OFDM Multiple Antennas Cognitive Radio Relay CDMA Synchronization Channel Estimation Spectrum Sharing Interference Cancellation Full duplex Spectrum Sensing Resource Allocation Neural Networks Stochastic Geometry Equalizer Bi-Directional Feedback Femtocell Energy Harvesting Heterogeneous Networks Device-to-Device (D2D) Cross-link interference Cell Search SINR mismatch problem Ultra-dense small cell networks HetNet Idle cells Spectral efficiency Dynamic TDD interference management NOMA FBMC selection diversity Handoff outage probability mode selection B5G multi-spectral achievable sum rate Grant-free Transmission Filtered OFDM tabu-search bursty traffic model flexible duplex 5G Asynchronous Transmission Preamble Deep learning Shortened TTI automatic repeat request (ARQ) Two-way communications transmission capacity (TC) in-band full-duplex system self-interference cancellation Complexity Ultra-dense small cell sensing duration Correlated MIMO Cognitive relay networks Heterogeneous channel estimation capability Bi-directional full-duplex full-duplex cellular full-duplex relay Simultaneous Sensing and Transmission UWB OQAM Windowing Vehicle-to-vehicle communication prototype filter pilot signal LTE-based V2V link reliability resource size control interference to noise ratio eigen decomposition TS-W-OFDM C-V2V massive connectivity Reliability Vehicle-to-Vehicle full-spreading NOMA Resource management Cooperative systems Coexistence scenarios mixed numerology 6G Cell-free Coexisting network Multiple access Railway CP-OFDM MLP Edge computing Full-duplex Mobility non-orthogonal multiple access HST interference mitigation Computation offloading TDD configuration Singular Vale Decomposition
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 

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» [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