Joint Resource Allocation for Integrated Localization and Computing in Edge-intelligent Networks

In this paper, we investigate the issue of integrated localization and computing (ILAC) in edge-intelligent networks. By exploiting the dual-function radio frequency (RF) signals, we put forward a unified design framework for ILAC in edge-intelligent networks where the localization task and the computing task are conducted cooperatively by multiple user equipments (UEs) and multiple base stations (BSs). In particular, a joint resource allocation algorithm is proposed for ILAC by optimizing the available radio and computing resources with the goal of minimizing the weighted total energy consumption while ensuring the performance requirements of the localization task and the computing task. Finally, numerical results verify the effectiveness of the proposed algorithm over baseline ones.