Research on the Key Technologies in Narrowband Interference and Impulsive Noise Mitigation and Cancellation

This book summarizes the authors' latest research on narrowband interference and impulsive noise mitigation and cancelation, including (i) mitigating the impacts of NBI on synchronization; (ii) improving time-frequency interleaving performance under NBI and IN; (iii) accurately recovering and eliminating NBI and IN. The complicated, random and intensive narrowband interference and impulsive noise are a serious bottleneck of the next-generation wireless communications and Internet of things. This book also proposes effective and novel frameworks and algorithms, which will significantly improve the capability of mitigating and eliminating NBI and IN in the next-generation broadband communications systems.
This book not only presents thorough theoretical models and algorithm design guidelines, but also provides adequate simulation and experimental engineering methods and results. The book is a valuable reference for those engaged in theoretical study, algorithm design and engineering practice in related fields, such as wireless communications, smart lighting, IoT and smart grid communications.

Nominated as an outstanding Ph.D. thesis by Tsinghua University Reports on important advances in the area of sparse signal processing and compressed sensing Provides novel and applicable frameworks and algorithms for interference and noise recovery and elimination Includes extensive experimental simulation results and performance analysis validating the techniques Presents key technologies adopted by two important communications standards

Autorentext

Sicong Liu received his B.S.E. in electronic engineering from Tsinghua University, Beijing, China in 2012, and the PhD degree, supervised by Prof. Jian Song, in electronic engineering in Tsinghua University in 2017 with the highest honor. From 2010 to 2011, he was a visiting scholar in Dept. Electronic and Communications Engineering, City University of Hong Kong. He served as a senior research engineer in Research Dept. Network Technologies, Huawei Technologies Co. Ltd, from 2017 to 2018. Currently, he is an assistant professor in School of Informatics, Xiamen University, Xiamen, China.

Sicong Liu has published over 40 journal and conference research papers. He owns 8 Chinese invention patents. He is one of the core members that draft the Broadband Power Line Communications Standard in China. He has won the Second Prize in the Natural Science Award of Chinese Institute of Electronics, the National Graduate Fellowship Award twice in 2014 and 2016, the Outstanding Doctoral Dissertation Award of Tsinghua University, the Outstanding PhD Graduate Award of Tsinghua University, and the Outstanding Graduate Award of Beijing City. He is a reviewer of IEEE Transactions on Signal Processing, IEEE Transactions on Communications, IEEE Transactions on Broadcasting, IEEE Transactions on Vehicular Technology and IEEE Transactions on Wireless Communications. He is on the Editorial Board of the Future Internet Journal Special Issue on Massive MIMO Communication and Networking Systems. He served as a Technical Program Committee Member of the served as the publication chair in IEEE SmartGridComm 2019, and Technical Program Committee member in IEEE ICC and IEEE Globecom. He is a member of IEEE.

His research interests mainly include sparse signal processing, interference suppression, wireless communications, physical-layer security, machine learning, and emerging 5G technologies.

Klappentext

This book summarizes the authors latest research on narrowband interference and impulsive noise mitigation and cancelation, including (i) mitigating the impacts of NBI on synchronization; (ii) improving time-frequency interleaving performance under NBI and IN; (iii) accurately recovering and eliminating NBI and IN. The complicated, random and intensive narrowband interference and impulsive noise are a serious bottleneck of the next-generation wireless communications and Internet of things. This book also proposes effective and novel frameworks and algorithms, which will significantly improve the capability of mitigating and eliminating NBI and IN in the next-generation broadband communications systems. This book not only presents thorough theoretical models and algorithm design guidelines, but also provides adequate simulation and experimental engineering methods and results. The book is a valuable reference for those engaged in theoretical study, algorithm design and engineering practice in related fields, such as wireless communications, smart lighting, IoT and smart grid communications.

Inhalt
Introduction.- System Model and Basic Knowledge.- Synchronization Frame Design against Narrowband Interference.- Optimal Time-Frequency Interleaving under Narrowband Interference and Impulsive Noise.- Narrowband Interference Recovery and Cancellation Based on Sparse Recovery Theory.- Impulsive Noise Recovery and Cancellation Based on Sparse Recovery Theory.- Conclusions and Future Perspectives.- References.- Appendix