Computation offloading and resource allocation in MEC-enabled integrated aerial-terrestrial vehicular networks: A reinforcement learning approach
As important services of the future sixth-generation (6G) wireless networks, vehicular
communication and mobile edge computing (MEC) have received considerable interest in …
communication and mobile edge computing (MEC) have received considerable interest in …
Survey on fair reinforcement learning: Theory and practice
Fairness-aware learning aims at satisfying various fairness constraints in addition to the
usual performance criteria via data-driven machine learning techniques. Most of the …
usual performance criteria via data-driven machine learning techniques. Most of the …
Efficient resource allocation in multi-UAV assisted vehicular networks with security constraint and attention mechanism
With the rapid development of intelligent transportation systems, there is an increasingly
strong demand for low-latency and high-bandwidth vehicular services. Unmanned aerial …
strong demand for low-latency and high-bandwidth vehicular services. Unmanned aerial …
α-fairness-maximizing user association in energy-constrained small cell networks
Renewable energy source (RES)-powered base stations have received tremendous
research interest in recent years because they can expand network coverage without …
research interest in recent years because they can expand network coverage without …
Hybrid satellite-UAV-terrestrial maritime networks: Network selection for users on a vessel optimized with transmit power and UAV position
X Li, W Shi - China Communications, 2022 - ieeexplore.ieee.org
The hybrid satellite-UAV-terrestrial maritime networks have shown great promise for
broadband coverage at sea. The existing works focused on vessels collaboratively served …
broadband coverage at sea. The existing works focused on vessels collaboratively served …
[PDF][PDF] 基于K-臂赌博机的多无人机空地网络动态资源分配方法
马楠， 许魁， 夏晓晨， 谢威， 徐键卉， 申麦英 - 电子与信息学报, 2022 - jeit.ac.cn
针对配置大规模MIMO 的多无人机空地网络中的动态资源分配问题, 从最大化系统吞吐量的角度
出发, 该文提出一种基于K-臂赌博机的强化学习算法联合优化多个无人机的用户选择与功率分配 …
出发, 该文提出一种基于K-臂赌博机的强化学习算法联合优化多个无人机的用户选择与功率分配 …
Dynamic Resource Allocation Based on K-armed Bandit for Multi-UAV Air-Ground Network
N MA, K XU, X XIA, W XIE, J XU, M SHEN - 电子与信息学报, 2022 - jeit.ac.cn
In view of the problem of resource allocation in the Unmanned Aerial Vehicle (UAV) enabled
air-ground network with massive MIMO, a K-armed bandit-based reinforcement learning …
air-ground network with massive MIMO, a K-armed bandit-based reinforcement learning …
위성/공중/지상망기반6G 공간네트워크핵심원천기술개발
김태윤， 류재학， 김종민， 김영훈， 문형주… - 한국통신학회지(정보와 …, 2022 - dbpia.co.kr
본고에서는 최근 주목받고 있는 6G 의 초공간 초고속 이동체 지원을 위한 위성/공중/지상망
기반 6G 네트워크의 필요성에 대해 6G 네트워크의 필요성 및 필요 요소 기술에 대해 살펴본다 …
기반 6G 네트워크의 필요성에 대해 6G 네트워크의 필요성 및 필요 요소 기술에 대해 살펴본다 …