研究生课程开设申请表
开课院(系、所): 信息科学与工程学院
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 | 移动通信系统仿真原理与方法 | |||||||||||
英文 | Principles and Methods of Simulation for Mobile Communications Systems | ||||||||||||
待分配课程编号 | DB004211 | 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 | 有 | 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(系) | 信息科学与工程学院 | 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 | 陈明 | 职称 | 教授 | |||||||||
chenming@seu.edu.cn | 网页地址 | ||||||||||||
授课语言 | 汉语 | 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 | 8 | 先修课程 | 通信原理 | ||||||||||
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 | 移动通信系统仿真原理与方法 | 陈明 | (自编讲义) 待出版 | ||||||||||
主要参考书 | Principles of Communication Systems Simulation with Wireless Applications | W. H. Tranter K. S. Shanmugan T. S. Rappaport K. L. Kosbar | Prentice Hall | 2003.11 | 第一版 | ||||||||
Simulation of Communication Systems | M. C. Jeruchin P. Balaban K. S. Shanmugan | Kluwer Academic Publishers | 2002 | 第二版 | |||||||||
Opnet Modeler与网络仿真 | 王文博 张金文 | 人民邮电出版社 | 2003.10 | 第一版 |
一、课程介绍(含教学目标、教学要求等)(300字以内)
在移动通信领域的研究中,对移动通信系统建立数学模型并用计算机来仿真通信系统的行为,以观察移动通信系统参量与性能之间的关系,几乎成了必不可少的基本科研技能。
从理论研究的角度来看,移动通信的研究目的常常是揭示出某些系统参量与系统性能之间的关系,但是由于移动通信系统的高度复杂性,使得研究人员无法从理论的角度给出性能与参量之间的函数关系,此时有必要采用计算机仿真的方法,来观察参量与性能之间的关系。此外,有时虽然能通过理论分析的方法给出参量与性能之间的关系,但仍要通过仿真的方法,来验证理论分析结果的可靠性。
从工程实现的角度来看,对理论上提出的系统设计方案或算法的有效性,需要通过计算机仿真的方法进行验证。这比用硬件系统验证,代价要小得多。
本课程的主要内容包括:移动通信系统的建模与仿真方法论、信号与系统的仿真、通信系统物理层仿真方法,以及移动通信系统MAC层仿真方法。
本课程的选修对象为通信与信息工程专业的硕士研究生或博士研究生。
课程特点:本课程在介绍移动通信系统仿真原理与方法的基础上,将结合移动通信系统中的典型仿真案例来进一步分析与讲解。
二、教学大纲(含章节目录):
移动通信系统的建模与仿真方法论
数学建模
仿真的原理
移动通信仿真的特点
随机变量与随机过程的仿真基础
Monte Carlo仿真与随机数的生成
常用仿真软件介绍(C/C++、Matlab、Opnet、NS2)
仿真案例
信号与系统的仿真
信号与系统在仿真中的表示
线性时变与时不变系统的建模与仿真
非线性系统的建模与仿真
仿真案例
通信系统物理层仿真方法
物理层仿真的基本特点
信道编解码的仿真
信号调制解调的仿真(QAM、OFDM、STBC等)
信道的仿真
最佳接收机的仿真(信道估计、信道均衡)
HARQ的仿真
仿真案例
移动通信系统MAC层仿真方法
MAC层仿真的基本特点
MAC层仿真的基本组成
网络模型
用户移动模型
环境模型(即信道模型)
天线模型
业务模型
物理层模型
无线资源分配算法
仿真案例
三、教学周历
周次 | 教学内容 | 教学方式 |
1 | 数学建模、仿真的原理、移动通信仿真的特点(陈明) | 讲课 |
2 | 常用仿真软件介绍、仿真案例(江彬) | 讲课+实验 |
3 | 信号与系统的仿真(李潇) | 讲课+实验 |
4 | 物理层仿真的基本特点(陈明) | 讲课 |
5 | 信道编解码的仿真、信号调制解调的仿真(李潇) | 讲课 |
6 | 信道的仿真、最佳接收机的仿真(江彬) | 讲课 |
7 | HARQ的仿真(李潇) | 讲课 |
8 | 物理层仿真案例(江彬) | 讲课+实验 |
9 | MAC层仿真的基本特点(陈明) | 讲课 |
10 | 网络模型、用户移动模型、环境模型(江彬) | 讲课 |
11 | 天线模型、业务模型、物理层模型(李潇) | 讲课 |
12 | 无线资源分配算法、MAC层仿真案例(江彬、李潇) | 讲课+实验 |
13 | (注:每周3小时课程,共12周,36学时) |
四、主讲教师简介:
陈明,男,1968年10月生。现为东南大学移动通信国家重点实验室教授、博士生导师。1990年、1993年和1996年于南京大学数学系分别获理学学士、硕士、博士学位。1996年7月毕业分配到东南大学无线电工程系移动通信国家重点实验室,从事无线通信领域的科研和教学工作至今。主要研究方向包括:①信息论与编码;②无线通信系统中的基带信号处理算法研究;③无线资源管理算法研究。在国内外学术期刊上发表科研论文50余篇;作为项目负责人,主持完成国家863科研项目、国际合作科研项目以及企业横向科研合作项目20余项。主讲本系硕士生的学位基础课程《随机过程》达20次,并编写出版了该课程的教材《通信与信息工程中的随机过程》;2002年该课程被评为“江苏省研究生创新工程优秀研究生课程”,2003年该课程被评为“江苏省研究生开放课程”。
江彬,男,1978年12月生。现为东南大学移动通信国家重点实验室讲师。2011年于 获博士学位,并留校任教。主要研究方向为未来移动通信理论与关键技术、宽带多载波传输与多址技术、空时无线通信理论与技术、现代信号处理及其在移动通信中应用。先后参与国家科技重大专项2项、国家863计划项目2项、国家自然科学基金项目2项、国家973计划课题1项、博士点基金项目1项。作为课题的核心研发人员,在MIMO信道估计技术及自适应传输理论与方法方面进行了深入研究并取得若干重要成果。至今已获授权和已申请国家发明专利12项、国际PCT专利3项、韩国发明专利1项。先后发表论文30余篇,其中IEEE Trans. Comm/IT/WC等国际核心期刊论文6篇。目前担任IEEE Trans. SP/COMM/WC等国际著名杂志及许多重要国际会议的审稿人。于2009年获教育部科技进步奖1项。
