OFDM Relay Cognitive Radio Multiple Antennas Resource Allocation Full Duplex Spectrum Sensing Synchronization Spectrum Sharing Interference Cancellation Channel Estimation Feedback Stochastic Geometry Bi-directional Energy Harvesting Heterogeneous Networks FBMC HetNet Equalization relay networks Ultra Low Power TVWS MIMO interference SC-FDMA CDMA Duplex channel capacity interference suppression 5G Reliability C-V2V in-band full-duplex system OCBT CLI body area networks 5G mobile communication antenna arrays NR positioning health care Resource sharing Location-based LTE-TDD FS-NOMA Power allocation OTDOA hybrid control overhead estimated position overlapping resource block management amplify and forward communication power uncertainty CoMP quality of service cellular radio Rat-dependent positioning telecommunication traffic Handoff Femtocell inter user interference UFMC mode selection GFDM QAM Zigbee frame structure Vehicular communication Vehicle-to-vehicle communication non-orthogonal multiple access QR Factorization Spatial capacity LTE-based V2V Number of training blocks Communication range user fairness Mode 3 resource selection distributed mode maximum likelihood method Metaheuristics cross-link interference Dynamic TDD Uplink SCMA system V2X DQN estimated position updating —Device-to-device (D2D) spectrum partitioning dynamic HetNet indoor positioning D-TDD - Computation offloading multi-access edge computing P-NOMA partial overlap Subband filtering Multi-user Receiver reinforcement learning RSRP weighting smart factory
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