# DRL-5G-Scheduler; Author: Zhouyou Gu ([email protected]); # Supervisors: Wibowo Hardjawana; Branka Vucetic; # This project is developed at Centre for IoT and Telecommunications at The University of Sydney, # under a project directly funded by Telstra Corporation Ltd., titled # ”Development of an Open Programmable Scheduler for LTE Networks”, from 2018 to 2019. # Reference: Z. Gu, C. She, W. Hardjawana, S. Lumb, D. McKechnie, T. Essery, and B. Vucetic, # “Knowledge-assisted deep reinforcement learning in 5G scheduler design: # From theoretical framework to implementation,” IEEE JSAC., to appear, 2021 from edge_ctrl_src.edge import Edge from edge_ctrl_src.edge_config import edge_config e = Edge(0, edge_config) e.run_one_sudo_command('echo hello') e.run_one_no_sudo_command('echo hello')
# DRL-5G-Scheduler; Author: Zhouyou Gu ([email protected]); # Supervisors: Wibowo Hardjawana; Branka Vucetic; # This project is developed at Centre for IoT and Telecommunications at The University of Sydney, # under a project directly funded by Telstra Corporation Ltd., titled # ”Development of an Open Programmable Scheduler for LTE Networks”, from 2018 to 2019. # Reference: Z. Gu, C. She, W. Hardjawana, S. Lumb, D. McKechnie, T. Essery, and B. Vucetic, # “Knowledge-assisted deep reinforcement learning in 5G scheduler design: # From theoretical framework to implementation,” IEEE JSAC., to appear, 2021 import os from edge_ctrl_src.edge import Edge from edge_ctrl_src.edge_config import edge_config e = Edge(0, edge_config) path = os.path.dirname(os.path.realpath(__file__)) path = os.path.join(path, os.path.pardir) path = os.path.join(path, os.path.pardir) path = os.path.abspath(path) PROJECT_DIR = path e._create_working_dirs() e.upload_all_src_file_to_edge(PROJECT_DIR)
# DRL-5G-Scheduler; Author: Zhouyou Gu ([email protected]); # Supervisors: Wibowo Hardjawana; Branka Vucetic; # This project is developed at Centre for IoT and Telecommunications at The University of Sydney, # under a project directly funded by Telstra Corporation Ltd., titled # ”Development of an Open Programmable Scheduler for LTE Networks”, from 2018 to 2019. # Reference: Z. Gu, C. She, W. Hardjawana, S. Lumb, D. McKechnie, T. Essery, and B. Vucetic, # “Knowledge-assisted deep reinforcement learning in 5G scheduler design: # From theoretical framework to implementation,” IEEE JSAC., to appear, 2021 from edge_ctrl_src.edge import Edge from edge_ctrl_src.edge_config import edge_config e = Edge(0, edge_config) # e._run_enb(100000) e.run_edge(100000)
# DRL-5G-Scheduler; Author: Zhouyou Gu ([email protected]); # Supervisors: Wibowo Hardjawana; Branka Vucetic; # This project is developed at Centre for IoT and Telecommunications at The University of Sydney, # under a project directly funded by Telstra Corporation Ltd., titled # ”Development of an Open Programmable Scheduler for LTE Networks”, from 2018 to 2019. # Reference: Z. Gu, C. She, W. Hardjawana, S. Lumb, D. McKechnie, T. Essery, and B. Vucetic, # “Knowledge-assisted deep reinforcement learning in 5G scheduler design: # From theoretical framework to implementation,” IEEE JSAC., to appear, 2021 from edge_ctrl_src.edge import Edge from edge_ctrl_src.edge_config import edge_config e = Edge(0, edge_config) e.sync_global_time()
# DRL-5G-Scheduler; Author: Zhouyou Gu ([email protected]); # Supervisors: Wibowo Hardjawana; Branka Vucetic; # This project is developed at Centre for IoT and Telecommunications at The University of Sydney, # under a project directly funded by Telstra Corporation Ltd., titled # ”Development of an Open Programmable Scheduler for LTE Networks”, from 2018 to 2019. # Reference: Z. Gu, C. She, W. Hardjawana, S. Lumb, D. McKechnie, T. Essery, and B. Vucetic, # “Knowledge-assisted deep reinforcement learning in 5G scheduler design: # From theoretical framework to implementation,” IEEE JSAC., to appear, 2021 from edge_ctrl_src.edge import Edge from edge_ctrl_src.edge_config import edge_config e = Edge(0, edge_config) e.clean_compilation() e.sync_global_time() e.sync_global_time() e.compile() # # e._compile_enb()
def __init__(self, id, config):
Edge.__init__(self, id, config)
# DRL-5G-Scheduler; Author: Zhouyou Gu ([email protected]); # Supervisors: Wibowo Hardjawana; Branka Vucetic; # This project is developed at Centre for IoT and Telecommunications at The University of Sydney, # under a project directly funded by Telstra Corporation Ltd., titled # ”Development of an Open Programmable Scheduler for LTE Networks”, from 2018 to 2019. # Reference: Z. Gu, C. She, W. Hardjawana, S. Lumb, D. McKechnie, T. Essery, and B. Vucetic, # “Knowledge-assisted deep reinforcement learning in 5G scheduler design: # From theoretical framework to implementation,” IEEE JSAC., to appear, 2021 from edge_ctrl_src.edge import Edge from edge_ctrl_src.edge_config import edge_config e = Edge(0, edge_config) e.reboot()