Technical Program

GS-P.1: Massive MIMO

Symposium: General Symposium
Session Type: Poster
Time: Tuesday, November 27, 11:00 - 12:30
Location: Sleeping Beauty Pavilion
 
Poster Board: 1
GS-P.1.1: COMPRESSIVE MASSIVE RANDOM ACCESS FOR MASSIVE MACHINE-TYPE COMMUNICATIONS (MMTC)
         Malong Ke; Beijing Institute of Technology
         Zhen Gao; Beijing Institute of Technology
         Yongpeng Wu; Shanghai Jiao Tong University
         Xiangming Meng; Huawei Technologies Co.Ltd
 
Poster Board: 2
GS-P.1.2: DOWNLINK CHANNEL SPATIAL COVARIANCE ESTIMATION IN REALISTIC FDD MASSIVE MIMO SYSTEMS
         Lorenzo Miretti; EURECOM
         Renato Luis Garrido Cavalcante; Fraunhofer Heinrich Hertz Institute, and Technical University of Berlin
         Slawomir Stanczak; Fraunhofer Heinrich Hertz Institute, and Technical University of Berlin
 
Poster Board: 3
GS-P.1.3: HOW TO EXPLOIT MOBILITY TO MITIGATE PILOT CONTAMINATION?
         Xiaoyu Zhang; ShanghaiTech University
         Xuanfeng Li; ShanghaiTech University
         Yong Zhou; ShanghaiTech University
         Hua Qian; Shanghai Advanced Research Institute, CAS
         Xiliang Luo; ShanghaiTech University
 
Poster Board: 4
GS-P.1.4: CHANNEL COVARIANCE IDENTIFICATION IN FDD MASSIVE MIMO SYSTEMS
         José Pablo González-Coma; University of A Coruña
         Pedro Suárez-Casal; University of A Coruña
         Paula María Castro; University of A Coruña
         Luis Castedo; University of A Coruña
         Michael Joham; Technische Universität München
 
Poster Board: 5
GS-P.1.5: INTERFERENCE STATISTICS APPROXIMATIONS FOR DATA RATE ANALYSIS IN UPLINK MASSIVE MTC
         Sergi Liesegang; Universitat Politècnica de Catalunya
         Olga Muñoz; Universitat Politècnica de Catalunya
         Antonio Pascual-Iserte; Universitat Politècnica de Catalunya
 
Poster Board: 6
GS-P.1.6: A LOW COMPLEXITY MASSIVE MIMO DETECTION SCHEME USING ANGULAR-DOMAIN PROCESSING
         Mojtaba Mahdavi; Lund University
         Ove Edfors; Lund University
         Viktor Öwall; Lund University
         Liang Liu; Lund University