- 会议号：201 267 409
Mobile users in future wireless networks face limited wireless resources such as data plan, computation capacity and energy storage. Given that some of these users may not be utilizing fully their wireless resources, device-to-device (D2D) resource sharing or simply buying from your neighbours is a promising approach to exploit users’ diversity in resource use and for pooling their resources locally. In this seminar, I first review the related work and practices for buying from your neighbours, where traditional resource allocation solutions are mostly centralized without considering users' local D2D connectivity constraints, becoming unscalable for large-scale sharing. I present a novel two-sided D2D trading market model that enables many locally connected users to trade resources. In addition, there may be market failure since selfish users will not truthfully report their actual valuations and quantities for buying or selling resources. To address these two key challenges, we first investigate the distributed resource allocation problem with D2D assignment constraints. Based on the greedy idea of maximum weighted matching, we propose a fast algorithm to achieve near-optimal average allocative efficiency. Then, we combine it with a new pricing mechanism that adjusts the final trading prices for buying and selling resources in a way that buyers and sellers are incentivized to truthfully report their valuations and available resource quantities. Unlike traditional double auctions with a central controller, this pricing mechanism is fully distributed in the sense that the final trading prices between each matched pair of users only depend on their own declarations and hence can be calculated locally. Finally, the repeated execution of the proposed D2D trading mechanism is analysed in multiple time rounds to determine the best trading frequency.
关于CIR2020：为助力人工智能的理论技术创新，促进群体智能相关领域的学术交流和技术进步，加强科研成果和知识共享，AIRS于2020年10月-11月举办“群体智能与多智能体交互”系列讲座（Crowd Intelligence Research Series Seminar 2020, 简称CIR2020）。系列讲座邀请九位群体智能领域的资深权威学者进行主题分享，其中有来自AIRS和香港中文大学（深圳）的教授与研究员，还有清华大学、北京大学、香港中文大学、上海交大等名校的学者。演讲内容涵盖群体智能领域多个主题，包括多机器人协同、移动边缘计算、强化学习、群体激励机制等。
Lingjie Duan is an Associate Professor in Engineering Systems and Design with the Singapore University of Technology and Design (SUTD). He received the Ph.D. degree from The Chinese University of Hong Kong in 2012. In 2011, he was a Visiting Scholar at University of California at Berkeley, CA, USA. His research interests include sharing economy, mobile crowdsourcing, wireless network optimization and economics. He is an Editor of IEEE Transactions on Wireless Communications. He was an Editor of IEEE Communications Surveys and Tutorials. He also served as a Guest Editor of the IEEE Journal on Selected Areas in Communications as well as IEEE Wireless Communications Magazine. He received the SUTD Excellence in Research Award in 2016 and the 10th IEEE ComSoc Asia-Pacific Outstanding Young Researcher Award in 2015.