Joint Maneuver and Beamforming Design for UAV-Enabled Integrated Sensing and Communication
By Zhonghao Lyu, Guangxu Zhu, Jie Xu. IEEE Transactions on Wireless Communications, 2021
326 citations recorded by the source corpus.
This paper studies the unmanned aerial vehicle (UAV)-enabled integrated sensing and communication (ISAC), in which UAVs are dispatched as aerial dual-functional access points (APs) that can exploit the UAV maneuver control and strong line-of-sight (LoS) air-to-ground (A2G) links for efficient communication and sensing. In particular, we consider that one UAV-AP, equipped with a vertically placed uniform linear array (ULA), sends combined information and sensing signals to communicate with multiple users and at the same time sense potential targets at interested areas on the ground. Under this setup, we consider two scenarios with quasi-stationary and fully mobile UAVs, in which the UAV is deployed at an optimizable location over the whole ISAC mission period and can fly over different locations during the ISAC mission period, respectively. For the two scenarios, our objective is to jointly design the UAV maneuver (deployment location or flight trajectory) and the transmit beamforming, for maximizing the weighted sum-rate throughput of communication users, while ensuring the sensing beampattern gain requirements, subject to the transmit power and flight constraints. However, due to the ULA consideration at the UAV, the two formulated problems are highly non-convex and very difficult to be optimally solved, as the UAV’s location/trajectory variables are involved on the exponent parts of each entry in the steering vectors, and are closely coupled with the transmit beamforming vectors. To tackle this issue, we propose efficient algorithms to find their suboptimal but high-quality solutions, by using various techniques from convex and non-convex optimization. Finally, numerical results are provided to validate the superiority of our proposed designs as compared to various benchmark schemes with heuristic maneuver designs. It is shown that the joint maneuver and transmit beamforming design efficiently balances the inherent tradeoff between sensing and communication with regards to different beampattern gain thresholds.
Subfields: Aerospace Engineering
View Paper: https://www.semanticscholar.org/paper/eb4f21a9c8a2cdf7fc0466e018913a6d318b43ca
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In Aerospace Engineering
Citations in the corpus
- Full-Duplex Communication for ISAC: Joint Beamforming and Power Optimization (2022, methodology): “By imposing the constraint of transmit beampattern gain for sensing, the problems of communication spectral efficiency maximization [12] and energy efficiency maximization [13] were addressed for ISAC.”
- Throughput Maximization for UAV-Enabled Integrated Periodic Sensing and Communication (2022, background): “As compared to traditional ISAC considered in [29], which always forces the UAV to perform sensing tasks and provide communication service at the same time, our proposed scheme is more general and offers more flexibility to balance between”
- UAV-Enabled Integrated Sensing and Communication: Opportunities and Challenges (2022, background): “this issue, in [12], a trust region-based algorithm to jointly”