sk8053

New York UniversityNew York

Pinned Repositories

ConvLSTM_pytorch
Implementation of Convolutional LSTM in PyTorch.
Language:Python10
dual_handover
This is ns-3 code of the paper, "A Dual-Connection based Handover Scheme for Ultra-Dense Millimeter-Wave Cellular Networks" published in globecomm 2019
Language:TeX30
GeoStochasticChanModel
Language:Python6 1 02
ns3-mmwave
Language:C++00
ns3-mmwave-1
ns-3 module for simulating mmWave-based cellular systems. See https://ieeexplore.ieee.org/document/8344116/ (open access) as a reference.
Language:C++1 0 00
sat_3gpp_chan
Language:Python00
ter_sat_spctr_sharing
Language:Python31
uav_interference_analysis
Language:Jupyter Notebook31
uav_urban_coverage
Language:Python41
useful_work
Language:Jupyter Notebook00

sk8053's Repositories

sk8053/GeoStochasticChanModel
Language:Python6 1 02
sk8053/uav_urban_coverage
Language:Python41
sk8053/dual_handover
This is ns-3 code of the paper, "A Dual-Connection based Handover Scheme for Ultra-Dense Millimeter-Wave Cellular Networks" published in globecomm 2019
Language:TeX30
sk8053/ter_sat_spctr_sharing
Language:Python31
sk8053/uav_interference_analysis
Language:Jupyter Notebook31
sk8053/ConvLSTM_pytorch
Implementation of Convolutional LSTM in PyTorch.
Language:Python10
sk8053/ns3-mmwave-1
ns-3 module for simulating mmWave-based cellular systems. See https://ieeexplore.ieee.org/document/8344116/ (open access) as a reference.
Language:C++1 0 00
sk8053/ns3-mmwave
Language:C++00
sk8053/sat_3gpp_chan
Language:Python00
sk8053/useful_work
Language:Jupyter Notebook00