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 : 2022-09 
Title : A New Scheduling Algorithm for Time-varying MIMO Channels with a Channel Aging Metric 
Authors : Minchul Hong, Incheol Hwang, Jehyun Heo, and Daesik Hong 
Conference : IEEE Consumer Communications & Networking Conference (CCNC) 2023 
Abstract : In a wireless communication system, channel aging produces a mismatch between the estimated channel and the channel state at the time of data transmission. This mismatch enhances the interference to users and degrades system capacity. In this paper, we first define a channel aging metric (CAM) to reflect the influence of channel aging on user scheduling. We then propose a CAM-based semiorthogonal user scheduling (CAM-SUS) algorithm that adaptively adjusts the number of serving users according to the user's CAM. Specifically, the CAM-SUS algorithm reduces the number of serving users to mitigate intra-user interference (lUI) when channel aging is severe, and otherwise increases the number to increase the multiplexing gain. Simulation results show the proposed algorithm outperforms the SUS algorithm in a time-varying channel in terms of signal-to-interference-plus-noise ratio by 6–7 dB, and the achievable rate by 39–41 %. 
URL : https://ieeexplore.ieee.org/document/10059856 


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