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The book Wireless Communication is a comprehensive textbook designed for undergraduate and graduate students in engineering, computer science, and related disciplines. It also serves as a valuable reference for researchers and professionals in the field of wireless communication.
Salient Features
Offers a systematic exploration, starting from foundational concepts and advancing to
cutting-edge topics like MIMO and machine learning.
Explores radio propagation, wireless channel characteristics, and phenomena like fading, shadowing, and path loss.
Discusses essential topics such as frequency reuse, channel planning, co-channel
interference, and handoff mechanisms to ensure seamless network connectivity.
Delivers in-depth discussions on modulation methods (e.g., OFDM, QAM) and multiple
access techniques (FDMA, TDMA, CDMA, SDMA), emphasizing their efficiency in modern wireless communication.
Highlights MIMO systems and delves into the role of machine learning for intelligent network management and automation in wireless systems.
Each chapter includes plenty of examples, and review questions, enabling learners to
connect theoretical knowledge with real-world applications.
The book Wireless Communication is a comprehensive textbook designed for undergraduate and graduate students in engineering, computer science, and related disciplines. It also serves as a valuable reference for researchers and professionals in the field of wireless communication.
Salient Features
Offers a systematic exploration, starting from foundational concepts and advancing to
cutting-edge topics like MIMO and machine learning.
Explores radio propagation, wireless channel characteristics, and phenomena like fading, shadowing, and path loss.
Discusses essential topics such as frequency reuse, channel planning, co-channel
interference, and handoff mechanisms to ensure seamless network connectivity.
Delivers in-depth discussions on modulation methods (e.g., OFDM, QAM) and multiple
access techniques (FDMA, TDMA, CDMA, SDMA), emphasizing their efficiency in modern wireless communication.
Highlights MIMO systems and delves into the role of machine learning for intelligent network management and automation in wireless systems.
Each chapter includes plenty of examples, and review questions, enabling learners to
connect theoretical knowledge with real-world applications.
Dr. K. Gunaseelan, a Professor at the College of Engineering, Guindy, Anna University, Chennai, has over 19 years of teaching experience and has published 30+ research papers. He has led projects funded by DST and UGC and is currently a Principal Investigator for a SERB-funded project. He has also served as Deputy Coordinator for major UGC- and DST-funded initiatives. His research focuses on digital signal processing, wireless communication, information security, and machine learning. He is as a Life Member of IETE and CSI.