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关于信通系李�、李荣鹏、钟昱学术报告的通知

发布日期 :2018-03-30    阅读次数 :1058
时间:2018年3月30日下午13:30-16:30
地点:玉泉校区信电楼215会议室
主讲人:李�、李荣鹏、钟昱
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Title 1: Cooperative Multi-Sender Index Coding for Wireless Broadcast Networks

Speaker: Dr. Li Min

Abstract: Index coding addresses efficient broadcast problems where multiple receivers each wish to decode some messages from a common channel, and they each know a subset of messages a priori. Originally motivated from satellite communications, the index-coding problem is shown to have rich connections with network coding, coded caching, distributed storage and topological interference management in wireless communications. Most of prior works focused on the single-sender broadcast setup and developed efficient index-coding schemes to minimize the total number of transmissions needed to fulfill all receivers' demands. In this seminar, I will focus on a multi-sender broadcast network, in which data packets are distributed across multiple senders. A novel cooperative multi-sender index coding is proposed and is shown to generally outperform other non-cooperative schemes in recent works. The cooperative scheme proposed is the key to achieve optimality for a number of index-coding instances.

 

 

Title 2: 无线大数据使能的智能蜂窝网研究

Speaker: 李荣鹏博士

Abstract:下一代(5G)移动通信致力于成为全球信息通讯产业的核心基础设施和发展原动力,但在设计运行维护方面仍面临着不少挑战。另一方面,业务接入、传输、服务过程中产生了海量数据,这些珍贵数据中蕴含丰富的用户群体行为、通信网络资源信息。因此,无线大数据的研究,可以为业务预测和资源决策提供重要参考,也是网络性能分析和优化的重要基石。本次报告将主要介绍本人在无线大数据使能的智能蜂窝网研究方面的工作,包括无线业务大数据的建模与预测、蜂窝基站大数据的建模与网络性能分析、超蜂窝网络架构下智能化基站工作管理等。

 

Title 3: Inversion-Friendly Modelling for Inverse Scattering Problems with Waves & Fields
Speaker: Dr. Zhong Yu
Abstract: As a representative of nonlinear and ill-posed problems that concern many important inspection/imaging applications, inverse scattering problems (ISPs) are of great interests in academic researches. Nevertheless, due to the intrinsic ill-posedness and non-linearity, the conventional computational methods are rather inefficient, especially when handling problems with data deficiency or with strong wave/fields interactions. In this talk, we will mainly discuss our lately contributions in computational methods for ISPs, with special emphases on the inversion-friendly modelling that can effectively handle these two major difficulties in ISPs. To tackle the ill-posedness, we impose proper constraints in the numerical models, leading to a new type of modelling-based regularization methods. For non-linearity, novel numerical models are derived from the fundamental physical models so as to cope with the highly nonlinear problems that the fundamental models cannot handle. Merging the efforts of physical modelling, signal processing and mathematical analysis, we will show the efficiency of solving the ISPs can be substantially increased.