报告简介:
In this talk, we will first present the key concepts and main principles related to edge intelligence, i.e., the synergy between edge computing and AI. Then, we mainly focus on deep reinforcement learning for addressing key challenges in 5G beyond networks and Internet of Vehicles. In such contexts, we will present our recent studies and results related to content distribution and caching, resource management & optimization, and task offloading problems. We will also point out several open research questions for further study.
报告人简介:
张彦,挪威奥斯陆大学终身教授,全球“高被引科学家”,英国工程与技术学会会士,IEEE通信学会绿色通信与计算技术委员会主席,IEEE杰出讲师,CCF区块链专委会委员。
张彦教授2005年毕业于新加坡南洋理工大学获电子电气工程博士学位,分别于北京航空航天大学和南京邮电大学获硕士和学士学位。近期主要研究方向为未来无线通信网络和智能安全物联网。发表的论文被引用14000多次(Google Scholar),H因子61。现任9个IEEE Transactions/Magazine顶级期刊编委,包括IEEE Communications Magazine; IEEE Network Magazine; IEEE Communications Surveys & Tutorials;IEEE Transactions on Industrial Informatics; IEEE Transactions on Vehicular Technology; IEEE Transactions on Green Communications and Networking; IEEE Internet of Things;IEEE Systems Journal; 以及IEEE Vehicular Technology Magazine。并现任或曾任国内多个核心期刊编委,包括中国通信 ,通信与信息网络学报,及物联网学报