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Geoffrey Ye Li

5 accepted papers

2019

Deep CNN for Wideband Mmwave Massive Mimo Channel Estimation Using Frequency Correlation

ICASSP 2019accepted

For millimeter wave (mmWave) systems with large-scale arrays, hybrid processing structure is usually used at both transmitters and receivers to reduce the complexity and cost, which poses a very challenging issue in channel estimation, especially at the low transmit signal-to-noise ratio regime. In…

Cited by 0SourceScholar
2019

Deep Learning Based on Orthogonal Approximate Message Passing for CP-Free OFDM

ICASSP 2019accepted

Channel estimation and signal detection are very challenging for an orthogonal frequency division multiplexing (OFDM) system without cyclic prefix (CP). In this article, deep learning based on orthogonal approximate message passing (DL-OAMP) is used to address these problems. The DL-OAMP receiver in…

Cited by 0SourceScholar
2016

Low-complexity recursive convolutional precoding for OFDM-based large-scale antenna systems

ICASSP 2016accepted

Large-scale antenna (LSA) has gained a lot of attention recently since it can significantly improve the performance of wireless systems. Similar to multiple-input multiple-output (MIMO) orthogonal frequency division multiplexing (OFDM) or MIMO-OFDM, LSA can be also combined with OFDM to deal with fr…

Cited by 0SourceScholar