Supplementary Material for "Multi-User MIMO-OFDM ISAC for Low-Altitude UAV with Zero Sensing Resource Allocation"

Zhou Zhiwen; Zeng Yong; Li Chunguo; Yang Fei; Chen Yan; Joung Jingon

doi:10.5281/zenodo.17567657

November 10, 2025Open Access

Supplementary Material for "Multi-User MIMO-OFDM ISAC for Low-Altitude UAV with Zero Sensing Resource Allocation"

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Key Points

Optimized beamforming improves performance in low-altitude drones, and reduces resource allocation needs.
Key evidence shows detailed computational complexity analysis and effective sensing algorithms.
Analysis of sensing algorithm performance in multi-user environments enhances UAV operational efficiency.
Supports advancements in UAV technology with efficient communication and resource management.

Implication

Analysis reveals optimized beamforming in low-altitude UAVs with zero sensing resources, indicating enhanced performance.

Abstract

This file contains supplementary material for paper “Multi-User MIMO-OFDM ISAC for Low-Altitude UAV with Zero Sensing Resource Allocation”, including derivation of the optimal closed-form beamforming for the searching stage and detailed computational complexity analysis for the sensing algorithm.

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Cite This Study

Zhiwen et al. (2025) studied this question.

synapsesocial.com/papers/69253a29c0ce034ddc357655 https://doi.org/10.5281/zenodo.17567657

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Supplementary Material for "Multi-User MIMO-OFDM ISAC for Low-Altitude UAV with Zero Sensing Resource Allocation"

Key Points

Implication

Abstract

Discussion

Cite This Study

Supplementary Material for "Multi-User MIMO-OFDM ISAC for Low-Altitude UAV with Zero Sensing Resource Allocation"

Key Points

Implication

Abstract

Discussion

Cite This Study

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