李潇,女,1982年11月生。现为东南大学移动通信国家重点实验室讲师。2010年11月于 获工学博士学位,并留校任教。主要研究方向为未来移动通信理论与关键技术、空时无线通信理论与技术、信息论。曾参与国家973计划、国家863计划、国家自然科学基金、博士点基金等科研项目。在无线MIMO系统的容量以及自适应传输理论研究方面做了大量的工作,多篇论文被国际和国内权威期刊IEEE Trans. IT/Comm/SP/WC/VT、中国科学及主要通信、信息论及信号处理国际会议发表与录用。目前担任IEEE Trans. Comm/WC/VT等国际著名杂志及许多重要国际会议的审稿人。
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 |
陈明 | 通信与信息系统 | chenming@seu.edu.cn | 东南大学移动通信国家重点实验室 | 210096 | |||
江彬 | 通信与信息系统 | bjiang@seu.edu.cn | 东南大学移动通信国家重点实验室 | 210096 | |||
李潇 | 通信与信息系统 | li_xiao@seu.edu.cn | 东南大学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: |
备注 |
Application Form For Opening Graduate Courses
School (Department/Institute):School of Information Science and Engineering
Course Type: New Open Reopen □ Rename □(Please tick in □, the same below)
Course Name | Chinese | 移动通信系统仿真原理与方法 | |||||||||||
English | Principles and Methods of Simulation for Mobile Communications Systems | ||||||||||||
Course Number | DB004211 | 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) | School of Information Science and Engineering | Term | spring | ||||||||||
Examination | A. □Paper(□Open-book □ Closed-book)B. □Oral C. □Paper-oral Combination D. OthersReport | ||||||||||||
Chief Lecturer | Name | Chen Ming | Professional Title | Prof | |||||||||
chenming@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 | Advanced mathematics, linear algebra | ||||||||||
Teaching Books | Textbook Title | Author | Publisher | Year of Publication | Edition Number | ||||||||
Main Textbook | Principles and Methods of Simulation for Mobile Communications Systems | Chen Ming | Teaching material | ||||||||||
Main Reference Books | Principles of Communication Systems Simulation with Wireless Applications | W. H. Tranter K. S. Shanmugan T. S. Rappaport K. L. Kosbar | Prentice Hall | 2003.11 | First | ||||||||
Simulation of Communication Systems | M. C. Jeruchin P. Balaban K. S. Shanmugan | Kluwer Academic Publishers | 2002 | Second | |||||||||
Opnet Modeler and Network Simulation | W. Wang J. Zhang | Post & Telecom Press | 2003.10 | First |
Course Introduction (including teaching goals and requirements) within 300 words:
In the research field of mobile communications, mathematically modeling and simulatingthe system with the aid of computer are the essential skills for the graduate students.
From the theory point of view, the purpose of mobile communication studies is to reveal the relationship between the system parameters and the system performance. However, with the even complex mobile communication systems,the compute-aided performance evaluation methods are more preferred than the conventional analytical ones. In addition, although sometimes the analytical results can be obtained, it still needs to be verified through computer simulation.
