报告题目：多智体反馈神经网络驱动的智能无线通信
报告人：杨旸（教授）
主持人: 王昆仑（研究员）
报告时间：2021年11月9日（14:00-16:00）
报告地点：信息楼魔方厅
报告摘要：
Feedback mechanism has been widely used in wireless communication such as channel equalization and resource allocation. In recent years, deep learning (DL) has made great progress in the field of wireless communication. There is now some work that attempts to introduce plain feedback mechanisms into DL algorithm to solve wireless communication problems. However, the improvement of plain feedback DL methods is limited in complex situations due to those methods lack sufficient learning ability on feedback information. In this talk, we propose a Multi-Agent Feedback Enabled Neural Network (MAFENN) equalizer, which consists of a specific learnable feedback agent and two feed-forward agents. Three fully cooperative intelligent agents help the system improve the ability to remove wireless inter-symbol interference (ISI) in receiving ends. We further formulate it into a three-player Stackelberg Game, which helps us to optimize and train this model more efficiently. To verify the feasibility of our proposed MAFENN system and the Stackelberg Game optimization, we conduct a series of experiments to compare the symbol error rate (SER) performance of the MAFENN equalizer and the other methods which utilizes quadrature phase-shift keying (QPSK) modulation scheme. Our performance outperforms that of the other equalizers at different signal-to-noise ratio (SNR) settings for both linear and nonlinear channels.
报告人简介：
杨旸，博士，IEEE Fellow，现任上海科技大学信息科学与技术学院正教授；上海科技大学科道书院院长；上海雾计算实验室主任；鹏城实验室兼聘研究员；曾任中科院上海微系统与信息技术研究所研究员、福州物联网开放实验室首席技术官、中科院无线传感网与通信重点实验室主任、上海无线通信研究中心主任。研究领域包括5G/6G移动通信网络、物联网、多层次算力网络（边缘/雾/云计算），开放无线测试验证平台等。已申请了80多项科技发明专利，发表了300多篇学术论文，出版了六部中英文专著。
杨旸在1996年和1999年于东南大学无线电工程系获本科和硕士学位，2002年于香港中文大学信息工程系获博士学位。之后，留在香港中文大学信息工程系担任助理教授。2003年8月到英国布鲁奈尔大学（Brunel University）的电子与计算机工程系担任讲师。2005年3月到英国伦敦大学学院（UCL）电子与电气工程系担任讲师，后升职为高级讲师（终生教职）。目前，依托深圳市智慧城市科技发展集团有限公司，牵头承担了国家重点研发计划“物联网与智慧城市关键技术及示范”重点专项项目《面向大湾区智慧城市群的5G泛在物联基础设施建设及示范（2020-2023）》。
