Poisson Line Cox Process: Foundations and Applications to Vehicular Networks: Synthesis Lectures on Learning, Networks, and Algorithms
Autor Harpreet S. Dhillon, Vishnu Vardhan Chetluren Limba Engleză Paperback – 24 iun 2020
Based largely on the original research of the authors, this is the first book that specifically focuses on the self-contained mathematical treatment of the PLCP. The ideal audience of this book is graduate students as well as researchers in academia and industry whoare familiar with probability theory, have some exposure to point processes, and are interested in the field of stochastic geometry and vehicular networks. Given the diverse backgrounds of the potential readers, the focus has been on providing an accessible and pedagogical treatment of this topic by consciously avoiding the measure theoretic details without compromising mathematical rigor.
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Specificații
ISBN-13: 9783031012518
ISBN-10: 3031012518
Pagini: 131
Ilustrații: XVII, 131 p.
Dimensiuni: 191 x 235 mm
Greutate: 0.27 kg
Editura: Springer International Publishing
Colecția Springer
Seria Synthesis Lectures on Learning, Networks, and Algorithms
Locul publicării:Cham, Switzerland
ISBN-10: 3031012518
Pagini: 131
Ilustrații: XVII, 131 p.
Dimensiuni: 191 x 235 mm
Greutate: 0.27 kg
Editura: Springer International Publishing
Colecția Springer
Seria Synthesis Lectures on Learning, Networks, and Algorithms
Locul publicării:Cham, Switzerland
Cuprins
Preface.- Acknowledgments.- Introduction.- The Poisson Point Process.- The Poisson Line Process.- The Poisson Line Cox Process.- Vehicular Communication Networks.- Ad Hoc Network Model.- Cellular Network Model.- Load Analysis.- Localization Networks.- Path Distance Characteristics.- Potential Future Research.- Bibliography.- Authors' Biographies.
Notă biografică
Harpreet S. Dhillon received the B.Tech. degree in electronics and communication engineering from IIT Guwahati in 2008, the M.S. degree in electrical engineering from Virginia Tech in2010, and the Ph.D. degree in electrical engineering from the University of Texas at Austin in2013. After serving as a Viterbi Postdoctoral Fellow at the University of Southern California fora year, he joined Virginia Tech in 2014, where he is currently an Associate Professor of electrical and computer engineering and the Elizabeth and James E. Turner Jr. ’56 Faculty Fellow. His research interests include communication theory, wireless networks, stochastic geometry, and machine learning. He is a Clarivate Analytics Highly Cited Researcher and has coauthored five best paper award recipients including the 2014 IEEE Leonard G. Abraham Prize, the 2015 IEEE ComSoc Young Author Best Paper Award, and the 2016 IEEE Heinrich Hertz Award. He was named the 2017 Outstanding New Assistant Professor, the 2018 Steven O.Lane Junior Faculty Fellow, the 2018 College of Engineering Faculty Fellow, and the recipient of the 2020 Dean’s Award for Excellence in Research by Virginia Tech. His other academic honors include the 2008 Agilent Engineering and Technology Award, the UT Austin MCD Fellowship, and the 2013 UT Austin Wireless Networking and Communications Group leadership award. He currently serves as an Editor or Senior Editor for three IEEE journals.
Vishnu Vardhan Chetlur received the B. E. (Hons.) degree in Electronics and Communications Engineering from the Birla Institute of Technology and Science (BITS) Pilani, India, in2013. After his graduation, he worked as a design engineer at Redpine Signals Inc. for two years. He is currently a Ph.D. student at Virginia Tech, where his research interests include wireless communication, stochastic geometry, vehicular networks, and smart cities. He graduated top of his class in the Department of Electrical Engineering at BITS and was awarded the Silver medal for being ranked second in the whole institute. He was also a recipient of the Pratt Scholarship at Virginia Tech and BITS merit scholarship for his excellence in academics. He has held internship positions at Philips Research India in Bangalore, India, Qualcomm Technologies Inc.in San Diego, CA, and Nokia Bell Labs in Murray Hill, NJ.