OFDM Relay Cognitive Radio Multiple Antennas Resource Allocation Full Duplex Spectrum Sensing Synchronization Spectrum Sharing Channel Estimation Interference Cancellation Stochastic Geometry Energy Harvesting Feedback Bi-directional Heterogeneous Networks Equalization HetNet relay networks FBMC Ultra Low Power SC-FDMA TVWS Duplex Reliability CDMA MIMO interference channel capacity in-band full-duplex system interference suppression 5G C-V2V reinforcement learning RSRP weighting non-orthogonal multiple access (NOMA) health care 5G mobile communication indoor positioning Vehicle-to-vehicle communication estimated position overlapping Resource sharing Power allocation multi-access edge computing control overhead hybrid Rat-dependent positioning NR positioning smart factory UFMC Handoff Femtocell QAM CoMP power uncertainty - Computation offloading amplify and forward communication Zigbee body area networks resource block management frame structure WVAN inter user interference GFDM mode selection antenna arrays partial overlap LTE-based V2V resource selection maximum likelihood method Communication range Number of training blocks Vehicular communication Uplink SCMA system Dynamic TDD QR Factorization Metaheuristics FS-NOMA cross-link interference user fairness Multi-user Receiver Mode 3 V2X P-NOMA dynamic HetNet spectrum partitioning DQN D-TDD CLI massive connectivity and 5G networks. OTDOA estimated position updating distributed mode non-orthogonal multiple access Spatial capacity LTE-TDD —Device-to-device (D2D) Location-based overloading
Status : Presented 
Date : 2020-10 
Title : Accurate Positioning Using Beamforming 
Authors : Hyunmin Seo, Hyunsoo Kim, Taehyung Kim, and Daesik Hong 
Conference : IEEE CCNC 
Abstract : Precise positioning in indoor environments has recently begun to take on greater significance. The characteristics of new radio (NR), such as high frequency-based small cells and broader system bandwidth, can improve the accuracy of observed time difference of arrival (OTDOA) positioning. However, OTDOA positioning still cannot distinguish the estimated positions of adjacent user equipments (UEs) due to the resolution limitation caused by the sampling period. In this paper, we introduce a method for updating the estimated position of OTDOA using accurate beamforming. Simulation results show the proposed method can improve the ability to distinguish the estimated position of adjacent UEs as well as OTDOA positioning accuracy. 
URL : http://. 

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» [Other Conf. Papers] Hyunmin Seo, Hyunsoo Kim, Taehyung Kim, and Daesik Hong, "Accurate Positioning Using Beamforming" IEEE CCNC 2021 Presented  2020-10