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OQAM/FBMC for Future Wireless Communications (eBook)

Principles, Technologies and Applications
Artikelnummer: 978-0-12-813558-7
Einband: Adobe Digital Editions
Verfügbarkeit: Download, sofort verfügbar (Link per E-Mail)
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OQAM/FBMC for Future Wireless Communications: Principles, Technologies and Applications¿introduces the concepts and key technologies of OQAM/FBMC, which has been regarded as the potential physical layer technique in future wireless communication systems. It comprises 10 chapters that provide an overview of wireless communications, introduce wireless channels, single carrier and multicarrier modulations, and three types of FBMC systems, also comparing OQAM/FBMC with OFDM. Other chapters introduce the OQAM/FBMC communication system model, the FFT implementation, CP insertion, PSD analysis, prototype filter optimization, joint PAPR reduction and sidelobe suppression, overhead reduction with virtual symbols, time and frequency domain channel estimations, block-wise SFBC for MIMO OQAM/FBMC, and much more. - Provides a comprehensive guide to most major OQAM/FBMC techniques - Includes a detailed comparison between OFDM and OQAM/FBMC - Provides readers with a complete introduction to OQAM/FBMC, from the transmitter to the receiver - Gives readers an up-to-date view of future mobile communications and how QAM/FBMC supports them

OQAM/FBMC for Future Wireless Communications: Principles, Technologies and Applications¿introduces the concepts and key technologies of OQAM/FBMC, which has been regarded as the potential physical layer technique in future wireless communication systems. It comprises 10 chapters that provide an overview of wireless communications, introduce wireless channels, single carrier and multicarrier modulations, and three types of FBMC systems, also comparing OQAM/FBMC with OFDM. Other chapters introduce the OQAM/FBMC communication system model, the FFT implementation, CP insertion, PSD analysis, prototype filter optimization, joint PAPR reduction and sidelobe suppression, overhead reduction with virtual symbols, time and frequency domain channel estimations, block-wise SFBC for MIMO OQAM/FBMC, and much more. - Provides a comprehensive guide to most major OQAM/FBMC techniques - Includes a detailed comparison between OFDM and OQAM/FBMC - Provides readers with a complete introduction to OQAM/FBMC, from the transmitter to the receiver - Gives readers an up-to-date view of future mobile communications and how QAM/FBMC supports them

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VerlagElsevier Science & Techn.
EinbandAdobe Digital Editions
Erscheinungsjahr2017
Seitenangabe268 S.
AusgabekennzeichenEnglisch
PlattformEPUB
AutorJiang, Tao / Chen, Da / Ni, Chunxing / Qu, Daiming

Über den Autor Tao Jiang

Dr. Tao Jiang received the B.S. degree and Ph.D. degree from School of Aerospace Engineering, Beijing Institute of Technology, Beijing, China, in 2014 and 2020, respectively. He is currently an associate professor in the Institute of Robotics and Intelligent System, Chongqing University, China. His current interests include nonlinear adaptive control, intelligent robust control of ground/aerial robots, and autonomous navigation in unstructured environments. Dr. Zhi Zheng received the B.S. degree in electronic science and technology from Yuncheng University, China, in 2016, and the M.E. degree in control science and engineering from Harbin Engineering University, China, in 2020. He is currently pursuing the Ph.D. degree with the School of Automation, Chongqing University, Chongqing, China. His research interests include the robust and formation control of intelligent robot systems. Lan Yao received the B.S. degree in automation from Panzhihua University, China, in 2019, and the M.Eng. degree in control science and engineering from Chongqing University, China, in 2024. Her research interests include robust control of mobile robots and multi-robot control. Jianchuan Ye received the B.S. and Ph.D. degrees in fight vehicle design from Beijing Institute of Technology, Beijing, China, in 2015 and 2021. He is currently an associate researcher with Beijing Institute of Technology. His main research interests include fight vehicle design, modeling, and control. Jianxiang Wang received the B.S. degree in electrical engineering and automation from Shandong Jianzhu University, China, in 2024. He is currently pursuing the M.S. degree at the School of Automation, Chongqing University, Chongqing, China. His research interests include nonlinear control, safety control, and distributed cooperative control of multi-agent systems. Dr. Jingxiang Feng graduated with the B.S. degree in automation from Yanshan University in 2015. In 2018, he received the M.E. degree in naval architecture and ocean engineering from Northwestern Polytechnical University. Since 2018, he has been working at the Jiangsu Automation Research Institute, focusing on marine equipment research. His main research area is command and control of underwater unmanned swarms.

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