相關主題
商品描述
This book is focused on addressing the designs of FinFET-based analog ICs for 5G and E-band communication networks. In addition, it also incorporates some of the contemporary developments over different fields. It highlights the latest advances, problems and challenges and presents the latest research results in the field of mm-wave integrated circuits designing based on scientific literature and its practical realization. The traditional approaches are excluded in this book. The authors cover various design guidelines to be taken care for while designing these circuits and detrimental scaling effects on the same. Moreover, Gallium Nitrides (GaN) are also reported to show huge potentials for the power amplifier designing required in 5G communication network. Subsequently, to enhance the readability of this book, the authors also include real-time problems in RFIC designing, case studies from experimental results, and clearly demarking design guidelines for the 5G communication ICs designing. This book incorporates the most recent FinFET architecture for the analog IC designing and the scaling effects along with the GaN technology as well.
作者簡介
Dr. Sangeeta Singh is an Assistant Professor, Department of Electronics and Communication Engineering, NIT Patna, India. She has received the Engineering degree in Electronics & Communication Engineering from SGSITS, (RGPV University, Bhopal) 2009, India, and the Master of Technology from Indian Institute of Information Technology and Management (IIITM), 2012, Gwalior, India. She received the Ph.D. degree in Communication Engineering from Indian Institute of Information Technology Design and Manufacturing (IIITDM Jabalpur) 2016, Jabalpur, India. She has been recognized as an eminent scholar in the field of Electronics & Computer Engineering. She has published 37 research papers in reputed national/international journals and conference. Along with this, she has actively participated in various technical courses workshops, seminar, etc., at the IITs and NITs. She reviewed various journals time to time, namely Nanotechnology IOP, Solid State Electronics, Elsevier, Electronics Letters IET, Micro Nano Letter, IET, Electronics Device Letter, IEEE, Journal of Nanoelectronics and Optoelectronics, American Scientific Publishers, Recent Patents on Engineering Advances in Science, Technology and Engineering Systems Journal and IEEE International Conference On Control, Automation, Robotics and Embedded System, CARE 2013. Her current research interests are comprehensive modeling of green transistors and charge based beyond CMOS devices, analytical and compact modeling of low power devices, modeling, simulation and characterization of emerging nano-electronics devices, development of low-cost medical monitoring, display and diagnostic biosensors using above devices and ultra-steep sub-threshold slope devices.
Dr. Rajeev Arya received the Engineering degree in Electronics & Communication Engineering from Government Engineering College, Ujjain, (RGPV University, Bhopal) 2008, India, and the Master of Technology in Electronics & Communication Engineering from Indian Institute of Technology (ISM), 2012, Dhanbad, India. He received the Ph.D. degree in Communication Engineering from Indian Institute of Technology (IIT Roorkee) 2016, Roorkee, India. He has received Ministry of Human Resource Development Scholarship (MHRD India) during M.Tech. and Ph.D. He has been working as an Associate Professor in the Department of Electronics and Communication Engineering in CMR Engineering College Hyderabad. He is currently an Assistant Professor with the Department of Electronics & Communication Engineering at National Institute of Technology, Patna, India. His current research interests are in wireless communication, soft computing techniques, cognitive radio, signal processing, communication systems & circuits design. He has published many articles in international journals and conferences and received best paper award at ICCET-2019. He serves as Guest Editor of International Journal of Information Technology and Web Engineering (IJITWE) IGI Global Publishers USA, International Journal of Computational Systems Engineering INDERSCIENCE Publishers, UK, and Reviewer for IEEE Communication Letter, some journal of Springer Publisher, SCI/SEC-E, Scopus indexed journals and some conferences. He is a member of the IEEE, ISRD and the IAENG. He is an active reviewer in many reputed international journals.
