Multi-UAV Enabled Integrated Sensing and Wireless Powered Communication: A Robust Multi-Objective Approach

• Main Authors: Rezaei, Omid, Naghsh, Mohammad Mahdi, Karbasi, Seyed Mohammad, Nayebi, Mohammad Mahdi
• Format: Journal Article
• Language: English
• Published: 26-07-2023
• DOI: 10.48550/arxiv.2307.14299

In this paper, we consider an integrated sensing and communication (ISAC)
system with wireless power transfer (WPT) where multiple unmanned aerial
vehicle (UAV)-based radars serve multiple clusters of energy-limited
communication users in addition to their sensing functionality. In this
architecture, the radars sense the environment in phase 1 (namely sensing
phase) and meanwhile, the communications users (nodes) harvest and store the
energy from the radar transmit signals. The stored energy is then used for
information transmission from the nodes to UAVs in phase 2, i.e., uplink phase.
Performance of the radar systems depends on the transmit signals as well as the
receive filters; the energy of the transmit signals also affects the
communication network because it serves as the source of uplink powers.
Therefore, we cast a multi-objective design problem addressing performance of
both radar and communication systems via optimizing UAV trajectories, radar
transmit waveforms, radar receive filters, time scheduling and uplink powers.
The design problem is further formulated as a robust non-convex optimization
problem taking into account the the user location uncertainty. Hence, we devise
a method based on alternating optimization followed by concepts of fractional
programming, S-procedure, and tricky majorization-minimization (MM) technique
to tackle it. Numerical examples illustrate the effectiveness of the proposed
method for different scenarios.