題目:Massive Random Access for 5G and Beyond: An Optimization Perspective
內容簡介: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.
報告人:中國科學院數學與系統科學研究院劉亞鋒副研究員
報告人簡介:國家基金優秀青年基金項目獲得者。2007年畢業于西安電子科技大學理學院數學系,2012年在中國科學院數學與系統科學研究院獲得博士學位(導師:戴彧虹研究員);博士期間,受中國科學院數學與系統科學研究院資助訪問明尼蘇達大學一年(合作導師:羅智泉教授)。畢業后,他一直在中國科學院數學與系統科學研究院計算數學所工作,2018年晉升為數學與系統科學研究院副研究員。他的主要研究興趣是最優化理論與算法及其在信號處理和無線通信等領域中的應用,已在Mathematical Programming, SIAM Journal on Optimization, Mathematics of Operations Research等優化期刊以及 IEEE Transactions on Signal Processing, IEEE Journal on Selected Areas in Communications, IEEE Transactions on Wireless Communications, IEEE Transactions on Information Theory等IEEE交叉領域期刊發表論文四十余篇。曾獲2011年國際通信大會“最佳論文獎”(由IEEE通信學會頒發),2015年WiOpt (International Symposium on Modeling and Optimization in Mobile, Ad Hoc and Wireless Networks)“最佳學生論文獎”,2018年數學與系統科學研究院“陳景潤未來之星”,2018年中國運籌學會“青年科技獎”,2020年IEEE通信學會亞太地區杰出青年學者獎(2020 IEEE ComSoc Asia-Pacific Outstanding Young Researcher Award)等。他目前擔任《IEEE Transactions on Wireless Communications》、《IEEE Signal Processing Letters》和《Journal of Global Optimization》期刊的編委。他是IEEE信號處理學會SPCOM(Signal Processing for Communications and Networking)的技術委員會成員(Technical Committee)、中國運籌學會副秘書長、中國運籌學會數學規劃分會副秘書長。
時間:2021年1月7日(周四)下午14:30~16:30
地點:騰訊會議在線講座 ID:629 268 467
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