Full Duplex HetNet FBMC relay networks Channel Estimation Interference Cancellation interference channel capacity MIMO CLI synchronization interference suppression in-band full-duplex system D-TDD 5G Multiple Antennas inter user interference OFDM mode selection WVAN channel estimation error UFMC 5G mobile communication timing misalignment ultra-dense small cell network GFDM reinforcement learning multi-access edge computing health care RSRP weighting - Computation offloading —Device-to-device (D2D) antenna arrays power uncertainty resource block management frame structure QAM Poisson arrival Short burst transmission mMTC User association Traffic Capacity OCBT Waveforms Time-division duplex self interference cancellation body area networks cellular radio quality of service amplify and forward communication Cognitive radio telecommunication traffic intercarrier interference Zigbee indoor positioning intersymbol interference spectrum sharing Cell-free Uplink SCMA system Number of training blocks Reliability Communication range Mode 3 resource allocation P-NOMA partial overlap Vehicular communication resource selection maximum likelihood method V2X user fairness cross-link interference Dynamic TDD LTE-TDD Metaheuristics QR Factorization Multi-user Receiver FS-NOMA non-orthogonal multiple access C-V2V OTDOA mMIMO User grouping packet delay estimated position updating Resource sharing Rat-dependent positioning NR positioning estimated position overlapping non-orthogonal multiple access (NOMA) overloading Power allocation Location-based distributed mode DQN spectrum partitioning massive connectivity and 5G networks. dynamic HetNet 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