Detecting Unauthorized Drones with Cell-Free Integrated Sensing and Communication
Journal:
arXiv
Published Date:
Jan 25, 2025
Abstract
Integrated sensing and communication (ISAC) boosts network efficiency by
using existing resources for diverse sensing applications. In this work, we
propose a cell-free massive MIMO (multiple-input multiple-output)-ISAC
framework to detect unauthorized drones while simultaneously ensuring
communication requirements. We develop a detector to identify passive aerial
targets by analyzing signals from distributed access points (APs). In addition
to the precision of the sensing, timeliness of the sensing information is also
crucial due to the risk of drones leaving the area before the sensing procedure
is finished. We introduce the age of sensing (AoS) and sensing coverage as our
sensing performance metrics and propose a joint sensing blocklength and power
optimization algorithm to minimize AoS and maximize sensing coverage while
meeting communication requirements. Moreover, we propose an adaptive weight
selection algorithm based on concave-convex procedure to balance the inherent
trade-off between AoS and sensing coverage. Our numerical results show that
increasing the communication requirements would significantly reduce both the
sensing coverage and the timeliness of the sensing. Furthermore, the proposed
adaptive weight selection algorithm can provide high sensing coverage and
reduce the AoS by 45% compared to the fixed weights, demonstrating efficient
utilization of both power and sensing blocklength.
