学术报告-2017年4月21日上午-1319会议室

发布人: 王瀚颖发布时间: 2017-04-18 浏览次数:

学术报告1：Wi-Fi 网络中的经济学和 introduce the HKPFS workshop organized by CUHK
报告人：香港中文大学黄建伟教授
时间：2017年4月21日上午 9:30am
地点：无线谷1号楼 1319会议室

学术报告2： Frequency Reuse of Beam Allocation for Multiuser Massive MIMO Systems
报告人：肯特大学-王江舟教授
时间：2017年4月21日上午 10:30am
地点：无线谷1号楼 1319会议室

学术报告3：Asymptotic Rate Analysis of Large-Scale Distributed Antenna System (DAS): From Cellular DAS to Virtual-Cell based DAS
报告人：香港城市大学-代琳教授
时间：2017年4月21日下午 14:00am
地点：无线谷1号楼 1319会议室

Title: Wi-Fi 网络中的经济学和 introduce the HKPFS workshop organized by CUHK
Speaker: 黄建伟教授
Abstract:
Stable and high-quality Wi-Fi networks play an important role in supporting fast-growing wireless data demands. According to the forecast by the Cisco Visual Networking Index, global Wi-Fi networks will carry 54% of the smartphones traffic and 70% of the tablets traffic by 2019. Comparing with cellular networks, Wi-Fi network equipments are often low-cost, easy to install and manage, and can offer high transmission rates. However, the operation of large-scale Wi-Fi networks often faces several challenges, such as the limited coverage of each Wi-Fi access point and the customers' unwillingess to pay for public Wi-Fi access. In this talk, we will present several economic mechanisms to address these challenges. The first mechanism aims at achieving a large network coverage by incentivizing the sharing of private Wi-Fi hotspots. The second mechanism increases the Wi-Fi operator's revenue through an advertisement-sponsored differential Wi-Fi pricing scheme. Both mechanisms will encourage more investment and better utilization of the Wi-Fi networks.
In this talk, we will also introduce the Hong Kong PhD Fellowship Summer Workshop organized by the CUHK Faculty of Engineering, July10-14, 2017 (https://info5.erg.cuhk.edu.hk/phdsw/2017/about.html). We welcome top third-year undergraduate students and second-year master students to apply. The application deadline is April 24, 2017.

Title: Frequency Reuse of Beam Allocation for Multiuser Massive MIMO Systems
Speaker: Jiangzhou Wang (王江舟)
Abstract: Massive MIMO has become a promising technique to provide high data rate communication in 5G mobile systems, thanks to its ability of forming narrow and high-gain beams. However, there are some “worst-case” users who could suffer from strong inter-beam interference and thus experience low data rate. In this seminar, an adaptive frequency reuse scheme is proposed to improve the worst-case users’ data rates without sacrificing the sum data rate.

Title: Asymptotic Rate Analysis of Large-Scale Distributed Antenna System (DAS): From Cellular DAS to Virtual-Cell based DAS
Speaker: Lin Dai (代琳)
Abstract:
The distributed antenna system (DAS) has attracted considerable attention from both industry and academia, and gained increasing momentum especially with the popularity of the Cloud Radio Access Network (C-RAN). In contrast to the conventional cellular systems where antennas are co-located at the tower-mounted base station (BS) in each cell, in a DAS, many low-power remote antenna ports are geographically distributed over a large area and connected to a central processor by fiber. The appealing features of distributed antennas have made it a promising candidate for next-generation (5G) mobile communication systems.
For 5G mobile communication systems, a large amount of BS antennas are expected to be deployed to meet the ever increasing demand of high data rate. Extensive studies have been focused on the capacity analysis of cellular systems with large antenna arrays at BSs (popularly known as “massive MIMO”). If the BS antennas are distributed, on the other hand, how the capacity scales with the number of BS antennas is less understood. In this talk, I will introduce my recent work on the rate scaling laws of downlink large-scale cellular DASs. I will start from the single-cell case, and demonstrate that bounds are useful for analyzing the rate scaling behavior. A comparative study to the rate with co-located BS antennas reveals that although a higher scaling order can always be achieved with distributed BS antennas, the rate gains become more pronounced when an orthogonal precoding scheme is adopted. For the multi-cell case, I will further show that despite a higher average user rate, the cell-edge problem is indeed exacerbated if distributed BS antennas are used. To achieve more uniform rate performance among users, virtual cells should be adopted, which are formed in a user-centric manner. I will conclude the talk by discussing how to optimally choose the virtual cell size to maximize the average user rate of a virtual-cell based DAS.