Social Welfare Maximization Auction in Joint Radar Communication Systems for Autonomous Vehicles

Abstract

Joint radar-communications (JRC) has been proposed recently for autonomous vehicles (AVs) to simultaneously perform radar sensing, e.g., detecting distant vehicles and pedestrian, and data transmission, e.g., to edge computing services, all on the same waves. However, due to the high AV density in urban area, the spectrum service provider (SSP) needs to allocate the spectrum resources optimally. In this paper, we consider the social welfare of the network which is defined as the total revenue of the SSP and the utilities of the AV users, and propose an auction-based algorithm to model the competition among the AV users to obtain the spectrum resources and maximize the social welfare. Since some AV users can have critical and useful information about each other (e.g., AV neighbours sharing traffic data), we consider the network effect in our proposed auction mechanism to incentivize more AV users to join the auction. The numerical results demonstrate the effectiveness of our proposed design compared to traditional schemes. © 2021 IEEE.