报告主题：Massive Random Access for 5G and Beyond: An Optimization Perspective
报告人：刘亚锋 副研究员（中国科学院数学与系统科学研究院）
报告时间：2020年11月6日（周五） 14:00
报告地点：G507
邀请人：徐姿
主办部门：理学院数学系
报告摘要：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.
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