应陕西省111 “交通-能源-信息”多网融合与自洽技术学科创新引智基地邀请，马德里卡洛斯三世大学/伊斯兰大学的MdSipon Miah教授将于2024年4月17日至24日到访，来访期间将于长安大学渭水校区交通运输及智能装备创新平台3号楼能源与电气工程学院6楼612会议室线下为广大同学们讲授“与国际学者共建高水平研究生课程”—— Advanced Information Theory on Power Ratio and Convex Optimization《先进信息理论中的功率比与凸优化问题》。真诚欢迎老师和各位同学前来体验世界一流大学的授课方式，并与名师当场互动交流。

课程主要安排：

课程内容摘要：

Lectures 1-2:  Comparative Performance Analysis of Peak to Average Power Ratio in OFDM, SLM and PTS Systems

Intro: Orthogonal frequency division multiplexing (OFDM) is one of the widely used schemes in communication due to the fact that it has low complexity, higher spectral efficiency, and many other advantages over other modulation schemes. However, the peak-to-average-power ratio (PAPR) issue of OFDM is one of the main disadvantages of this scheme that is making it not suitable for future use in mission-critical devices or other applications. Therefore, to resolve this issue, we propose to discuss the comparison of selective mapping (SLM) and partial transmit sequences (PTS) when they are implemented on an OFDM system. We discuss the complexity of the OFDM system with the SLM and PTS when the number of subcarriers and modulation orders are changed. The simulation results show that the SLM and PTS systems achieve a reduction of the values of the PAPR in the OFDM system regardless of the number of subcarriers and modulation order.

Lectures 3-4:  Convex Optimization Techniques in Wireless Transmission Systems

Intro: Wireless Transmission systems are implemented based on algorithms and theories like information theory, coding theory, decision/estimation theory, mathematical modeling, optimization theory, and so on. Optimization techniques play an important role in many practical systems such as science, engineering, economics, statistics and medicine. The purpose of optimization techniques is to find the best possible value of the objective function. Optimization problems are composed of three elements: objective function, constraints, and optimization variables. Linear programming is a highly useful tool of analysis and optimization. Optimization problems are categorized as convex optimization problems or non‐convex optimization problems. Convex optimization covers convexity analysis, modeling and problem formulation, optimization, and numerical analysis. The gradient descent method is one of the most widely used optimization methods because it is simple and suitable for large‐scale problems, and also works very well with few assumptions.

主讲人简介：

Md. Sipon Miah教授曾在多个国际知名实验室担任科学研究员，并在爱尔兰国立大学担任导师。在国外各大期刊以第一作者或合作通讯作者发表学术论文约90篇、并被国际同行大量引用；多次在国际学术会议上作大会报告。2023年受邀作为特邀嘉宾出席了由长安大学协办的2023智能交通系统与智慧城市国际会议并做专题演讲，先后担任人工智能与制造国际会议特约编委、24个国际期刊以及会议审稿者，并担任多个国际会议的TPC委员。Miah教授曾在伊斯兰大学获得信息和通信技术的博士研究生学位并荣获哈迪曼奖学金；并在爱尔兰国立大学戈尔韦分校(NUIG)获得计算机科学的第二博士学位， 他是西班牙马德里卡洛斯三世大学(UC3M)信号理论与通信系的资深研究人员和伊斯兰大学终身教授。2016年，他在NUIG获得了著名的Hardiman奖学金，后在UC3M从事博士后研究期间获得著名的30博士后基金。主要研究领域包括能量检测、无线传感器网络、物联网（loT）、工业物联网(lloT)、基于认知无线电的车联技术、云计算与数据安全、基于机器学习或人工智能的新技术应用等多个热门领域与前沿学科。