product_id":"reconfigurable-intelligent-surfaces-for-6g-and-beyond-wireless-networks-isbn-9781394250110","title":"Reconfigurable Intelligent Surfaces for 6G and Beyond Wireless Networks","description":"\u003cp\u003e\u003cb\u003eNew insights into trends, deployments, applications, and associated benefits of reconfigurable intelligent surfaces (RIS) in emerging wireless communication systems\u003c\/b\u003e \u003c\/p\u003e\u003cp\u003e\u003ci\u003eReconfigurable Intelligent Surfaces for 6G and Beyond Wireless Networks\u003c\/i\u003e analyzes the design and applications of RIS in 6G and beyond, such as aiding efficient wireless signal transmission from the transmitter to the receiver while considering several practical constraints. In addition, the book offers advanced signal-processing algorithms to enable RIS applications in realistic environments and leverages advanced mathematical tools and machine learning algorithms to analyze RIS dynamics in evolving wireless networks. \u003c\/p\u003e\u003cp\u003eWritten in an easy-to-understand format, this book addresses the need to design energy- and spectral-efficient RIS models to address several network issues, including interference, pathloss, delay, traffic outage, etc. It also discusses critical security and privacy issues affecting all stakeholders in the wireless ecosystem, providing practical deep learning-based solutions to address these problems appropriately. \u003c\/p\u003e\u003cp\u003eThis book also addresses critical concepts, design principles, applications, and issues with RIS, shedding light on the recent progress and advancement in RIS-assisted wireless networks for 6G and beyond. \u003c\/p\u003e\u003cp\u003eWith contributions from experts and researchers from across the globe, this invaluable resource includes information on: \u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eEmerging applications and potential use cases of reconfigurable intelligent surfaces in advanced wireless communication systems\u003c\/li\u003e\n\u003cli\u003eChannel modeling and propagation measurements in RIS-based wireless communication systems\u003c\/li\u003e\n\u003cli\u003eEnergy and spectral efficiency and rate fairness for RIS-aided multiuser massive MIMO systems\u003c\/li\u003e\n\u003cli\u003ePerformance optimization of multiple RIS-assisted multiuser MIMO communication systems\u003c\/li\u003e\n\u003cli\u003eAnalytical phase-shift and amplitude element optimization for energy-efficient active RIS-aided massive MIMO systems\u003c\/li\u003e\n\u003cli\u003ePhysical layer security architecture and frameworks for RIS-aided wireless communication systems\u003c\/li\u003e\n\u003cli\u003eRIS deployment in terrestrial and non-terrestrial wireless communication systems\u003c\/li\u003e\n\u003cli\u003eApplication of AI and ML techniques for intelligent power control in RIS-empowered wireless communication systems\u003c\/li\u003e\n\u003c\/ul\u003e \u003cp\u003e\u003ci\u003eReconfigurable Intelligent Surfaces for 6G and Beyond Wireless Networks\u003c\/i\u003e is an essential up-to-date reference on the subject for industry and academic researchers, scientists, and engineers in the fields of wireless communications, ICTs, MIMO, antennas, sensing, channel measurements, and modeling technologies, as well as engineers and professionals involved in RIS-assisted wireless networks. \u003c\/p\u003e\u003cp\u003eAbout the Editors xxiii\u003c\/p\u003e \u003cp\u003eAbout the Contributors xxv\u003c\/p\u003e \u003cp\u003ePreface