Machine Learning for Wireless Connectivity and Security of Cellular-Connected UAVs

2018-04-15 · Ursula Challita, Aidin Ferdowsi, Mingzhe Chen, Walid Saad

Cellular-connected unmanned aerial vehicles (UAVs) will inevitably be integrated into future cellular networks as new aerial mobile users. Providing cellular connectivity to UAVs will enable a myriad of applications ranging from online video streaming to medical delivery. However, to enable a reliable wireless connectivity for the UAVs as well as a secure operation, various challenges need to be addressed such as interference management, mobility management and handover, cyber-physical attacks, and authentication. In this paper, the goal is to expose the wireless and security challenges that arise in the context of UAV-based delivery systems, UAV-based real-time multimedia streaming, and UAV-enabled intelligent transportation systems. To address such challenges, artificial neural network (ANN) based solution schemes are introduced. The introduced approaches enable the UAVs to adaptively exploit the wireless system resources while guaranteeing a secure operation, in real-time. Preliminary simulation results show the benefits of the introduced solutions for each of the aforementioned cellular-connected UAV application use case.

📄 PDF Abstract BibTeX arXiv:1804.05348

Code (0)

등록된 구현이 없습니다.

Tasks

BIG-bench Machine Learning Management

Real-time Video Streaming and Control of Cellular-Connected UAV System: Prototype and Performance Evaluation

2021-01-26 · Hui Zhou, Fenghe Hu, Michal Juras, Asish B Mehta 외

Unmanned aerial vehicles (UAVs) play an increasingly important role in military, public, and civilian applications, where providing connectivity to UAVs is crucial for its real-time control, video streaming, and data col…

Mobility Management for Cellular-Connected UAVs: A Learning-Based Approach

2020-03-10

The pervasiveness of the wireless cellular network can be a key enabler for the deployment of autonomous unmanned aerial vehicles (UAVs) in beyond visual line of sight scenarios without human control. However, traditiona…

Management Reinforcement Learning (RL)

Cellular-Connected Wireless Virtual Reality: Requirements, Challenges, and Solutions

2020-01-13 · Fenghe Hu, Yansha Deng, Walid Saad, Mehdi Bennis 외

Cellular-connected wireless connectivity provides new opportunities for virtual reality(VR) to offer seamless user experience from anywhere at anytime. To realize this vision, the quality-of-service (QoS) for wireless VR…

Efficient Drone Mobility Support Using Reinforcement Learning

2019-11-21 · Yun Chen, Xingqin Lin, Talha Khan, Mohammad Mozaffari

Flying drones can be used in a wide range of applications and services from surveillance to package delivery. To ensure robust control and safety of drone operations, cellular networks need to provide reliable wireless c…

Q-Learning reinforcement-learning Reinforcement Learning Reinforcement Learning (RL)

Joint Transceiver Design Based on Dictionary Learning Algorithm for SCMA

2020-10-30 · Shanshan Zhang, Wen Chen, Shaoyuan Chen

With the explosively increasing demands on the network capacity, throughput and number of connected wireless devices, massive connectivity is an urgent problem for the next generation wireless communications. In this pap…

Dictionary Learning Scheduling