Joint UAV Deployment and Precoder Optimization for Multicasting and Target Sensing in UAV-Assisted ISAC Networks

In this work, we investigate content delivery and target sensing problem in unmanned aerial vehicle (UAV)-enabled integrated sensing and communication (ISAC) networks where UAVs are allowed storing user-requested contents, delivering the content to users and performing target sensing as well. To joi...

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Vydáno v:IEEE internet of things journal Ročník 11; číslo 20; s. 33392 - 33405
Hlavní autoři: Abdissa Bayessa, Gezahegn, Chai, Rong, Liang, Chengchao, Kumar Jain, Deepak, Chen, Qianbin
Médium: Journal Article
Jazyk:angličtina
Vydáno: Piscataway IEEE 15.10.2024
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:
Algorithms
Autonomous aerial vehicles
Communication
Content delivery
Integrated sensing and communication
Internet of Things
Iterative algorithms
Mixed integer
Nonlinear programming
Optimization
Precoding
Sensors
target sensing
Taylor series
Transforms
UAV deployment
Unmanned aerial vehicles
unmanned aerial vehicles (UAVs)
user grouping
ISSN:2327-4662, 2327-4662
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Shrnutí:In this work, we investigate content delivery and target sensing problem in unmanned aerial vehicle (UAV)-enabled integrated sensing and communication (ISAC) networks where UAVs are allowed storing user-requested contents, delivering the content to users and performing target sensing as well. To jointly address the performance of content transmission and target sensing, we define utility function and formulate the UAV deployment, communication and sensing precoder design problem as a constrained utility maximization problem. As the formulated problem is a mixed-integer nonlinear programming problem, which cannot be solved conveniently, we transform it into two subproblems, namely, user grouping and UAV deployment subproblem, and communication and sensing precoder design subproblem, and solve the two subproblems by using an alternate iteration-based algorithm. Specifically, we first design a mean-shift-based user grouping strategy which divides users into different groups and then propose a UAV deployment strategy based on successive convex approximation (SCA)-based iterative algorithm and the first order Taylor expansion method. To solve communication and sensing precoder design subproblem, we propose a two-layer penalty-based SCA algorithm. Simulation results demonstrate the effectiveness of the proposed algorithms.
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ISSN:2327-4662
2327-4662
DOI:10.1109/JIOT.2024.3430371