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Full-duplex wireless communications systems : self-interference cancellation / Tho Le-Ngoc, Ahmed Masmoudi.

By: Le, Ngoc Tho,, (1954-), autor
Contributor(s): Masmoudi, Ahmed,, autor
Material type: materialTypeLabelE-bookSeries: (Wireless networks).Publisher: Cham : SpringerCopyright date: 2017Description: 1 recurso en línea.ISBN: 3319576909; 9783319576909.Subject: Sistemas de comunicación inalámbricosOnline resources: Acceso a este recurso digital (usuarios Universidad Europea de Madrid)Digital Resources
Contents:
1. Introduction -- 2 Self-Interference Cancellation in Full-Duplex Systems -- 3 Limiting Factors in Self-Interference Cancellation -- 4 Self-Interference Channel Estimation and Cancellation Using Compressed-Sensing and Subspace -- 5 Widely-Linear Subspace-Based Self-Interference Cancellation -- 6 Maximum Likelihood-Based Self-Interference Cancellation -- 7 Active Signal Injection for Self-Interference Cancellation -- 8 Conclusions and Future Work -- References.
Abstract: This book introduces the development of self-interference (SI)-cancellation techniques for full-duplex wireless communication systems. The authors rely on estimation theory and signal processing to develop SI-cancellation algorithms by generating an estimate of the received SI and subtracting it from the received signal. The authors also cover two new SI-cancellation methods using the new concept of active signal injection (ASI) for full-duplex MIMO-OFDM systems. The ASI approach adds an appropriate cancelling signal to each transmitted signal such that the combined signals from transmit antennas attenuate the SI at the receive antennas. The authors illustrate that the SI-pre-cancelling signal does not affect the data-bearing signal. This book is for researchers and professionals working in wireless communications and engineers willing to understand the challenges of deploying full-duplex and practical solutions to implement a full-duplex system. Advanced-level students in electrical engineering and computer science studying wireless communications will also find this book useful as a secondary textbook.
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Holdings
Item type Current library Collection Call number Status Date due Barcode Item holds
LIBRO-E NO PRÉSTAMO LIBRO-E NO PRÉSTAMO Madrid Digital Acceso Electrónico (UEM) Ciencias e Ingeniería TK5103.2 2017 EB (Browse shelf(Opens below)) Acceso electrónico eBook.20023930
Total holds: 0

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Incluye referencias bibliográficas

1. Introduction -- 2 Self-Interference Cancellation in Full-Duplex Systems -- 3 Limiting Factors in Self-Interference Cancellation -- 4 Self-Interference Channel Estimation and Cancellation Using Compressed-Sensing and Subspace -- 5 Widely-Linear Subspace-Based Self-Interference Cancellation -- 6 Maximum Likelihood-Based Self-Interference Cancellation -- 7 Active Signal Injection for Self-Interference Cancellation -- 8 Conclusions and Future Work -- References.

This book introduces the development of self-interference (SI)-cancellation techniques for full-duplex wireless communication systems. The authors rely on estimation theory and signal processing to develop SI-cancellation algorithms by generating an estimate of the received SI and subtracting it from the received signal. The authors also cover two new SI-cancellation methods using the new concept of active signal injection (ASI) for full-duplex MIMO-OFDM systems. The ASI approach adds an appropriate cancelling signal to each transmitted signal such that the combined signals from transmit antennas attenuate the SI at the receive antennas. The authors illustrate that the SI-pre-cancelling signal does not affect the data-bearing signal. This book is for researchers and professionals working in wireless communications and engineers willing to understand the challenges of deploying full-duplex and practical solutions to implement a full-duplex system. Advanced-level students in electrical engineering and computer science studying wireless communications will also find this book useful as a secondary textbook.

Online resource; title from PDF title page (EBSCO, viewed July 31, 2017).

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