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#mmwave

6 results
cs.IT2019

3-D Positioning and Environment Mapping for mmWave Communication Systems

Jie Yang, Shi Jin, Chao-Kai Wen +2

The paper develops a 3‑D joint positioning, velocity estimation, and environment mapping (SLAM) framework for millimeter‑wave cloud radio access networks, using hybrid delay‑angle…

#mmwave#localization#slam#wireless networks
eess.SP2019

BEACHES: Beamspace Channel Estimation for Multi-Antenna mmWave Systems and Beyond

Ramina Ghods, Alexandra Gallyas-Sanhueza, Seyed Hadi Mirfarshbafan +1

The paper introduces BEACHES, a low‑complexity algorithm that estimates sparse mmWave and terahertz channels in the beamspace domain and includes an efficient tuning step that mini…

#mmwave#channel estimation#beamspace#massive mimo
cs.IT2019

Beam Codebook Design for 5G mmWave Terminals

Jianhua Mo, Boon Loong Ng, Sanghyun Chang +6

The paper introduces a data‑driven approach to design beam codebooks for 5G mmWave terminals that uses measured or simulated antenna electric‑field responses to improve spherical c…

#beamforming#codebook design#mmwave#spherical coverage
cs.IT2019

Grip-Aware Analog mmWave Beam Codebook Adaptation for 5G Mobile Handsets

Ahmad AlAmmouri, Jianhua Mo, Boon Loong Ng +2

The paper investigates how a user’s hand grip blocks antenna radiation on 5G mmWave handsets and proposes beamforming codebook adaptation schemes that account for the grip to impro…

#mmwave#beamforming#codebook design#hand grip
cs.NI2019

Joint Relaying and Spatial Sharing Multicast Scheduling for mmWave Networks

Gek Hong, Sim, Mahdi Mousavi +3

The paper proposes new multicast scheduling algorithms for millimeter‑wave networks that jointly use relaying and spatial sharing to dramatically reduce the time needed to complete…

#mmwave#multicast scheduling#relaying#spatial sharing
eess.SP2019

Deep Neural Network Symbol Detection for Millimeter Wave Communications

Yun Liao, Nariman Farsad, Nir Shlezinger +2

The paper introduces a deep neural network symbol detector that uses a sliding bidirectional recurrent architecture to decode signals in millimeter‑wave channels without requiring…

#deep learning#symbol detection#mmwave#recurrent neural network