A5001248935- UAV Applications and Optimization
- Energy Harvesting in Wireless Networks
- Advanced MIMO Systems Optimization
- Distributed Control Multi-Agent Systems
- Satellite Communication Systems
- Telecommunications and Broadcasting Technologies
- Advanced Wireless Communication Technologies
Hankyong National University
2021-2022
Predictably, the upcoming six generation (6G) networks demand ultra-massive interconnectivity comprising densely congested sustainable small-to-tiny networks. The conventional radio access network (RAN) will be redesigned to provide necessary intelligence in all areas meet required flexibility, full coverage, and massive access. In this respect, paper focuses on intelligent RAN (mRAN) architecture key technologies fulfilling requirements. Particularly, we investigate potential artificial...
An unmanned aerial vehicle-mounted base station (UAV-BS) is a promising technology for the forthcoming sixth-generation wireless networks, owing to its flexibility and cost effectiveness. Besides, limited network operation time of UAV-BS networks can be overcome with concept tethered vehicles (TUAVs), which are powered from an energy source in ground. Along this trend, optimal deployment (i.e., trajectory control) TUAVs maximize throughput multicell environments has been studied. As problem...
To overcome the problems caused by limited battery lifetime in multiple-unmanned aerial vehicle (UAV) wireless networks, we propose a hierarchical multi-agent reinforcement learning (RL) framework to maximize energy efficiency (EE) of UAVs finding optimal frequency reuse factor and transmit power. The proposed algorithm consists distributed inner-loop RL for power control UAV terminal (UT) centralized outer-loop factor. Specifically, adjusts these two factors jointly effectively mitigate...
In this paper, to maximize the lifetime of drone swarms by resolving battery exhaustion problems caused undesired retransmissions, we propose a residual energy-aware online random access scheme (RE-ORA) adjusting packet transmission opportunities based on energy in S-ALOHA-based swarming networks. We aim improve with smallest among swarms. addition, analyze success, collision, and idle probabilities particular, intradrone swarm collision interdrone probabilities. Through intensive...
Optimizing the placement and transmit power control of unmanned aerial vehicle-base stations (UAV-BSs) is a key priority in 6G air-to-ground communication networks. A multi-UAV network brings many advantages, such as high line-of-sight (LoS) probability, three-dimensional (3D) connectivity, flexible mobility, cost-effectiveness. However, it still has problem severe battery constraints. To overcome this problem, concept tethered UAV (TUAV) introduced, receives sufficient from ground through...