30 citations · 57 across the 5 of their papers we have counts for
5 papers
Learning to Estimate: A Real-Time Online Learning Framework for MIMO-OFDM Channel Estimation
Lianjun Li, Sai Sree Rayala, Jiarui Xu +2
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 onli…
Detect to Learn: Structure Learning with Attention and Decision Feedback for MIMO-OFDM Receive Processing
Jiarui Xu, Lianjun Li, Lizhong Zheng +1
The limited over-the-air (OTA) pilot symbols in multiple-input-multiple-output orthogonal-frequency-division-multiplexing (MIMO-OFDM) systems presents a major challenge for detecti…
RC-Struct: A Structure-based Neural Network Approach for MIMO-OFDM Detection
Jiarui Xu, Zhou Zhou, Lianjun Li +2
In this paper, we introduce a structure-based neural network architecture, namely RC-Struct, for MIMO-OFDM symbol detection. The RC-Struct exploits the temporal structure of the MI…
Haptic-enabled Mixed Reality System for Mixed-initiative Remote Robot Control
Yuan Tian, Lianjun Li, Andrea Fumagalli +2
Robots assist in many areas that are considered unsafe for humans to operate. For instance, in handling pandemic diseases such as the recent Covid-19 outbreak and other outbreaks l…
Federated Learning in Mobile Edge Computing: An Edge-Learning Perspective for Beyond 5G
Shashank Jere, Qiang Fan, Bodong Shang +2
Owing to the large volume of sensed data from the enormous number of IoT devices in operation today, centralized machine learning algorithms operating on such data incur an unbeara…