OFDM Multiple Antennas Cognitive Radio Relay Synchronization CDMA Channel Estimation Spectrum Sharing Interference Cancellation Full duplex Spectrum Sensing Neural Networks Resource Allocation Stochastic Geometry Equalizer Bi-Directional Feedback Femtocell Heterogeneous Networks Energy Harvesting Device-to-Device (D2D) Cell Search Spectral efficiency NOMA FBMC interference management Dynamic TDD Cross-link interference SINR mismatch problem HetNet Idle cells Ultra-dense small cell networks achievable sum rate outage probability multi-spectral full-duplex relay selection diversity bursty traffic model mode selection Handoff CP-OFDM non-orthogonal multiple access self-interference cancellation Complexity HST full-duplex cellular interference coordination Cognitive relay networks Time spreading beamforming Link adaptation Heterogeneous channel estimation capability coexistence MU-MIMO full-spreading NOMA GFDM Bi-directional full-duplex OQAM sensing duration Correlated MIMO Simultaneous Sensing and Transmission transmission capacity (TC) Two-way communications in-band full-duplex system automatic repeat request (ARQ) UWB interference mitigation TS-W-OFDM Windowing time-frequency efficiency eigen decomposition pilot signal 5G networks prototype filter Aggregate interference Long Term Evolution-Advanced interference to noise ratio resource size control link reliability mixed numerology Vehicle-to-vehicle communication LTE-based V2V Coexistence scenarios Resource management Singular Vale Decomposition Cooperative systems Filtered OFDM tabu-search Grant-free Transmission Reliability Vehicle-to-Vehicle C-V2V Mobility MLP 5G flexible duplex Preamble Asynchronous Transmission Railway Deep learning massive connectivity
Status : Published 
Date : 2017-04 
Title : Spectral Efficiency Analysis of Ultra-Dense Small Cell Networks with Heterogeneous Channel Estimation Capabilities 
Authors : Yosub Park, Jihaeng Heo, and Daesik Hong 
Journal : IEEE Communications Letters 
Abstract : This paper analyzes a spectral efficiency (SE) performance reflecting heterogeneous channel estimation (CE) capabilities across user equipments (UE) in ultra-dense small cell networks. Specifically, we derive asymptotic and approximated SE performances considering different kinds of CE capabilities. The analysis and simulation results lead us to some new intuitions as follows: i) the heterogeneity of CE capabilities across UEs has a great effect on SE performance in ultra-dense networks and ii) as the cell density increases, SE performance is asymptotically converged to its limit point when heterogeneous CE capabilities is considered, whereas the SE logarithmically increases in the perfect CE case. 
URL : http://ieeexplore.ieee.org/document/7914727/ 
Download : https://mirinae.yonsei.ac.kr/?module=fil...le_srl=179 

.

List of Articles
No.
Status Datesort
» [IEEE Commun. Lett.] Yosub Park, Jihaeng Heo, and Daesik Hong, "Spectral Efficiency Analysis of Ultra-Dense Small Cell Networks with Heterogeneous Channel Estimation Capabilities", IEEE Comm. Letters, Apr. 2017 file Published  2017-04