From the engineering point of view, the effectiveness of the theoretically proposed system design or algorithm can be verified by computer-aided simulations, which is more economical than the hardware verification.
Contents of the course: simulation and modeling methodology for mobile communication systems, simulation for signals and systems, simulation for physical layer, and simulation for MAC layer.
This elective course is suitable for both the master students and the doctoral students in communication and information systems.
Characteristic of the course: This course will firstly introduce the principles and methods of simulation for mobile communication systems, and then will further explain them with some typical cases in mobile communication systems.
Teaching Syllabus (including the content of chapters and sections. A sheet can be attached):
Stimulation and modeling methodology for mobile communication systems
Basic principles of modeling
Basic principles of simulation
The characters of mobile communication systems simulation
Fundamentals of random variables and random process for simulation
Monte Carlo simulation and generation of random numbers
Introduction of simulation software
Case study
Simulation for signals and systems
Representation of signals and systems in simulation
Modeling and simulation of linear time-invariant and time-varying systems
Modeling and simulation of nonlinear systems
Case study
Simulation for physical layer
The basic characters of physical layer simulation
Simulation for channel coding and decoding
Simulation for signal modulation and demodulation
Simulation for channels
Simulation for optimal receivers
Simulation for HARQ
Case study
Simulation for MAC layer
The basic characters of MAC layer simulation
The basic parts of MAC layer simulation
Network model
User model
Environment model
Antenna model
Traffic model
Physical layer model
Algorithms for radio resource allocation
Case study
Teaching Schedule:
Week | Course Content | Teaching Method |
1 | Basic principles of modeling and simulation, The characters of mobile communication systems simulation(Chen Ming) | lecture |
2 | Introduce of simulation software, Case study(Jiang Bin) | lecture + practice |
3 | Simulation for signals and systems(Li Xiao) | lecture + practice |
4 | The basic characters of physical layer simulation(Chen Ming) | lecture |
5 | Simulation for channel coding and decoding, Simulation for signal modulation and demodulation(Li Xiao) | lecture |
6 | Simulation for channels, Simulation for optimal receivers(Jiang Bin) | lecture |
7 | Simulation for HARQ(Li Xiao) | lecture |
8 | Case study for physical layer(Jiang Bin) | lecture |
9 | The basic characters of MAC layer simulation(Chen Ming) | lecture + practice |
10 | Network model, User model, Environment model(Jiang Bin) | lecture |
11 | Antenna model, Traffic model, Physical layer model(Li Xiao) | lecture |
12 | Algorithms for radio resource allocation, Case study for MAC layer(Jiang Bin、Li Xiao) | lecture+ practice |
13 | ||
14 | ||
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)
Brief Introduction of Chief lecturer:
Ming Chen was born in Oct. 1968. Now he is professor of National Mobile Communications Research Laboratory (NCRL) of Southeast University. Ming Chen received his B.Sc., M.Sc.and Ph.D. degrees from mathematics department of Nanjing University, Nanjing, China, in 1990, 1993 and 1996 respectively. In July 1996, he came to NCRL, going in for researches on wireless communications. His research fields include ① Information Theory and Coding; ② Baseband Digital Signal Processing for Wireless Communications; ③Radio Resource Management. He has published fifties journal papers. As leader of projects, he has completed twenties projects including Chinese 863 high technology development project, international cooperation projects, cooperation projects from enterprises. He has taught the mathematical course, Random Processes, for the M.S. students of communications for more than 20 times, and published the textbook for the course.
Bin Jiang received the B.S. and Ph.D. degrees in electrical engineering from Southeast University, Nanjing, China, in 2002 and 2011, respectively. After graduation, he joined the National Mobile Communications Research Laboratory, Southeast University, China in 2011. His current research interests lie in the area of signal processing and wireless communication for MIMO systems. Dr. Jiang received the Science and Technology Progress Awards of the State Education Ministry of China in 2009.
Xiao Li received the B.S. and Ph.D. degrees in electrical engineering from Southeast University, Nanjing, China, in 2003 and 2010, respectively. After graduation, he joined the National Mobile Communications Research Laboratory, Southeast University, China in 2010. Her research interests include information theory and eigenmode transmission strategies for single-user and multi-user MIMO systems.
Lecturer Information (include chief lecturer)
Lecturer | Discipline (major) | Office Phone Number | Home Phone Number | Mobile Phone Number | Address | Postcode | |
Ming Chen | Communication and Information System | chenming@seu.edu.cn | 210096 | ||||
Bin Jiang | Communication and Information System | bjiang@seu.edu.cn | 210096 | ||||
Xiao Li | Communication and Information System | li_xiao@seu.edu.cn | 210096 |