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DB004223-智能通信:基于深度学习的物理层设计

发布者:王源发布时间:2021-04-08浏览次数:13

研究生课程开设申请表

开课院(系、所): 免费送彩金白菜网

课程申请开设类型: 新开     重开□     更名□请在内打勾,下同

课程

名称

中文

智能通信:基于深度学习的物理层设计

英文

Intelligent Communications: Physical Layer Design Based on Deep Learning

待分配课程编号

DB004223

课程适用学位级别

博士

硕士

总学时

32

课内学时

32

学分

2

实践环节

用机小时

课程类别

公共基础     专业基础     专业必修     √专业选修

开课院()

免费送彩金白菜网

开课学期

春季

考核方式

A.笔试(开卷   闭卷)      B. 口试    

C.笔试与口试结合                 D.其他  研究报告一份         

课程负责人

教师

姓名

金石

职称

教授

e-mail

jinshi@seu.edu.cn

网页地址


授课语言

中文

课件地址


适用学科范围

通信与信息工程

所属一级学科名称

通信与信息系统

实验(案例)个数

0

先修课程

概率论、通信原理、数字通信

教学用书

教材名称

教材编者

出版社

出版年月

版次

主要教材

智能通信:基于深度学习的物理层设计

金石、温朝凯

科学出版社

2020-06-01

1

主要参考书

















一、课程介绍(含教学目标、教学条件等)300字以内)

在信息与通信工程领域的科学研究中,人工智能被引入无线通信系统的各个层面,以实现大幅度全部无线通信系统效能的愿景。因此对从事信息与通信工程领域的研究生来说,掌握智能通信中基于深度学习的物理层设计,包括其相关理论基础、通信模块设计以及算法实现等是一件很重要的事情。本课程的主要选修对象为信息与通信工程专业的博士研究生,感兴趣的硕士研究生也可以选修。

本课程的主要内容包括:绪论、神经网络的基础及进阶技巧、正交调制解调器基础理论、基于深度学习的正交调制解调器、人工智能辅助的OFDM接收机一、人工智能辅助的OFDM接收机二、CSI反馈基础理论、基于深度学习的CSI 反馈、序列检测器基础理论、基于深度学习的序列检测器、Turbo码译码基础理论和基于深度学习的Turbo码译码。


课程特点:本课程面向无线通信发展的最新进展,结合通信与信息工程中的具体问题,将人工智能与无线通信有机融合,搭配自编教材,提供给研究生最新的科研视野,着重培养研究生的原始创新力。


二、教学大纲(含章节目录):(可附页)


1、绪论

2、神经网络的基础及进阶技巧

3、正交调制解调器基础理论

4、基于深度学习的正交调制解调器

5、人工智能辅助的OFDM接收机一

6、人工智能辅助的OFDM接收机二

7CSI反馈基础理论

8、基于深度学习的CSI反馈

9、序列检测器基础理论

10、基于深度学习的序列检测器

11Turbo码译码基础理论

12、基于深度学习的Turbo码译码


三、教学周历

周次

教学内容

教学方式

 1

绪论

讲课

 2

神经网络的基础及进阶技巧

讲课

 3

正交调制解调器基础理论

讲课

 4

基于深度学习的正交调制解调器

讲课

 5

人工智能辅助的OFDM接收机一

讲课

 6

人工智能辅助的OFDM接收机二

讲课

 7

CSI反馈基础理论

讲课

 8

基于深度学习的CSI反馈

讲课

 9

序列检测器基础理论

讲课

 10

基于深度学习的序列检测器

讲课

 11

 Turbo码译码基础理论

讲课

 12

基于深度学习的Turbo码译码

讲课

 13

(注:每周3小时课程,共12周,36学时)


 14



 15



 16



 17



 18



注:1.以上一、二、三项内容将作为中文教学大纲,在研究生院中文网页上公布,四、五内容将保存在研究生院。2.开课学期为:春季、秋季或春秋季。3.授课语言为:汉语、英语或双语教学。4.适用学科范围为:公共,一级,二级,三级。5.实践环节为:实验、调研、研究报告等。6.教学方式为:讲课、讨论、实验等。7.学位课程考试必须是笔试。8.课件地址指在网络上已经有的课程课件地址。9.主讲教师简介主要为基本信息(出生年月、性别、学历学位、专业职称等)、研究方向、教学与科研成果,以100500字为宜。



四、主讲教师简介:

