报告题目:On the Interactions of Communication, Computing and Caching in
Cloud RAN under Two Timescales

广大师生:

报 告 人:唐建华 博士,韩国首尔大学助理教授

华南理工大学海内外优秀青年学者论坛旨在面向全球邀请青年才俊,围绕国际科学前沿、热点研究领域以及行业产业的技术问题等展开探讨和交流。希望通过这个平台,互相启迪、开拓视野,促进国际学术交流与合作。本次论坛的具体安排如下:

报告时间:4月4日(周三),15:30-16:30

报告题目:On the Interactions of Communication, Computing and Caching in
Cloud RAN under Two Timescale

报告地点:逸夫科学馆405

报 告 人:唐建华 博士(韩国首尔大学电子与计算机工程系)

主 持 人:官权升

报告时间:2017年10月20日上午10:00-11:00

电子与电信学院

报告地点:大学城校区B8附楼报告厅

2018年4月3日

皇家赌场68399,欢迎广大师生参加!

报告摘要:

软件学院

There is a trend that the functionalities of communication, computing,
and caching (CC&C) are merging together in the future networks.
Recently, this mergence is formed by the concept of cloud radio access
network (C-RAN) with caching as a service (CaaS). In this talk, we
dissect the interactions of CC&C in C-RAN with CaaS from two dimensions:
physical resource dimension and time dimension. In the physical resource
dimension, we identify how to segment the baseband unit (BBU) pool
resources (i.e. computation and storage) into different types of virtual
machines (VMs). In the time dimension, we address how the long-term
resource segmentation in the BBU pool impacts on the optimal short-time
radio resource allocation (e.g., transmit beamforming design) at the
remote radio heads. We formulate the problem as a stochastic
mixed-integer nonlinear programming (SMINLP) to minimize the system
cost. After a series of approximation, including sample average
approximation, successive convex approximation, and semidefinite
relaxation, the SMINLP is approximated as a global consensus problem.
The alternating direction method of multipliers (ADMM) is utilized to
obtain the solution in a distributed and parallel fashion. We also show
the simulation results to confirm that the proposed scheme is more
cost-saving than that without considering the integration of CC&C.

2017年10月16日

报告人简介:

报告摘要:

唐建华博士于2010年毕业于东北大学,获得工学学士,2015年毕业于新加坡南洋理工大学,获得博士学位。2015年3月-2016年10月在新加坡科技设计大学从事博士后研究。2016年12月至今,在韩国首尔大学担任研究型助理教授。他专注于云计算以及5G移动通信系统的研究,特别集中在将云计算应用到通信系统中。唐建华博士于2016年获得韩国政府颁发的高丽研究学者奖励,于2018年获得IEEE通信学会最佳青年论文奖提名。

There is a trend that the functionalities of communication, computing,
and caching (CC&C) are merging together in the future networks.
Recently, this mergence is formed by the concept of cloud radio access
network (C-RAN) with caching as a service (CaaS). In this talk, we
dissect the interactions of CC&C in C-RAN with CaaS from two dimensions:
physical resource dimension and time dimension. In the physical resource
dimension, we identify how to segment the baseband unit (BBU) pool
resources (i.e. computation and storage) into different types of virtual
machines (VMs). In the time dimension, we address how the long-term
resource segmentation in the BBU pool impacts on the optimal short-time
radio resource allocation (e.g., transmit beamforming design) at the
remote radio heads. We formulate the problem as a stochastic
mixed-integer nonlinear programming (SMINLP) to minimize the system
cost. After a series of approximation, including sample average
approximation, successive convex approximation, and semidefinite
relaxation, the SMINLP is approximated as a global consensus problem.
The alternating direction method of multipliers (ADMM) is utilized to
obtain the solution in a distributed and parallel fashion. We also show
the simulation results to confirm that the proposed scheme is more
cost-saving than that without considering the integration of CC&C.

附件:无

报告人简介:

唐建华博士于2010年毕业于东北大学,获得工学学士,2015年毕业于新加坡南洋理工大学,获得博士学位。2015年3月-2016年10月在新加坡科技设计大学从事博士后研究。2016年12月至今,在韩国首尔大学担任研究型助理教授。他专注于云计算以及5G移动通信系统的研究,特别集中在将云计算应用到通信系统中。近三年来,已发表(中科院SCI分区)二区以上期刊论文8篇,以及知名会议论文8篇(其中4篇为特邀论文)。唐建华博士于2016年获得韩国政府颁发的高丽研究学者奖励。

附件:无

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