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    1. 數學系Seminar第2041期 Massive Random Access for 5G and Beyond: An Optimization Perspective

      創建時間:  2020/11/05  龔惠英   瀏覽次數:   返回

      報告主題:Massive Random Access for 5G and Beyond: An Optimization Perspective

      報告人:劉亞鋒 副研究員(中國科學院數學與系統科學研究院)

      報告時間:2020年11月6日(周五) 14:00

      報告地點:G507

      邀請人:徐姿

      主辦部門:理學院數學系

      報告摘要: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.


      歡迎教師、學生參加!

      上一條:數學系Seminar第2042期 Algorithmic Design for Big Data Related Optimization

      下一條:數學系“60周年”系慶系列報告 Iterative algorithm for solving a class of convex feasibility problem


      數學系Seminar第2041期 Massive Random Access for 5G and Beyond: An Optimization Perspective

      創建時間:  2020/11/05  龔惠英   瀏覽次數:   返回

      報告主題:Massive Random Access for 5G and Beyond: An Optimization Perspective

      報告人:劉亞鋒 副研究員(中國科學院數學與系統科學研究院)

      報告時間:2020年11月6日(周五) 14:00

      報告地點:G507

      邀請人:徐姿

      主辦部門:理學院數學系

      報告摘要: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.


      歡迎教師、學生參加!

      上一條:數學系Seminar第2042期 Algorithmic Design for Big Data Related Optimization

      下一條:數學系“60周年”系慶系列報告 Iterative algorithm for solving a class of convex feasibility problem

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