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An Overview of Signal Processing Techniques for RIS/IRS-aided Wireless Systems
Cunhua Pan, Gui Zhou, Kangda Zhi +8
In the past as well as present wireless communication systems, the wireless propagation environment is regarded as an uncontrollable black box that impairs the received signal qual…
Dual-Functional Radar-Communication Waveform Design: A Symbol-Level Precoding Approach
Rang Liu, Ming Li, Qian Liu +1
Dual-functional radar-communication (DFRC) systems can simultaneously perform both radar and communication functionalities using the same hardware platform and spectrum resource. I…
A Generalizable Model-and-Data Driven Approach for Open-Set RFF Authentication
Renjie Xie, Wei Xu, Yanzhi Chen +4
Radio-frequency fingerprints~(RFFs) are promising solutions for realizing low-cost physical layer authentication. Machine learning-based methods have been proposed for RFF extracti…
Deep Learning for Estimation and Pilot Signal Design in Few-Bit Massive MIMO Systems
Ly V. Nguyen, Duy H. N. Nguyen, A. Lee Swindlehurst
Estimation in few-bit MIMO systems is challenging, since the received signals are nonlinearly distorted by the low-resolution ADCs. In this paper, we propose a deep learning framew…
Channel Estimation for RIS-Aided Multiuser Millimeter-Wave Systems
Gui Zhou, Cunhua Pan, Hong Ren +2
Channel estimation in the RIS-aided massive multiuser multiple-input single-output (MU-MISO) wireless communication systems is challenging due to the passive feature of RIS and the…
Sparse Linear Precoders for Mitigating Nonlinearities in Massive MIMO
Amine Mezghani, Daniel Plabst, Lee A. Swindlehurst +2
Dealing with nonlinear effects of the radio-frequency(RF) chain is a key issue in the realization of very large-scale multi-antenna (MIMO) systems. Achieving the remarkable gains p…