Mathematical Approach in Hybrid Beamforming for ISAC Systems

This document serves as supplementary material for a journal paper submission, presenting detailed mathematical proofs and derivations that support the results outlined in the main manuscript. In this work, we formulate an Integrated sensing and communication (ISAC) optimization problem aimed at fairly maximizing beampattern gains across multiple directions of interest, while ensuring that the signal-to-interference-plus-noise ratio (SINR) requirements for communication users and the overall power constraint are satisfied. To solve this problem, we propose an optimization algorithm and provide a formal proof of its convergence.

Publication Details

Journal
ArXiv.org
Published
2025-04-07
Primary Topic
Diverse Scientific and Economic Studies
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article
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article

Mathematical Approach in Hybrid Beamforming for ISAC Systems

ArXiv.org
Diverse Scientific and Economic Studies
article

Mathematical Approach in Hybrid Beamforming for ISAC Systems

article en

Abstract

This document serves as supplementary material for a journal paper submission, presenting detailed mathematical proofs and derivations that support the results outlined in the main manuscript. In this work, we formulate an Integrated sensing and communication (ISAC) optimization problem aimed at fairly maximizing beampattern gains across multiple directions of interest, while ensuring that the signal-to-interference-plus-noise ratio (SINR) requirements for communication users and the overall power constraint are satisfied. To solve this problem, we propose an optimization algorithm and provide a formal proof of its convergence.

ArXiv.org
Openalex Percentile: Top 40%
Diverse Scientific and Economic Studies
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Mathematical Approach in Hybrid Beamforming for ISAC Systems · ArXiv.org (2025) | TGRS Research Map | TGRS