xxxix\u003c\/p\u003e \u003cp\u003eAcknowledgments xli\u003c\/p\u003e \u003cp\u003eIntroduction xliii\u003c\/p\u003e \u003cp\u003e\u003cb\u003e1 Reconfigurable Intelligent Surfaces-Assisted Wireless Communication Systems: Baseband Processing Perspective 1\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eThiruvengadam Sundarrajan Jayaraman, Velmurugan Periyakarupan Gurusamy Sivabalan, Vinoth Babu Kumaravelu, Agbotiname Lucky Imoize, and Helen Sheeba John Kennedy\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e1.1 Introduction 1\u003c\/p\u003e \u003cp\u003e1.2 RelatedWork 4\u003c\/p\u003e \u003cp\u003e1.3 Comprehensive Overview of RIS 7\u003c\/p\u003e \u003cp\u003e1.4 Characterization of RIS 11\u003c\/p\u003e \u003cp\u003e1.5 Results and Discussions 21\u003c\/p\u003e \u003cp\u003e1.6 Conclusion and Future Directions 27\u003c\/p\u003e \u003cp\u003e\u003cb\u003e2 Emerging Applications and Potential Use Cases of Reconfigurable Intelligent Surfaces in Wireless Communication Systems 33\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eHelen Sheeba John Kennedy, Anjana Babu Sujatha, Suganthi Evangeline Chakkaravarthy, Dipinkrishnan Rayaroth, Vinoth Babu Kumaravelu, Narushan Pillay, Arthi Murugadass, and Vishnu Vardhan Gudla\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e2.1 Introduction 33\u003c\/p\u003e \u003cp\u003e2.2 Use Cases of RIS 36\u003c\/p\u003e \u003cp\u003e2.3 RIS Applications 50\u003c\/p\u003e \u003cp\u003e2.4 Challenges and Research Trends 59\u003c\/p\u003e \u003cp\u003e2.5 Conclusions 61\u003c\/p\u003e \u003cp\u003e\u003cb\u003e3 Reconfigurable Intelligent Surfaces for 6G: A Comprehensive Overview and Electromagnetic Analysis 71\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eSuganthi Evangeline Chakkaravarthy, Dipinkrishnan Rayaroth, Vinoth Babu Kumaravelu, Thiruvengadam Sundarrajan Jayaraman, Velmurugan Periyakarupan Gurusamy Sivabalan, Vetrivel Chelian Thirumavalavan, Rajeshkumar Venkatesan, Arthi Murugadass, and Agbotiname Lucky Imoize\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e3.1 Introduction 71\u003c\/p\u003e \u003cp\u003e3.2 Overview of RIS 75\u003c\/p\u003e \u003cp\u003e3.3 EM Analysis of RIS 89\u003c\/p\u003e \u003cp\u003e3.4 Impact of Mutual Coupling in RIS 92\u003c\/p\u003e \u003cp\u003e3.5 Impact of Spatial Correlation in RIS 93\u003c\/p\u003e \u003cp\u003e3.6 Results and Discussion 101\u003c\/p\u003e \u003cp\u003e3.7 Conclusions 106\u003c\/p\u003e \u003cp\u003e\u003cb\u003e4 Spectral Efficiency and Rate Fairness for RIS-Aided Multiuser Massive MIMO System 113\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eRafael Augusto Pedriali, Wilson de Souza Junior, and Taufik Abrao\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e4.1 Introduction 113\u003c\/p\u003e \u003cp\u003e4.2 Fundamental Concepts 118\u003c\/p\u003e \u003cp\u003e4.3 Methodology 136\u003c\/p\u003e \u003cp\u003e4.4 Numerical Results 148\u003c\/p\u003e \u003cp\u003e4.5 Conclusions 162\u003c\/p\u003e \u003cp\u003e\u003cb\u003e5 Performance Optimization of Multiple RIS-Assisted Multiuser MIMO Communication Systems 169\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eFrancisco Ruben Castillo Soria, Roilhi Frajo Ibarra-Hernandez, Carlos Adrian Gutierrez Diaz de Leon, Abel Garcia Barrientos, Sharon Macias-Velasquez, and Jose Alberto del Puerto-Flores\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e5.1 Introduction 169\u003c\/p\u003e \u003cp\u003e5.2 RelatedWork 171\u003c\/p\u003e \u003cp\u003e5.3 N-RIS-assisted MU-MIMO