发布单位:成果专利综合科 [2020-12-31 14:55:04] 打印此信息

题目:Massive Random Access for 5G and Beyond: An Optimization Perspective

内容简介:Massive access, also known as massive connectivity or massive machine-type communication (mMTC), is one of the three main use cases of the fifth-generation (5G) and beyond 5G (B5G) wireless networks defined by the International Telecommunication Union. Different from conventional human-type communication, massive access aims at realizing efficient and reliable communications for a massive number of Internet of Things (IoT) devices. The main challenge of mMTC is that the BS can efficiently and reliably detect the active devices based on the superposition of their unique signatures from a large pool of uplink devices, among which only a small fraction is active. In this talk, we shall present some recent results of massive access from an optimization perspective. In particular, we shall present optimization formulations and algorithms as well as some phase transition analysis results.


报告人简介:国家基金优秀青年基金项目获得者。2007年毕业于西安电子科技大学理学院数学系,2012年在中国科学院数学与系统科学研究院获得博士学位(导师:戴彧虹研究员);博士期间,受中国科学院数学与系统科学研究院资助访问明尼苏达大学一年(合作导师:罗智泉教授)。毕业后,他一直在中国科学院数学与系统科学研究院计算数学所工作,2018年晋升为数学与系统科学研究院副研究员。他的主要研究兴趣是最优化理论与算法及其在信号处理和无线通信等领域中的应用,已在Mathematical Programming, SIAM Journal on Optimization, Mathematics of Operations Research等优化期刊以及 IEEE Transactions on Signal Processing, IEEE Journal on Selected Areas in Communications, IEEE Transactions on Wireless Communications, IEEE Transactions on Information TheoryIEEE交叉领域期刊发表论文四十余篇。曾获2011年国际通信大会“最佳论文奖”(由IEEE通信学会颁发),2015WiOpt (International Symposium on Modeling and Optimization in Mobile, Ad Hoc and Wireless Networks)“最佳学生论文奖”,2018年数学与系统科学研究院“陈景润未来之星”,2018年中国运筹学会“青年科技奖”,2020IEEE通信学会亚太地区杰出青年学者奖(2020 IEEE ComSoc Asia-Pacific Outstanding Young Researcher Award)等。他目前担任《IEEE Transactions on Wireless Communications》、《IEEE Signal Processing Letters》和《》期刊的编委。他是IEEE信号处理学会SPCOMSignal Processing for Communications and Networking)的技术委员会成员(Technical Committee)、中国运筹学会副秘书长、中国运筹学会数学规划分会副秘书长。


地点:腾讯会议在线讲座 ID629 268 467