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aoienergyuavpathplanning

aoienergyuavtraopt

UAV trajectory optimization with the average AoI and energy as the bjective functions

cell-free-isac-beamforming

Implementation of the paper "Cell-Free ISAC MIMO Systems: Joint Sensing and Communication Beamforming"

cf_uav

UAV Communications With WPT-Aided Cell-Free Massive MIMO Systems

computation-offloading-in-uav-enabled-edge-compuing-a-stackelberg-game-approach

source code of the paper "Computation offloading in UAV-enabled Edge Computing: A Stackelberg Game Approach" published in SENSORS

drl-based-mec

Mobile Edge Computing Server based on Deep Reinforcement Learning (One-on-one)

drl-ec3

[JSAC 2018] Energy-Efficient UAV Control for Effective and Fair Communication Coverage: A Deep Reinforcement Learning Approach

drl-efresh

[TMC] Delay-Sensitive Energy-Efficient UAV Crowdsensing by Deep Reinforcement Learning

energy-efficient_uav_communication_with_trajectory_optimization

federated-learning

联邦学习

feel

part code of paper entitled "battery-constrained federated edge learning in uav-enabled iot for b5g/6g networks"

green

multi-UAV TC optimization

hrris_for_mec

Matlab codes for paper 'K. -H. Ngo, N. T. Nguyen, T. Q. Dinh, T. -M. Hoang and M. Juntti, "Low-Latency and Secure Computation Offloading Assisted by Hybrid % Relay-Reflecting Intelligent Surface," in Proc. Int. Conf. Advanced Technologies for Communications (ATC), Hanoi, Vietnam, 2021, pp. 306-311.'

iot_rate_max

Optimal UAV Deployment for Rate Maximization in IoT Networks

ipp-rl

Adaptive Informative Path Planning Using Deep Reinforcement Learning for UAV-based Active Sensing

isac-mimo-ofdm-wf

marl_uav

This repository implements the proposed method from IEEE 2020 Paper Multi-Agent Reinforcement Learning Based Resource Allocation for UAV Networks

mecoptimaloffloading

Optimization of Offloading Scheme Algorithm for Large Number of Tasks in Mobile-Edge Computing

misalignedoac

Source code for paper "Federated Edge Learning with Misaligned Over-The-Air Computation"

mobile-edge-computing-uav-trajectory

moddpg

This is the code of the moddpg algorithm for UAV-assisted data collection and energy harvesting.

multi-agent-reinforcement-learning-in-noma-aided-uav-networks-for-cellular-offloading

Code for the paper 'Multi-Agent Reinforcement Learning in NOMA-Aided UAV Networks for Cellular Offloading'

multi-uav

code

multi-uav-mec

Code implementation of our paper "Energy-Efficient Multi-UAV-Enabled Multiaccess Edge Computing Incorporating NOMA"

multi_uav_mobile_edge_computing

multi_uav_mobile_edge_computing-1

Mobile edge computing networks based on Unmanned Aerial Vehicles

multiple-uav-trajectory-and-power-control

Simulation and documentations of Multiple UAV TPC optimization

must-reading-on-isac

Must Reading Papers, Research Library, Open-Source Code on Integrated Sensing and Communications (aka. Joint Radar and Communications, Joint Sensing and Communications, Dual-Functional Radar Communications)

noma-mec

A general framework for NOMA-MEC offloading

noma-mec-iovt

Simulation code of our paper ''Joint Transmission and Resource Optimization in NOMA-assisted IoVT with Mobile Edge Computing"