Latency Minimization for Multi-AAV-Enabled ISCC Systems with Movable Antenna

TL;DR

This paper proposes an optimization framework for AAV-enabled ISCC systems with movable antennas to minimize latency, involving joint control of antenna positions, resource allocation, and beamforming.

Contribution

It introduces a novel joint optimization approach for movable antennas, computation, and transmission in AAV-based ISCC systems to reduce latency.

Findings

Significant latency reduction compared to baseline schemes.

Effective joint control of antenna positions and resource allocation.

Proposed iterative algorithm outperforms existing methods.

Abstract

This paper investigates an autonomous aerial vehicle (AAV)-enabled integrated sensing, communication, and computation system, with a particular focus on integrating movable antennas (MAs) into the system for enhancing overall system performance. Specifically, multiple MA-enabled AVVs perform sensing tasks and simultaneously transmit the generated computational tasks to the base station for processing. To minimize the maximum latency under the sensing and resource constraints, we formulate an optimization problem that jointly coordinates the position of the MAs, the computation resource allocation, and the transmit beamforming. Due to the non-convexity of the objective function and strong coupling among variables, we propose a two-layer iterative algorithm leveraging particle swarm optimization and convex optimization to address it. The simulation results demonstrate that the proposed scheme achieves significant latency improvements compared to the baseline schemes.