no code implementations • 22 May 2023 • Lianjun Li, Sai Sree Rayala, Jiarui Xu, Lizhong Zheng, Lingjia Liu
In this paper we introduce StructNet-CE, a novel real-time online learning framework for MIMO-OFDM channel estimation, which only utilizes over-the-air (OTA) pilot symbols for online training and converges within one OFDM subframe.
no code implementations • 17 Aug 2022 • Jiarui Xu, Lianjun Li, Lizhong Zheng, Lingjia Liu
The DF mechanism further enhances detection performance by dynamically tracking the channel changes through detected data symbols.
no code implementations • 3 Oct 2021 • Jiarui Xu, Zhou Zhou, Lianjun Li, Lizhong Zheng, Lingjia Liu
The binary classifier enables the efficient utilization of the precious online training symbols and allows an easy extension to high-order modulations without a substantial increase in complexity.
no code implementations • 15 Jul 2020 • Shashank Jere, Qiang Fan, Bodong Shang, Lianjun Li, Lingjia Liu
Thus, in this paper, we design a novel edge computing-assisted federated learning framework, in which the communication constraints between IoT devices and edge servers and the effect of various IoT devices on the training accuracy are taken into account.