返回列表 发布时间:2021-06-29

学术预告:电智学术论坛之电子和通信学科(第五期)

报告时间:202171日周四1430-17:00

报告地点:8A207


报告题目一:Model-based Deep Off-Grid Channel Estimation for Millimeter Wave Cellular Systems(刘开晖博士)

报告人简介:刘开晖,通信工程系博士,主要研究方向数学数据科学,特别是凸优化和非凸优化、 统计学习、 信号处理以及在无线通信和计算成像中的应用。

报告内容简介:In this talk, a model-based deep off-grid channel estimation algorithm is proposed in mmWave cellular systems, in which both the base station (BS) and mobile station (MS) gain directional beamforming by employing large antenna arrays. We consider the off-grid (OG) mmWave channel estimation and propose a deep network architecture for solving this problem, which is different from most existing work concerning the compressed sensing (CS)-based channel estimation.  First, the off-grid channel model is used to relieve the basis mismatch issue by exploiting first-order Taylor-series approximation of the array manifold taken on a fixed grid of both BS and MS \deleted {taken on a fixed grid}. Second, a new formulation of this off-grid channel estimation problem is solved by using a low computational complexity alternating direction method of multipliers (ADMM)-based algorithm, dubbed ADMM-OG algorithm. Third, the idea of algorithm unrolling guides us to design a deep network architecture ADMM-OGChannelNet corresponding to the ADMM-OG algorithm for the mmWave channel estimation \deleted{problem}. Based on the interpretability of this deep network architecture, the optimal parameters of this network can be learned without tuning them in a hand-crafted way. The Cram\'{e}r-Rao bound (CRB) of the off-grid channel model is derived for performance comparison as well. Finally, from the simulation results, we can verify that the ADMM-OGChannelNet has better estimation accuracy with relatively low computational complexity compared with the state-of-the-art algorithms.


告题目二:基于组合拍卖的Cybertwin-6G网络分布式资源交易机制设计(梁辉副教授)

报告人简介:梁辉,通信工程系副教授,主要从事通信系统分布式资源管理,利用优化理论、经济学博弈理论及机制设计理论,人工智能等多种理论方法,构建基于未来网络多智能体的资源自主交易平台,显著提升网络资源利用率。

报告内容简介:针对未来6G网络用户个性化需求,不完全信息环境下分布式多维资源联合分配问题,提出了一种基于渐进自适应用户选择环境的分布式组合拍卖方法解决网络孪生多方多维资源分配问题,显著提升以用户个性化需求为核心的通信、计算、存储等各类网络资源联合分配效率。


初审:李艳霞;复审:任斌;终审:胡耀华