金石,男,生于197412月,2007年获跳槽彩金优惠活动的网站工学博士学位,同年留校任教。20076月至200910月,受英国工程与自然科学研究理事会资助,在英国伦敦大学学院从事博士后研究。现为跳槽彩金优惠活动的网站首席教授、博士生导师、研究生院常务副院长、长江学者计划特聘教授、国家自然科学基金杰出青年科学基金获得者、国家“万人计划”科技创新领军人才、江苏省特聘教授。长期围绕5G/6G移动通信理论与关键技术、物联网理论与关键技术、以及人工智能在移动通信中的应用等领域开展研究工作,与华为等先进企业保持长期密切的合作。牵头承担了国家自然科学基金重点项目/专项项目、国家自然科学杰出青年基金、“变革性技术”国家重点研发计划课题、国家自然科学基金优秀青年科学基金项目、科技部国际合作项目、国家科技重大专项课题等。共发表学术论文400余篇,授权国际/国家发明专利50余件,出版专著2部,教材1本。研究成果获省部级科学技术一等奖3项、二等奖1项、IEEE通信学会莱斯奖、IEEE信号处理学会最佳青年作者论文奖、China Communications最佳论文奖、Electronics Letters最佳论文奖、Journal of Communications and Information Networks最佳青年作者论文奖、以及十个国际重要学术会议最佳论文奖,20142020年连续入选爱思唯尔中国高被引学者,20192020年两次入选科睿唯安全球高被引学者。

五、任课教师信息(包括主讲教师):

任课

教师

学科

(专业)

办公

电话

住宅

电话

手机

电子邮件

通讯地址

邮政

编码

金石

通信与信息系统

 025-83790923



 jinshi@seu.edu.cn

跳槽彩金优惠活动的网站移动通信国家重点实验室

 210096


六、课程开设审批意见

所在院(系)

审 批 意 见



负责人:

日  期:

所在学位评定分

委员会审批意见



分委员会主席:

日  期:

研究生院审批意见



负责人:

日  期:



说明:1.研究生课程重开、更名申请也采用此表。表格下载:http: /seugs.seu.edu.cn/down/1.asp

 2.此表一式三份,交研究生院、院(系)和自留各一份,同时提交电子文档交研究生院。


Application Form For Opening Graduate Courses

School (Department/Institute)

Course Type: New Open   Reopen □   Rename □Please tick in □, the same below

Course Name

Chinese

智能通信:基于深度学习的物理层设计

English

Intelligent Communications: Physical Layer Design Based on Deep Learning

Course Number


Type of Degree

Ph. D

Master

Total Credit Hours

32

In Class Credit Hours

32

Credit

 2

Practice

0

Computer-using Hours

0

Course Type

□Public Fundamental    □Major Fundamental    □Major CompulsoryMajor Elective

School (Department)

Information School

Term

spring

Examination

A. □PaperOpen-book   □ Closed-book)  B. □Oral    

C. □Paper-oral Combination                       D.  Others       Report                  

Chief

Lecturer

Name

Shi Jin

Professional Title

Professor

E-mail

jinshi@seu.edu.cn

Website


Teaching Language used in Course

Chinese

Teaching Material Website


 Applicable Range of Discipline

Communications and Information engineering

Name of First-Class Discipline

Communications and Information system

Number of Experiment

0

Preliminary Courses

Probability theory, communication principle, digital communication

Teaching Books

Textbook Title

Author

Publisher

Year of Publication

Edition Number

Main Textbook

Intelligent Communications: Physical Layer Design Based on Deep Learning

Shi Jin, Chao-Kai Wen

Science Press

2020-06-01

1

Main Reference Books

















  1. Course Introduction (including teaching goals and requirements) within 300 words:


In the research of communication and information engineering, artificial intelligence is introduced into various aspects of wireless communication systems to realize the vision of significantly improving the effectiveness of wireless communication systems. Therefore, it is important for PH.D. students engaged in the field of communication and information engineering to master the deep learning-based physical layer design in intelligent communication, including its related theoretical foundation, communication module design, and algorithm implementation. The main target of this course is for PH.D. students in communication and information engineering, and interested master students can also take it.

The contents of the course contains: Introduction, Fundamentals of Neural Networks and Advanced Techniques, Basic Theory of Orthogonal Modem, Deep Learning-Based Orthogonal Modem, Artificial Intelligence Assisted OFDM Receiver I, Artificial Intelligence Assisted OFDM Receiver II, Basic Theory of CSI Feedback, Deep Learning-Based CSI Feedback, Basic Theory of Sequence Detector, Deep Learning-Based Sequence Detector, Basic Theory of Turbo Code Decoding and Deep Learning Based Turbo Code Decoding.


Characteristic of the course: Facing the latest progress in the development of wireless communication, combined with the specific problems in communication and information engineering, this course organically integrates artificial intelligence and wireless communication with self-compiled teaching materials to provide graduate students with the latest vision of scientific research. It focus on cultivating the original innovation of graduate students.


