67 citations · 70 across the 3 of their papers we have counts for
3 papers
eess.SP2018★ 67 cited
AI-Aided Online Adaptive OFDM Receiver: Design and Experimental Results
Peiwen Jiang, Tianqi Wang, Bin Han +5
Orthogonal frequency division multiplexing (OFDM) has been widely applied in current communication systems. The artificial intelligence (AI)-aided OFDM receivers are currently brou…
eess.SP2018★ 2 cited
ComNet: Combination of Deep Learning and Expert Knowledge in OFDM Receivers
Xuanxuan Gao, Shi Jin, Chao-Kai Wen +1
In this article, we propose a model-driven deep learning (DL) approach that combines DL with the expert knowledge to replace the existing orthogonal frequency-division multiplexing…
eess.SP2018★ 1 cited
Implementation of Massive MIMO Uplink Receiver on RaPro Prototyping Platform
Xuanxuan Gao, Zhichao Huang, Xintong Lu +3
The updated physical layer standard of the fifth generation wireless communication suggests the necessity of a rapid prototyping platform. To this end, we develop RaPro, a multi-co…