6 papers
MCRB-based Performance Analysis of 6G Localization under Hardware Impairments
Hui Chen, Sina Rezaei Aghdam, Musa Furkan Keskin +6
Location information is expected to be the key to meeting the needs of communication and context-aware services in 6G systems. User localization is achieved based on delay and/or a…
Frequency-domain digital predistortion for Massive MU-MIMO-OFDM Downlink
Yibo Wu, Ulf Gustavsson, Mikko Valkama +2
Digital predistortion (DPD) is a method commonly used to compensate for the nonlinear effects of power amplifiers (PAs). However, the computational complexity of most DPD algorithm…
End-to-End Learning for Integrated Sensing and Communication
José Miguel Mateos-Ramos, Jinxiang Song, Yibo Wu +4
Integrated sensing and communication (ISAC) aims to unify radar and communication systems through a combination of joint hardware, joint waveforms, joint signal design, and joint s…
Low Complexity Joint Impairment Mitigation of I/Q Modulator and PA Using Neural Networks
Yibo Wu, Ulf Gustavsson, Alexandre Graell i Amat +1
Neural networks (NNs) for multiple hardware impairments mitigation of a realistic direct conversion transmitter are impractical due to high computational complexity. We propose two…
Residual Neural Networks for Digital Predistortion
Yibo Wu, Ulf Gustavsson, Alexandre Graell i Amat +1
Tracking the nonlinear behavior of an RF power amplifier (PA) is challenging. To tackle this problem, we build a connection between residual learning and the PA nonlinearity, and p…
Cooperative Localization with Angular Measurements and Posterior Linearization
Yibo Wu, Bile Peng, Henk Wymeersch +4
The application of cooperative localization in vehicular networks is attractive to improve accuracy and coverage. Conventional distance measurements between vehicles are limited by…