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 : 2016-09 
Title : Effects of Channel Estimation Errors on Ultra-Dense Small Cell Networks 
Authors : Yosub Park, Jihaeng Heo, Jintae Kim, Sooyong Choi, and Daesik Hong 
Conference : PIMRC 
Abstract : In this paper, we investigate the effect of channel estimation (CE) error on the performances for the ultra-dense small cell networks. Specifically, we examine its effect on the distribution of signal to interference and noise ratio (SINR) and trend of spectral efficiency (SE), and outage probability.
From these, we found out that the SINR degradation due to the CE errors becomes larger, as the density ratio of small base station (BS) to UE increases. We derived the theoretical lower bound of the outage probability, which is the function of CE correlation coefficient. Finally, numerical results demonstrate that the CE errors diminish the increasing scaling of SE, as the small BS density increases. 
Download : https://mirinae.yonsei.ac.kr/?module=fil...le_srl=343 

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» [IEEE PIMRC] Yosub Park, Jihaeng Heo, Jintae Kim, Sooyong Choi, and Daesik Hong, "Effects of Channel Estimation Errors on Ultra-Dense Small Cell Networks," IEEE PIMRC 2016 file Presented  2016-09