X-Band UAV-enabled Integrated Sensing and Communications for Vehicular Networks

2026-06-03

AI Summary

This study addresses the time resource allocation problem in X-band unmanned aerial vehicle (UAV)-based integrated sensing and communication (ISaC) systems for vehicular networks. Under constraints of minimum communication rate and sensing reliability, the authors develop a joint optimization framework that incorporates single- and double-shadowing channel models, channel fading, and practical UAV operational limitations. They propose an adaptive time allocation mechanism that, for the first time in X-band UAV-ISaC systems, jointly models shadowing effects and the sensing–communication trade-off. Leveraging optimization theory, an efficient algorithm is devised to solve the resulting problem. Simulation results demonstrate that the proposed approach dynamically adjusts resource allocation based on channel conditions and target distance, significantly enhancing sensing reliability while maintaining communication performance, thereby proving suitable for mobile scenarios such as intelligent transportation systems.

Abstract

Uncrewed aerial vehicles (UAVs) are increasingly considered as aerial platforms capable of providing both sensing and communication services, representing a promising paradigm for intelligent transportation systems. This paper investigates the optimal time allocation for a UAV-enabled integrated sensing and communication (ISaC) system operating in the X-band for vehicular networks. We analyze the trade-off between sensing accuracy and communication performance under practical UAV constraints and fading effects, considering both single-shadowing and double-shadowing channel models. An optimization framework is developed to allocate time between sensing and communication while guaranteeing minimum communication rates and sufficient sensing reliability. Simulation results demonstrate adaptive time allocation strategies, highlighting how UAV-to-ground channel conditions and target distances influence the balance between sensing and communication in smart mobility scenarios.

Problem

• Integrated Sensing and Communications
• UAV
• Vehicular Networks
• Time Allocation
• X-band

Innovation

• Integrated Sensing and Communications
• UAV
• X-band
• Time Allocation Optimization
• Vehicular Networks