연세대학교 전기전자공학부
사이트맵
research achievements
연구실적
line
line
사업계획서
자료실
테크플러스링크
세미나 교과/세미나 > 세미나
 
제목 세미나 (01/04) Analysis and Optimization of Joint Caching and Multicasting in Large-scale Cache-enabled Wireless Networks
작성자 최고관리자 작성일 2017-01-04 11:22 조회수 31
< BK21 플러스 BEST 정보기술 사업단 세미나 개최 안내 >
 
개최일시 : 2017 01 04요일 15:00 ~ 17:00
개최장소 : 2공학관 B001
세미나 제목 : Analysis and Optimization of Joint Caching and Multicasting in Large-scale Cache-enabled Wireless Networks
발표초록 : Caching and multicasting at base stations are two promising approaches to support massive content delivery over wireless networks. However, existing analysis and designs do not fully explore and exploit the potential advantages of the two approaches. In this talk, I will present analysis and optimization of joint caching and multicasting in large-scale cache-enabled wireless networks. In the first part of this talk, I will focus on large-scale cache-enabled single-tier wireless networks. First, I will present a random caching design and a corresponding multicasting design for efficient content delivery. I will show tractable expressions for the successful transmission probability in the general region and the high signal-to-noise ratio (SNR) and user density region. Then, I will discuss the successful transmission probability maximization, which is a very complex non-convex problem in general. I will present an iterative numerical algorithm to obtain a local optimal solution in the general region and an asymptotically optimal solution in the asymptotic region. In the second part of this talk, I will focus on large-scale cache-enabled heterogeneous wireless networks (HetNets) with backhaul constraints. First, I will present a hybrid caching design and a corresponding multicasting design, to support massive content delivery and alleviate the backhaul requirement in HetNets. I will show tractable expressions for the successful transmission probability in the general region as well as the high SNR and user density region. Then, I will discuss the successful transmission probability maximization, which is a very challenging mixed discrete-continuous optimization problem. I will present a near optimal solution with superior performance and manageable complexity. The analysis and optimization results in the two parts provide valuable design insights for practical cache-enabled wireless networks.
 
강연자 성함&직함 / 소속 :  Ying Cui 교수 / Shanghai Jiao Tong University
초청자 : 전기전자공학과 교수 홍대식
line
prev up 세미나 (01/09) Tractable SIR and Rate Analysis in a Large-Scale Network 2017.01.04
line
prev up 세미나 (01/09) Toward ultra-efficient computing on chip: multi-level approach and design examples 2016.12.27
line
목록