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FR3.I: Channel Estimation

Session Type: Lecture
Time: Friday, 8 May, 15:15 - 17:15
Location: On-Demand
Session Chairs: Dirk Slock, EURECOM and Joakim Jaldén, KTH Royal Institute of Technology
 
   FR3.I.1: ONLINE CHANNEL ESTIMATION FOR HYBRID BEAMFORMING ARCHITECTURES
         Jochen Fink; Fraunhofer Heinrich Hertz Institute
         Renato L. G. Cavalcante; Fraunhofer Heinrich Hertz Institute
         Slawomir Stanczak; Fraunhofer Heinrich Hertz Institute
 
   FR3.I.2: AN OPTIMAL CHANNEL ESTIMATION SCHEME FOR INTELLIGENT REFLECTING SURFACES BASED ON A MINIMUM VARIANCE UNBIASED ESTIMATOR
         Tobias Lindstrøm Jensen; Aalborg University
         Elisabeth De Carvalho; Aalborg University
 
   FR3.I.3: LOW-RANK MMWAVE MIMO CHANNEL ESTIMATION IN ONE-BIT RECEIVERS
         Nitin Jonathan Myers; University of Texas at Austin
         Kayla N. Tran; University of Texas at Austin
         Robert W. Heath Jr.; University of Texas at Austin
 
   FR3.I.4: CHANNEL CHARTING: AN EUCLIDEAN DISTANCE MATRIX COMPLETION PERSPECTIVE
         Patrick Agostini; Fraunhofer Heinrich Hertz Institute
         Zoran Utkovski; Fraunhofer Heinrich Hertz Institute
         Slawomir Stanczak; Fraunhofer Heinrich Hertz Institute
 
   FR3.I.5: MMSE-BASED CHANNEL ESTIMATION FOR HYBRID BEAMFORMING MASSIVE MIMO WITH CORRELATED CHANNELS
         Javad Mirzaei; University of Toronto
         Foad Sohrabi; University of Toronto
         Raviraj Adve; University of Toronto
         Shahram ShahbazPanahi; Ontario Tech University