System Model 173\u003c\/p\u003e \u003cp\u003e5.4 Blind RISs and Optimized Transmission 176\u003c\/p\u003e \u003cp\u003e5.5 System Performance Results 180\u003c\/p\u003e \u003cp\u003e5.6 Artificial Intelligence in RIS-assisted MU-MIMO Systems 186\u003c\/p\u003e \u003cp\u003e5.7 Future Trends, Challenges, and Opportunities 195\u003c\/p\u003e \u003cp\u003e5.8 Conclusion 196\u003c\/p\u003e \u003cp\u003e\u003cb\u003e6 Analytical Phase Shift and Amplitude Element Optimization for Energy-Efficient Active RIS-Aided Massive MIMO Systems 201\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eWilson de Souza Junior, Jose Carlos Marinello Filho, and Taufik Abrao\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e6.1 Introduction 201\u003c\/p\u003e \u003cp\u003e6.2 RelatedWorks 205\u003c\/p\u003e \u003cp\u003e6.3 General System Model for RIS-aided M-MIMO 211\u003c\/p\u003e \u003cp\u003e6.4 Optimization Techniques 218\u003c\/p\u003e \u003cp\u003e6.5 Problem Formulation 221\u003c\/p\u003e \u003cp\u003e6.6 Proposed Solution 222\u003c\/p\u003e \u003cp\u003e6.7 Numerical Results 228\u003c\/p\u003e \u003cp\u003e6.7.1 Efficiency of the Proposed Algorithm 228\u003c\/p\u003e \u003cp\u003e6.8 Conclusions and Perspectives 233\u003c\/p\u003e \u003cp\u003e\u003cb\u003e7 Element Grouping in IRS-Aided Wireless Communication System 243\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eSamarendra Nath Sur, Huu Quy Tran, and Agbotiname Lucky Imoize\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e7.1 Introduction 243\u003c\/p\u003e \u003cp\u003e7.2 Element Grouping 246\u003c\/p\u003e \u003cp\u003e7.3 Mathematical Model 252\u003c\/p\u003e \u003cp\u003e7.4 Results 260\u003c\/p\u003e \u003cp\u003e7.5 Conclusion and Future Scope 264\u003c\/p\u003e \u003cp\u003e\u003cb\u003e8 Reconfigurable Intelligent Surface-Empowered Non-orthogonal Multiple Access: Outage and ABER Analysis of Smart and Blind Transmissions 271\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eVinoth Babu Kumaravelu, Anjana Babu Sujatha, Helen Sheeba John Kennedy, Francisco Ruben Castillo Soria, Dinh-Thuan Do, Velmurugan Periyakarupan Gurusamy Sivabalan, Thiruvengadam Sundarrajan Jayaraman, Agbotiname Lucky Imoize, Vishnu Vardhan Gudla, and Arthi Murugadass\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e8.1 Introduction 271\u003c\/p\u003e \u003cp\u003e8.2 RelatedWorks 274\u003c\/p\u003e \u003cp\u003e8.3 RIS-AP-NOMA 277\u003c\/p\u003e \u003cp\u003e8.4 Analytical Model 278\u003c\/p\u003e \u003cp\u003e8.5 Discussions on Simulations 285\u003c\/p\u003e \u003cp\u003e8.6 Conclusions 296\u003c\/p\u003e \u003cp\u003e\u003cb\u003e9 Convergence of RIS with Emerging Wireless Technologies 301\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eMehmet Bilim, Nuri Kapucu, Yasin Kabalci, and Vinoth Babu Kumaravelu\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e9.1 Introduction 301\u003c\/p\u003e \u003cp\u003e9.2 RIS-Assisted Wireless Communication Systems 302\u003c\/p\u003e \u003cp\u003e9.3 Theoretical Analysis of RIS-Assisted Systems 321\u003c\/p\u003e \u003cp\u003e \u003c\/p\u003e \u003cp\u003e\u003cb\u003e10 A Survey on RIS for 6G-IoT Wireless Positioning and Localization 335\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eVivek Menon Unnikrishnan, Poongundran Selvaprabhu, Nivetha Baskar, Vinoth Kumar Chandra Babu, Rajeshkumar Venkatesan, Vinoth Babu Kumaravelu, Sunil Chinnadurai, and Agbotiname Lucky Imoize\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e10.1 Introduction 