  1. Teaching Syllabus (including the content of chapters and sections. A sheet can be attached):



    1. Introduction

    2. Basic and advanced techniques of neural network

    3. Fundamental theory of orthogonal modem

    4. Deep learning-based orthogonal modem

    5. Artificial intelligence-assisted OFDM receiver I

    6. Artificial intelligence-assisted OFDM receiver II

    7. Fundamental theory of CSI feedback

    8. Deep learning-based CSI feedback

    9. Fundamental theory of sequence detector

    10. Deep learning-based sequence detector

    11. Fundamental theory of turbo code decoding

    12. Deep learning-based turbo code decoding

Teaching Schedule:

 Week

 Course Content

 Teaching Method

 1

Introduction

 lecture

 2

Basic and advanced techniques of neural network

 lecture

 3

Fundamental theory of orthogonal modem

 lecture

 4

Deep learning-based orthogonal modem

 lecture

 5

Artificial intelligence-assisted OFDM receiver I

 lecture

 6

Artificial intelligence-assisted OFDM receiver II

 lecture

 7

Fundamental theory of CSI feedback

 lecture

 8

Deep learning-based CSI feedback

 lecture

 9

Fundamental theory of sequence detector

 lecture

 10

Deep learning-based sequence detector

 lecture

 11

Fundamental theory of turbo code decoding

 lecture

 12

Deep learning-based turbo code decoding

 lecture

 13

Topic discussion

 seminar

 14

Topic discussion

 seminar

 15



 16



 17



 18



 Note: 1.Above one, two, and three items are used as teaching Syllabus in Chinese and announced on the Chinese website of Graduate School. The four and five items are preserved in Graduate School.

 2. Course terms: Spring, Autumn , and Spring-Autumn term.   

 3. The teaching languages for courses: Chinese, English or Chinese-English.  

 4. Applicable range of discipline: public, first-class discipline, second-class discipline, and third-class discipline.  

 5. Practice includes: experiment, investigation, research report, etc.  

 6. Teaching methods: lecture, seminar, practice, etc.  

 7. Examination for degree courses must be in paper.  

 8. Teaching material websites are those which have already been announced.  

 9. Brief introduction of chief lecturer should include: personal information (date of birth, gender, degree achieved, professional title), research direction, teaching and research achievements. (within 100-500 words)  


  1. Brief Introduction of Chief lecturer:


Shi Jin, male, born in December 1974, received a Ph.D. degree in engineering from Southeast University in 2007 and stayed to teach in the same year. From June 2007 to October 2009, he engaged in postdoctoral research at University College London, funded by the Engineering and Physical Sciences Research Council. Now he is the chief professor and doctoral supervisor of Southeast University, executive vice dean of graduate school, special professor of Changjiang Scholars Program, winner of outstanding youth science fund of National Natural Science Foundation, leader of scientific and technological innovation of national "Ten Thousand talents Plan" and special professor of Jiangsu Province. He has been focusing on 5G/6G mobile communication theory and key technologies, Internet of things theory and key technologies, as well as the application of artificial intelligence in mobile communications to carry out research works, and maintaining long-term close cooperation with Huawei and other advanced enterprises. He has taken the lead in undertaking the key projects / special projects of the National Natural Science Foundation, the National Natural Science Outstanding Youth Fund, the National key Research and Development Program of "Transformational technology", and the Outstanding Youth Science Foundation of the National Natural Science Fund, international cooperation projects of the Ministry of Science and Technology, major national science and technology projects and so on. A total of more than 400 academic papers have been published, more than 50 international / national invention patents have been authorized, 2 monographs and 1 textbook have been published as well. His research achievements have won 3 provincial and ministerial science and technology prizes, 1 second prize, the 2011 IEEE Communications Society Stephen O. Rice Prize Paper Award in the field of communication theory, the 2012 Young Author Best Paper Award by the IEEE Signal Processing Society, China Communications Best Paper Award, Electronics Letters Best Paper Award, the Young Author Best Paper Award by Journal of Communications and Information Networks, and best paper awards of 10 international important academic conferences. He also has been continuously selected into Elsevier China High Cited Scholars from 2014 to 2020 and was selected into Clarivate Analytics Global High Cited Scholars in 2019 and 2020.


  1. Lecturer Information (include chief lecturer)


Lecturer

 Discipline

 (major)

 Office

Phone Number

Home Phone Number

Mobile Phone Number

 Email

Address

Postcode

 Shi Jin

 Communicaitons and information




 jinshi@seu.edu.cn

 National Mobile Communications Research Laboratory of Southeast University

 210096


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