OFDM Relay Cognitive Radio Multiple Antennas Resource Allocation Full Duplex Spectrum Sensing Synchronization Spectrum Sharing Interference Cancellation Channel Estimation Feedback Heterogeneous Networks Bi-directional Energy Harvesting Stochastic Geometry HetNet relay networks FBMC Equalization channel capacity TVWS CDMA interference in-band full-duplex system Duplex MIMO Ultra Low Power C-V2V 5G Reliability SC-FDMA interference suppression D-TDD CLI indoor positioning reinforcement learning RSRP weighting - Computation offloading smart factory Cell-free multi-access edge computing estimated position overlapping —Device-to-device (D2D) estimated position updating mMIMO control overhead hybrid NR positioning Femtocell Rat-dependent positioning frame structure Zigbee body area networks channel estimation error Handoff CoMP User grouping power uncertainty ultra-dense small cell network mode selection antenna arrays 5G mobile communication UFMC resource block management inter user interference WVAN health care partial overlap GFDM Dynamic TDD Multi-user Receiver Number of training blocks Uplink SCMA system V2X Vehicular communication cross-link interference LTE-TDD FS-NOMA Location-based user fairness Mode 3 QR Factorization Metaheuristics P-NOMA non-orthogonal multiple access dynamic HetNet spectrum partitioning and 5G networks. massive connectivity non-orthogonal multiple access (NOMA) overloading DQN OTDOA distributed mode Communication range resource selection maximum likelihood method Resource sharing Power allocation packet delay
Status : Presented 
Date : 1997-06 
Title : A decision feedback recurrent neural equalizer for digital communication 
Authors : Sunghwan Ong, Sooyong Choi, Cheolwoo You and Daesik Hong 
Conference : International Conference on Neural Networks 
Abstract : In this paper, we introduce an adaptive Decision Feedback Recurrent Neural Equalizer (DFRNE) whose small size and high performance makes it suitable for high-speed channel equalization. By evaluating its performance through computer simulations for various channels, the DFRNE has comparable performance with traditional equalizers when the channel interferences are mild. And it outperforms them when the channel’s transfer function has spectral nulls or when severe nonlinear distortion is present. In addition, the DFRiVE, being essentially an IIR filter, is shown to outperform multi-layer perceptron equalizers in linear and non-linear channel equalization cases. 
URL : http://ieeexplore.ieee.org/xpl/articleDe...ber=611653 
  Sunghwan Ong; Sooyong Choi; Cheolwoo You; Daesik Hong; , "A decision feedback recurrent neural equalizer for digital communication," Neural Networks,1997., International Conference on , vol.1, no., pp.142-147 vol.1, 9-12 Jun 1997
doi: 10.1109/ICNN.1997.611653
URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=611653&isnumber=13361
List of Articles
No.
Status Datesort
» [ICNN] Sunghwan Ong, Sooyong Choi, Cheolwoo You and Daesik Hong, "A decision feedback recurrent neural equalizer for digital communication", ICNN, June 1997 Presented  1997-06 
2 [ICNN] Cheolwoo You and Daesik Hong, "Adaptive Equalization Using the Complex Backpropagation Algorithm", ICNN, June 1996 Presented  1996-06 
1 [ICNN] Cheolwoo You and Daesik Hong, "Neural Convolutional Decoders in the Satellite Channel", ICNN, Dec. 1995 Presented  1995-12