640 citations · 5.3k across the 160 of their papers we have counts for
7 papers · 2 filters
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…
Massive MIMO with a Generalized Channel Model: Fundamental Aspects
Michail Matthaiou, Hien Quoc Ngo, Peter J. Smith +2
Massive multiple-input multiple-output (MIMO) is becoming a mature technology, and has been approved for standardization in the 5G ecosystem. Although there is a large body of pape…
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…
AI for 5G: Research Directions and Paradigms
Xiaohu You, Chuan Zhang, Xiaosi Tan +2
The 5th wireless communication (5G) techniques not only fulfil the requirement of times increase of internet traffic in the next decade, but also offer the underlying techn…
Efficient Channel Estimator with Angle-Division Multiple Access
Xiaozhen Liu, Jin Sha, Hongxiang Xie +5
Massive multiple-input multiple-output (M-MIMO) is an enabling technology of 5G wireless communication. The performance of an M-MIMO system is highly dependent on the speed and acc…
Time Varying Channel Tracking with Spatial and Temporal BEM for Massive MIMO Systems
Jianwei Zhao, Hongxiang Xie, Feifei Gao +3
In this paper, we propose a channel tracking method for massive multi-input and multi-output systems under both time-varying and spatial-varying circumstance. Exploiting the charac…