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 : 2023-03 
Title : A New GNSS-based Channel Estimation Strategy for LEO Satellite Communication Systems 
Authors : Hyunwoo Lee, Jehyun Heo, and Daesik Hong 
Conference : IEEE VTC Spring 2023 
Abstract : The low earth orbit (LEO) satellite communication (SatCom) system can provide global communication services. However, LEO SatCom has a larger channel estimation overhead compared to the terrestrial network because of the higher number of equipped antennas and greater number of users being served simultaneously. In this paper, we propose a new global navigation satellite system (GNSS)-based channel estimation strategy that can reduce channel estimation overhead. The proposed strategy exploits the GNSS information that can be obtained in LEO SatCom. We also propose a new grouping algorithm using GNSS-based spatial information, followed by a channel estimation and spatial information updating scheme that utilizes the small and constantly changing angle of arrival (AOA) variation in LEO channels. Simulation results show that the proposed strategy has lower overhead than the conventional least squares (LS) method in the LEO environment. 
URL : https://ieeexplore.ieee.org/abstract/document/10199795 


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