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：为助力人为智能的理论技术创新，，，，，，推进群体智能有关领域的学术互换和技术进取，，，，，，加强科研成就和知识共享，，，，，，z6首页于2020年10月-11月进杏装群体智能与多智能体交互”系列讲座（Crowd Intelligence Research Series Seminar 2020, 简称CIR2020）。。。。。。系列讲座约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z6首页和香港中文大学（丽江）的教授与钻研员，，，，，，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，，，，，，蕴含多机械人协同、移动边缘推算、强化进建、群体激励机造等。。。。。。