Integrated Sensing, Communication and Computing of UAV Networks: Design and Optimization

Abstract

Integrated sensing, communication and computing (ISCC) is regarded as the evolution direction of future networks. This paper proposes a uncrewed aerial vehicle (UAV)-enabled ISCC network framework, which exploits the line-of-sight link advantages to accomplish both radar target sensing and terminal device (TD) computation simultaneously. We formulate a weighted optimization problem that aims to maximize the minimum TD computation bits and radar estimation information bits, by jointly designing the receive filters, TD transmit power, UAV transmit beamforming, and computation bits allocation. An alternating iterative algorithm is developed to obtain efficient suboptimal solutions. Numerical results demonstrate that the proposed algorithm effectively balances the tradeoff between computation and sensing objectives, and the priority can be flexibly changed by adjusting the weighting factor.