… 1.3 分布式算力的应用和未来趋势 随着5G和6G网络技术的发展,更高的网络速度和更低 的延迟
推动了分布式云边端算力在更多领域中的应用,如无 人驾驶,远程医疗,工业自动化等.同时,随着…

… communication for human beings, the sixth generation mobile communication system (6G) …
本文首先分析6G 演进趋势,探讨人工智能与 人类用户的关系,然后基于6G 业务需求框架提出 新…

… based on multi-agent reinforcement learning with two kinds of deep reinforcement learning
DRL-CC[… 6G wireless communications: vision and potential techniques. IEEE Netw, 2019, 33: …

… 共识,智能内生已经成为 6G 的重要特征之一. 当前很多AI/ML(machine learning,机器学习) 方法
已经… Towards 6G wireless communication networks: vision, enabling technologies, and new …

… communication for UAV communications are investigated. Finally, the future challenges of
UAV communications for 6G, … to fly: A distributed deep reinforcement learning framework for …

… sixth generation of mobile communications system (6G) is … layer communication requirements
of industries, and artificial … 学习( ML, machine learning)和深度学习(DL, deep learning)方 法…

… IEEE Wireless Communications Letters, 2018, 7(1): 114-117. [8] SUN Y, PENG MG, ZHOU
Y… Machine learning approach for user association and content placement in fog radio access …

… (6G) mobile communications and Unmanned Aerial Vehicle (UAV) technology, UAV
communication networks … Combined with game theory, machine learning and online decisions, the …

… multi-critic deep reinforcement learning algorithm is proposed. … wireless communication
knowledge is embedded into deep reinforcement learning, and the combination of deep …

… 机器学习(machine learning,ML)和 深度学习(deep learning,DL)在空口,资源管理 和物理层等多
个… chine learning for 6G communication networks: state-of-the-art and vision for the future[J]. …