Search Results for author: Xinwei Qu

Found 3 papers, 0 papers with code

Untrained Neural Network based Bayesian Detector for OTFS Modulation Systems

no code implementations8 May 2023 Hao Chang, Alva Kosasih, Wibowo Hardjawana, Xinwei Qu, Branka Vucetic

In this paper, we propose an untrained DNN based on the deep image prior (DIP) and decoder architecture, referred to as D-DIP that replaces the MMSE denoiser in the iterative detector.

Bayesian Neural Network Detector for an Orthogonal Time Frequency Space Modulation

no code implementations27 Jun 2022 Alva Kosasih, Xinwei Qu, Wibowo Hardjawana, Chentao Yue, Branka Vucetic

The orthogonal time-frequency space (OTFS) modulation is proposed for beyond 5G wireless systems to deal with high mobility communications.

Bayesian Inference

Bayesian-based Symbol Detector for Orthogonal Time Frequency Space Modulation Systems

no code implementations27 Oct 2021 Xinwei Qu, Alva Kosasih, Wibowo Hardjawana, Vincent Onasis, Branka Vucetic

Our simulation results show that in contrast to the state-of-the-art OTFS detectors, the proposed detector is able to achieve a BER of less than $10^{-5}$, when SNR is over $14$ dB, under high ICI environments.

Cannot find the paper you are looking for? You can Submit a new open access paper.