报告人：陈俊挺，香港中文大学（深圳） 未来智联网络研究院
讲座题目：Radio Maps for Wireless Communications and Localization
地点：无线谷A1号楼1306
时间：2023.11.17（周五），10:00-11:00
摘要：
How to enhance the intelligence for wireless communication networks? One promising direction is to fuse more environmental information to the network, such as building radio maps. Radio map is a data model that describes the wireless communication quality between any transmitter and receiver location pair. The technology has been successfully used for network planning, spectrum management, and fingerprint localization for over 20 years. However, conventional radio map techniques were limited to the case where the transmitter locations are fixed and the maps are usually 2-D by varying the horizontal receiver location only. Such a radio map is blind to the actual geographic environment, limiting the choice of control actions for adapting the network to the environment. However, allowing the transmitter location to vary is very challenging, because it effectively raises the radio map dimension from 2-D to 6-D. Consequently, classical methods for radio map sensing and construction will fail due to the exponentially increasing cost for collecting huge amount of measurement data.
In this talk, we start from classical applications of radio maps and the approaches to build them. Then, we explore two recent research directions: First, we establish new models and methods for sensing and constructing a 6-D radio map and a hidden environment map simultaneously; the environment map describes locations and shapes of buildings and vegetation in the neighborhood of the communication network. Second, we develop sparse signal processing techniques to construct a 2-D radio map from small samples, and demonstrate its advantage in received-signal-strength (RSS) based localization in harsh environment.
个人简介：
陈俊挺，博士，现任香港中文大学(深圳)理工学院助理教授，校长青年学者。他于2009年取得南京大学电子科学与技术学士学位，2015年获香港科技大学电子及计算机工程博士学位。在加入香港中文大学（深圳）以前，从2015至2019年，他先后在法国欧洲通信研究院（EURECOM）、南加利福尼亚大学担任博士后研究员，从事5G通信相关研究，从2014至2015年，他在麻省理工学院访问，从事超宽带室内定位研究。他在通信及信号处理领域国际顶级期刊会议上，发表论文60余篇，其中在博士与博士后期间以第一作者身份，发表JCR一区期刊论文11篇。他在多个国际会议上担任技术委员会委员、分会主席；他长期担任信号处理、通信领域顶尖学术期刊审稿人。在科技成果转化方面，他贡献了一项美国专利（已授权）、3项欧盟专利、8项中国专利（7项已授权）。他被评为2018年IEEE Wireless Communication Letters最佳审稿人荣誉，入选第十五批国家海外高层次人才计划（青年）、入选“珠江人才计划”青年拔尖人才。他的科研成果获得2022年无线与光通信会议WOCC“高锟最佳论文”奖。他的研究兴趣集中在无线通信与定位中的信号处理、优化与机器学习问题，尤其关注频谱地图、低空通信、MIMO通信等技术。