335\u003c\/p\u003e \u003cp\u003e10.2 Role of RIS-Assisted IoT Networks inWireless Positioning and Localization 338\u003c\/p\u003e \u003cp\u003e10.3 Localization Principles and RIS-Aided Localization Algorithms 348\u003c\/p\u003e \u003cp\u003e10.4 State-of-the-Art Research on Positioning and Localization with the Assistance of RIS in 6G-IoT 354\u003c\/p\u003e \u003cp\u003e10.5 Potential Challenges of RIS-Aided 6G-IoT for Wireless Positioning and Localization 362\u003c\/p\u003e \u003cp\u003e10.6 Future Research Directions 365\u003c\/p\u003e \u003cp\u003e10.7 Conclusions 368\u003c\/p\u003e \u003cp\u003e\u003cb\u003e11 Security and Privacy Issues in RIS-Based Wireless Communication Systems 377\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eNivetha Baskar, Poongundran Selvaprabhu, Vivek Menon Unnikrishnan, Vinoth Kumar Chandra Babu, Vinoth Babu Kumaravelu, Vetriveeran Rajamani, Sunil Chinnadurai, and Md. Abdul Latif Sarker\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e11.1 Introduction 377\u003c\/p\u003e \u003cp\u003e11.2 RelatedWork 380\u003c\/p\u003e \u003cp\u003e11.3 Ensuring Security and Privacy in 6G Applications Assisted by RIS 381\u003c\/p\u003e \u003cp\u003e11.4 Various Threats and Attacks in RIS-Supported Wireless Systems 388\u003c\/p\u003e \u003cp\u003e11.5 Secure Physical Layer Networks for RIS-Assisted System 394\u003c\/p\u003e \u003cp\u003e11.6 Conclusions and Future Scope 398\u003c\/p\u003e \u003cp\u003e\u003cb\u003e12 AI and ML Techniques for Intelligent Power Control in RIS-Empowered Wireless Communication Systems 405\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eAmmar Summaq, Mukkara Prasanna Kumar, Sunil Chinnadurai, Poongundran Selvaprabhu, Vinoth Babu Kumaravelu, and Agbotiname Lucky Imoize\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e12.1 Introduction 405\u003c\/p\u003e \u003cp\u003e12.2 RelatedWork 408\u003c\/p\u003e \u003cp\u003e12.3 DRL Algorithms for RIS-Assisted Wireless Communication Systems 413\u003c\/p\u003e \u003cp\u003e12.4 Proposed Method for Intelligent Power Control 419\u003c\/p\u003e \u003cp\u003e12.5 Results and Analysis 425\u003c\/p\u003e \u003cp\u003e12.6 Discussions 426\u003c\/p\u003e \u003cp\u003e12.7 Limitations of the Survey 427\u003c\/p\u003e \u003cp\u003e12.8 Critical Lessons Learned 427\u003c\/p\u003e \u003cp\u003e12.9 Conclusion 428\u003c\/p\u003e \u003cp\u003e12.10 Future Scope 428\u003c\/p\u003e \u003cp\u003e\u003cb\u003e13 An Overview of Channel Modeling and Propagation Measurements in IRS-Based Wireless Communication Systems 435\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eMukkara Prasanna Kumar, Ammar Summaq, Sunil Chinnadurai, Vinoth Babu Kumaravelu, Poongundran Selvaprabhu, Agbotiname Lucky Imoize, and Gaurav Jaiswal\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e13.1 Introduction 435\u003c\/p\u003e \u003cp\u003e13.2 RelatedWork 438\u003c\/p\u003e \u003cp\u003e13.3 IRS Technology and Its Fundamental Principles 440\u003c\/p\u003e \u003cp\u003e13.4 Channel Modeling and Propagation Measurements for Communication Systems 441\u003c\/p\u003e \u003cp\u003e13.5 IRS Channel Modeling 448\u003c\/p\u003e \u003cp\u003e13.6 Limitations of the Survey 464\u003c\/p\u003e \u003cp\u003e13.7 Critical Lessons Learned 465\u003c\/p\u003e \u003cp\u003e13.8 Potential Challenges of Propagation Measurements and Channel Modeling 465\u003c\/p\u003e \u003cp\u003e13.9 Conclusion and Future Scope 466\u003c\/p\u003e \u003cp\u003e\u003cb\u003e14 Deep Reinforcement Algorithms in RIS-Empowered Wireless Communication Systems 475\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eDang Ngoc Thien Nguyen\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e14.1 Introduction 475\u003c\/p\u003e \u003cp\u003e14.2 RelatedWorks 477\u003c\/p\u003e \u003cp\u003e14.3 What is Deep Reinforcement Learning? 