Spectrum-Aware Mobile Computing, 1st ed. 2019 Convergence of Cloud Computing and Cognitive Networking Signals and Communication Technology Series

This book presents solutions to the problems arising in two trends in mobile computing and their intersection: increased mobile traffic driven mainly by sophisticated smart phone applications; and the issue of user demand for lighter phones, which cause more battery power constrained handhelds to offload computations to resource intensive clouds (the second trend exacerbating the bandwidth crunch often experienced over wireless networks). The authors posit a new solution called spectrum aware cognitive mobile computing, which uses dynamic spectrum access and management concepts from wireless networking to offer overall optimized computation offloading and scheduling solutions that achieve optimal trade-offs between the mobile device and wireless resources. They show how in order to allow these competing goals to meet in the middle, and to meet the promise of 5G mobile computing, it is essential to consider mobile offloading holistically, from end to end and use the power of multi-radio access technologies that have been recently developed. Technologies covered in this book have applications to mobile computing, edge computing, fog computing, vehicular communications, mobile healthcare, mobile application developments such as augmented reality, and virtual reality.

S. Eman Mahmoodi is currently a senior inventive scientist at theResearch and Innovation Department of Interactions Corporation in New York, NY. His research interests include Artificial Intelligence and Machine Learning for speech and language technology specifically in multi-modal dialog systems; and Optimization of Mobile Cloud Computing Systems with the applications in cognitive networks, Mobile Edge Computing (MEC) and Internet of Things (IoT). Mahmoodi received his PhD degree at theDepartment of Electrical and Computer Engineering, Stevens Institute of Technology in 2017. He is the recipient of the inventor awardfrom the New Jersey Inventors Hall of Fame  (NJIHoF) in 2016. He was also awarded a 5-year Innovation and Entrepreneurship DoctoralFellowship from the Stevens and he received the outstanding doctoral dissertation award from the ECE Department at 2017.

 K.P. (Suba) Subbalakshmi is the Founding Director of the Stevens Institute for Artificial Intelligence and a Professor in the Department of Electrical and Computer Engineering at Stevens Institute of Technology. She is also the Co-founder of two technology start-up companies.

 Her research interests are Artificial Intelligence and Machine Learning for mental healthcare, forensics and networking; Cognitive radio networks and security – algorithms and design; attacks, counter measures and systems level impact; applications to smart and connected communities; Cognitive mobile cloud computing – spectrum and radio resource aware optimal mobile computing; Internet media security — text forensics, image/video steganography and steganalysis; Social media and Internet data mining and analytics. Past research interests include: wireless security, joint source-channel coding and image/video compression.

 Suba was named a Jefferson Science Fellow in 2016 by the National Academy of Sciences, Engineering and Medicine. As a JSF, she served as

Gives readers valuable insights into the future of mobile computing and communication

Touches on wireless technologies such as 5G, mobile edge computing (MEC), mobile cloud services, and cognition-based networking

Provides examples throughout the book to provide insight into real world scenarios