Unauthorized UAV Countermeasure for Low-Altitude Economy: Joint Communications and Jamming based on MIMO Cellular Systems
Zhuoran Li, Zhen Gao, Kuiyu Wang, Yikun Mei, Chunli Zhu, Lei Chen,, Xiaomei Wu, Dusit Niyato

TL;DR
This paper proposes a joint communication and jamming scheme using MIMO cellular systems to counter unauthorized UAVs, employing semi-definite relaxation for tractable design and validating effectiveness through extensive simulations.
Contribution
It introduces a novel joint beamforming design for simultaneous communication and UAV jamming based on dual-functional MIMO systems, with a new constraint ensuring solution optimality.
Findings
The proposed scheme effectively counters UAVs when user and UAV numbers exceed antenna count.
SDR-based approach simplifies complex joint design problems.
Simulation results validate the scheme's robustness and effectiveness.
Abstract
To ensure the thriving development of low-altitude economy, countering unauthorized unmanned aerial vehicles (UAVs) is an essential task. The existing widely deployed base stations hold great potential for joint communication and jamming. In light of this, this paper investigates the joint design of beamforming to simultaneously support communication with legitimate users and countermeasure against unauthorized UAVs based on dual-functional multiple-input multiple-output (MIMO) cellular systems. We first formulate a joint communication and jamming (JCJ) problem, relaxing it through semi-definite relaxation (SDR) to obtain a tractable semi-definite programming (SDP) problem, with SDR providing an essential step toward simplifying the complex JCJ design. Although the solution to the relaxed SDP problem cannot directly solve the original problem, it offers valuable insights for further…
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Taxonomy
TopicsUAV Applications and Optimization · Opportunistic and Delay-Tolerant Networks · Distributed Control Multi-Agent Systems
MethodsBalanced Selection