480\u003c\/p\u003e \u003cp\u003e14.4 Deep Reinforcement Learning Algorithms for RIS-Empowered Wireless Communication Systems 489\u003c\/p\u003e \u003cp\u003e14.5 Limitations and Key Takeaways 493\u003c\/p\u003e \u003cp\u003e14.6 Conclusion 494\u003c\/p\u003e \u003cp\u003e\u003cb\u003e15 Examining Physical Layer Security for RIS-Aided Wireless Communication Systems 499\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eTuan Minh La, Hieu Tri Nguyen, and Khoi Nguyen Phan\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e15.1 Introduction 499\u003c\/p\u003e \u003cp\u003e15.2 RelatedWorks 501\u003c\/p\u003e \u003cp\u003e15.3 Fundamentals of PLS, RIS, and IoT 504\u003c\/p\u003e \u003cp\u003e15.4 RIS-Aided PLS 509\u003c\/p\u003e \u003cp\u003e15.5 Mathematical Analysis of PLS in an RIS-Aided NOMA Network 516\u003c\/p\u003e \u003cp\u003e15.6 Limitations and Key Takeaways 519\u003c\/p\u003e \u003cp\u003e15.7 Conclusion 520\u003c\/p\u003e \u003cp\u003e\u003cb\u003e16 RIS-Empowered Terrestrial and Non-terrestrial Wireless Communication Systems 525\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eUnwana Macaulay Ekpe\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e16.1 Introduction 525\u003c\/p\u003e \u003cp\u003e16.2 Metamaterials and Metasurfaces 527\u003c\/p\u003e \u003cp\u003e16.3 RIS-Empowered Terrestrial Communication Systems 530\u003c\/p\u003e \u003cp\u003e16.4 RIS-Empowered Non-Terrestrial Communication Systems 540\u003c\/p\u003e \u003cp\u003e16.5 Lessons Learned and Future Research Direction 547\u003c\/p\u003e \u003cp\u003e16.6 Conclusion 548\u003c\/p\u003e \u003cp\u003e\u003cb\u003e17 Energy Efficiency and Optimization of RIS-Based Wireless Communication Systems 551\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eKien Ho, Minh Dang Nguyen, Minh Tuan Pham, Hung Gia Truong, and Arjun Chakravarthi Pogaku\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e17.1 Introduction 551\u003c\/p\u003e \u003cp\u003e17.2 Optimization for RIS-Based Transmission 555\u003c\/p\u003e \u003cp\u003e17.3 Cooperative RIS 559\u003c\/p\u003e \u003cp\u003e17.4 Optimization for RIS-Assisted Beamforming 563\u003c\/p\u003e \u003cp\u003e17.5 RIS Partitioning 571\u003c\/p\u003e \u003cp\u003e17.6 Simulation Results of Multiple RISs Systems 574\u003c\/p\u003e \u003cp\u003e17.7 Discussion 577\u003c\/p\u003e \u003cp\u003e17.8 Conclusion 577\u003c\/p\u003e \u003cp\u003eReferences 578\u003c\/p\u003e \u003cp\u003eIndex 583\u003c\/p\u003e  \u003cp\u003e\u003cb\u003eAgbotiname Lucky Imoize\u003c\/b\u003e is a Lecturer in the Department of Electrical and Electronics Engineering at the University of Lagos, Nigeria. \u003c\/p\u003e\u003cp\u003e\u003cb\u003eVinoth Babu Kumaravelu, PhD,\u003c\/b\u003e is a Professor in the Department of Communication Engineering, School of Electronics Engineering, Vellore Institute of Technology, Vellore, Tamil Nadu, India. \u003c\/p\u003e\u003cp\u003e\u003cb\u003eDinh-Thuan Do, PhD,\u003c\/b\u003e is an Assistant Professor of Computer and Electrical Engineering, School of Engineering, University of Mount Union, Ohio, USA.   \u003c\/p\u003e\u003cp\u003e\u003cb\u003eNew insights into trends, deployments, applications, and associated benefits of reconfigurable intelligent surfaces (RIS) in emerging wireless communication systems\u003c\/b\u003e \u003c\/p\u003e\u003cp\u003e\u003ci\u003eReconfigurable Intelligent Surfaces for 6G and Beyond Wireless Networks\u003c\/i\u003e analyzes the design and applications of RIS in 6G and beyond, such as aiding efficient wireless signal transmission from the transmitter to the receiver while considering several practical constraints. In addition, the book offers advanced signal-processing algorithms to enable RIS applications in realistic environments and leverages advanced mathematical tools and machine learning algorithms to analyze RIS dynamics in evolving wireless networks. \u003c\/p\u003e\u003cp\u003eWritten in an easy-to-understand format, this book addresses the need to design energy- and spectral-efficient RIS models to address several network issues, including interference, pathloss, delay, traffic outage, etc. It also discusses critical security and privacy issues affecting all stakeholders in the wireless ecosystem, providing practical deep learning-based solutions to address these problems appropriately. \u003c\/p\u003e\u003cp\u003eThis book also addresses critical concepts, design principles, applications, and issues with RIS, shedding light on the recent progress and advancement in RIS-assisted wireless networks for 6G and beyond. \u003c\/p\u003e\u003cp\u003eWith contributions from experts and researchers from across the globe, this invaluable resource includes information on: \u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eEmerging applications and potential use cases of reconfigurable intelligent surfaces in advanced wireless communication systems\u003c\/li\u003e\n\u003cli\u003eChannel modeling and propagation measurements in RIS-based wireless communication systems\u003c\/li\u003e\n\u003cli\u003eEnergy and spectral efficiency and rate fairness for RIS-aided multiuser massive MIMO systems\u003c\/li\u003e\n\u003cli\u003ePerformance optimization of multiple RIS-assisted multiuser MIMO communication systems\u003c\/li\u003e\n\u003cli\u003eAnalytical phase-shift and amplitude element optimization for energy-efficient active RIS-aided massive MIMO systems\u003c\/li\u003e\n\u003cli\u003ePhysical layer security architecture and frameworks for RIS-aided wireless communication systems\u003c\/li\u003e\n\u003cli\u003eRIS deployment in terrestrial and non-terrestrial wireless communication systems\u003c\/li\u003e\n\u003cli\u003eApplication of AI and ML techniques for intelligent power control in RIS-empowered wireless communication systems\u003c\/li\u003e\n\u003c\/ul\u003e \u003cp\u003e\u003ci\u003eReconfigurable Intelligent Surfaces for 6G and Beyond Wireless Networks\u003c\/i\u003e is an essential up-to-date reference on the subject for industry and academic researchers, scientists, and engineers in the fields of wireless communications, ICTs, MIMO, antennas, sensing, channel measurements, and modeling technologies, as well as engineers and professionals involved in RIS-assisted wireless networks.\u003c\/p\u003e","brand":"Wiley-IEEE Press","offers":[{"title":"Default Title","offer_id":47989925904613,"sku":"NP9781394250110","price":150.0,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1842\/7735\/files\/9781394250110.jpg?v=1761785932","url":"https:\/\/k12savings.com\/es\/products\/reconfigurable-intelligent-surfaces-for-6g-and-beyond-wireless-networks-isbn-9781394250110","provider":"K12savings","version":"1.0","type":"link"}