Dr. M. P. Singh is an Associate Professor, Department of Computer Science and Engineering, NIT Patna, India. He has received the Master of Technology in Computer Science and Engineering from M.N.N.I.T., Allahabad, UP, India, Deemed University, Allahabad, India, in 2003. He received the Ph.D. degree in Computer Science and Engineering in 2008 from the same institute. He has supervised 9 Ph.D.s in the various domains of machine learning and wireless sensor networks, biomedical machine learning and energy-efficient clustered protocols. He has 8 journals and 70 conference research publications to his credit. He has also written 3 books and 4 book chapters, edited 3 books and reviewed 9 books. He has huge experience of project handling as he was PI of ISEA Project, Phase - II, DeitY, GoI, Nodal officer for Implementing NKN Project, DeitY, Government of India, for Establishing Virtual Classroom, DeitY and project under Ph.D. scheme of DeitY in 2014-2015, Government of India. His current research interests are fuzzy set, social media, machine learning and wireless sensor network. He has actively participated in various technical courses workshops, seminar, etc., at the IITs and NITs. Dr. Brijesh Iyer received his Ph.D. degree in Electronics and Telecommunication Engineering from Indian Institute of Technology, Roorkee, India, in 2015. He is an Associate Professor in the University Department of E&TC Engineering at Dr. Babasaheb Ambedkar Technological University, Lonere (A State Technological University). He is a recipient of INAE research fellowship in the field of Engineering. He had 02 patents to his credit and authored over 40 research publications in peer-reviewed reputed journals and conference proceedings. He had authored 05 five books on curricula as well as cutting-edge technologies like sensor technology. He has served as the program committee member of various international conferences and reviewer for various international journals. His research interests include RF front-end design for 5G and beyond, IoT and biomedical image/signal processing.
Dr. Rajeev Arya received the Engineering degree in Electronics & Communication Engineering from Government Engineering College, Ujjain, (RGPV University, Bhopal) 2008, India, and the Master of Technology in Electronics & Communication Engineering from Indian Institute of Technology (ISM), 2012, Dhanbad, India. He received the Ph.D. degree in Communication Engineering from Indian Institute of Technology (IIT Roorkee) 2016, Roorkee, India. He has received Ministry of Human Resource Development Scholarship (MHRD India) during M.Tech. and Ph.D. He has been working as an Associate Professor in the Department of Electronics and Communication Engineering in CMR Engineering College Hyderabad. He is currently an Assistant Professor with the Department of Electronics & Communication Engineering at National Institute of Technology, Patna, India. His current research interests are in wireless communication, soft computing techniques, cognitive radio, signal processing, communication systems & circuits design. He has published many articles in international journals and conferences and received best paper award at ICCET-2019. He serves as Guest Editor of International Journal of Information Technology and Web Engineering (IJITWE) IGI Global Publishers USA, International Journal of Computational Systems Engineering INDERSCIENCE Publishers, UK, and Reviewer for IEEE Communication Letter, some journal of Springer Publisher, SCI/SEC-E, Scopus indexed journals and some conferences. He is a member of the IEEE, ISRD and the IAENG. He is an active reviewer in many reputed international journals.
Dr. M. P. Singh is an Associate Professor, Department of Computer Science and Engineering, NIT Patna, India. He has received the Master of Technology in Computer Science and Engineering from M.N.N.I.T., Allahabad, UP, India, Deemed University, Allahabad, India, in 2003. He received the Ph.D. degree in Computer Science and Engineering in 2008 from the same institute. He has supervised 9 Ph.D.s in the various domains of machine learning and wireless sensor networks, biomedical machine learning and energy-efficient clustered protocols. He has 8 journals and 70 conference research publications to his credit. He has also written 3 books and 4 book chapters, edited 3 books and reviewed 9 books. He has huge experience of project handling as he was PI of ISEA Project, Phase - II, DeitY, GoI, Nodal officer for Implementing NKN Project, DeitY, Government of India, for Establishing Virtual Classroom, DeitY and project under Ph.D. scheme of DeitY in 2014-2015, Government of India. His current research interests are fuzzy set, social media, machine learning and wireless sensor network. He has actively participated in various technical courses workshops, seminar, etc., at the IITs and NITs. Dr. Brijesh Iyer received his Ph.D. degree in Electronics and Telecommunication Engineering from Indian Institute of Technology, Roorkee, India, in 2015. He is an Associate Professor in the University Department of E&TC Engineering at Dr. Babasaheb Ambedkar Technological University, Lonere (A State Technological University). He is a recipient of INAE research fellowship in the field of Engineering. He had 02 patents to his credit and authored over 40 research publications in peer-reviewed reputed journals and conference proceedings. He had authored 05 five books on curricula as well as cutting-edge technologies like sensor technology. He has served as the program committee member of various international conferences and reviewer for various international journals. His research interests include RF front-end design for 5G and beyond, IoT and biomedical image/signal processing.
