no code implementations • 19 Jul 2023 • Chaojin Qing, Shuhai Tang, Na Yang, Chuangui Rao, Jiafan Wang
Then, to guarantee the correctness of labeling, we exploit the priori information of line-of-sight (LOS) to form a LOS-aided labeling.
no code implementations • 1 Jul 2023 • Chaojin Qing, Na Yang, Shuhai Tang, Chuangui Rao, Jiafan Wang, Hui Lin
However, multi-path uncertainty corrupts the TS correctness, making OFDM systems suffer from a severe inter-symbol-interference (ISI).
no code implementations • 30 Jun 2023 • Mintao Zhang, Shuhai Tang, Chaojin Qing, Na Yang, Xi Cai, Jiafan Wang
Due to the implementation bottleneck of training data collection in realistic wireless communications systems, supervised learning-based timing synchronization (TS) is challenged by the incompleteness of training data.
no code implementations • 24 Feb 2023 • Chaojin Qing, Chuangui Rao, Shuhai Tang, Na Yang, Jiafan Wang
Due to the interdependency of frame synchronization (FS) and channel estimation (CE), joint FS and CE (JFSCE) schemes are proposed to enhance their functionalities and therefore boost the overall performance of wireless communication systems.
no code implementations • 21 Feb 2023 • Chaojin Qing, Qing Ye, Wenhui Liu, Zilong Wanga, Jiafan Wang, Jinliang Chen
Specifically, for the G2U CSI in NLoS, a CSI recovery network (CSI-RecNet) and superimposed interference cancellation are developed to recover the G2U CSI and U2G data.
no code implementations • 7 Dec 2022 • Chaojin Qing, Li Wang, Lei Dong, Guowei Ling, Jiafan Wang
Specifically, at the user equipment (UE), the pilot for CE is superimposed on the uplink user data to improve the spectral efficiency and energy consumption for IoT systems, and two lightweight networks at the base station (BS) alleviate the computational complexity and processing delay for the CE and symbol detection (SD).
no code implementations • 6 Dec 2022 • Chaojin Qing, Na Yang, Shuhai Tang, Chuangui Rao, Jiafan Wang, Jinliang Chen
Due to the narrowed search region of TS, the CNN-based TS effectively locates the accurate TS point and inspires us to construct a lightweight network in terms of computational complexity and online running time.
no code implementations • 14 Sep 2022 • Chaojin Qing, Shuhai Tang, Xi Cai, Jiafan Wang
Numerical results reflect that the proposed 1-D CNN-based TS method effectively improves the TS accuracy, reduces the computational complexity and processing delay, and possesses a good generalization performance against the CIR uncertainty.
1 code implementation • 28 May 2022 • Chaojin Qing, Lei Dong, Li Wang, Guowei Ling, Jiafan Wang
To this end, a novel CE network for the DNSP scheme in OFDM systems is structured, which improves its estimation accuracy and alleviates the model mismatch.
no code implementations • 13 Mar 2022 • Chaojin Qing, Qing Ye, Bin Cai, Wenhui Liu, Jiafan Wang
In frequency-division duplexing (FDD) massive multiple-input multiple-output (MIMO) systems, 1-bit compressed sensing (CS)-based superimposed channel state information (CSI) feedback has shown many advantages, while still faces many challenges, such as low accuracy of the downlink CSI recovery and large processing delays.
no code implementations • 20 Jan 2022 • Chaojin Qing, Qing Ye, Wenhui Liu, Jiafan Wang
Due to the discarding of downlink channel state information (CSI) amplitude and the employing of iteration reconstruction algorithms, 1-bit compressed sensing (CS)-based superimposed CSI feedback is challenged by low recovery accuracy and large processing delay.
no code implementations • 26 Oct 2021 • Chaojin Qing, Li Wang, Lei Dong, Jiafan Wang
Reconfigurable intelligent surface (RIS)-assisted orthogonal frequency division multiplexing (OFDM) systems have aroused extensive research interests due to the controllable communication environment and the performance of combating multi-path interference.
no code implementations • 26 Oct 2021 • Chaojin Qing, Lei Dong, Li Wang, Jiafan Wang, Chuan Huang
Data-dependent superimposed training (DDST) scheme has shown the potential to achieve high bandwidth efficiency, while encounters symbol misidentification caused by hardware imperfection.
no code implementations • 28 Jul 2021 • Chaojin Qing, Shuhai Tang, Chuangui Rao, Qing Ye, Jiafan Wang, Chuan Huang
Due to the nonlinear distortion in Orthogonal frequency division multiplexing (OFDM) systems, the timing synchronization (TS) performance is inevitably degraded at the receiver.
no code implementations • 27 Mar 2021 • Chaojin Qing, Wang Yu, Shuhai Tang, Chuangui Rao, Jiafan Wang
To avoid the occupation of bandwidth resources and overcome the difficulty of nonlinear distortion, an extreme learning machine (ELM)-based network is introduced into the superimposed training-based FS with nonlinear distortion.
no code implementations • 14 Feb 2020 • Chaojin Qing, Wang Yu, Bin Cai, Jiafan Wang, Chuan Huang
In burst-mode communication systems, the quality of frame synchronization (FS) at receivers significantly impacts the overall system performance.
no code implementations • 27 Jul 2019 • Chaojin Qing, Bin Cai, Qingyao Yang, Jiafan Wang, Chuan Huang
Massive multiple-input multiple-output (MIMO) with frequency division duplex (FDD) mode is a promising approach to increasing system capacity and link robustness for the fifth generation (5G) wireless cellular systems.