在多用户系统中通过共变矩阵分配优化ISAC权衡
Danaisy Prado-Alvarez1, Daniel Calabuig1, Saúl Inca1
1iTEAM Research Institute, Universitat Politècnica de València, 46022 Valencia, Spain.
Entropy (Basel, Switzerland)
|November 26, 2025
概括
这项研究通过共同设计传输共变矩阵来优化集成传感和通信 (ISAC) 系统. 该方法平衡了通信数据速率与传感精度,这对于未来的无线网络至关重要.
科学领域:
- 无线通信无线通信
- 信号处理 信号处理
- 信息理论 信息理论
背景情况:
- 综合传感和通信 (ISAC) 是未来无线网络的关键技术,它融合了通信和传感.
- 在ISAC的一个主要挑战是平衡通信数据速率和传感精度,特别是在多用户环境中.
研究的目的:
- 调查ISAC系统的传输信号共变矩阵的联合设计.
- 为了优化总量数据速率,同时保持所需的传感性能.
主要方法:
- 制定一个受约束的优化问题,以最大限度地提高通信总和率.
- 在传感相关约束下分配传输共变矩阵.
- 用凸优化工具进行原则性权衡管理.
主要成果:
- 提出的方法有效地平衡了ISAC系统中的通信和传感性能.
- 在满足传感要求的同时,实现了接近最佳的通信数据速率.
- 证明了共变矩阵设计对传感精度和数据速率的影响.
结论:
- 开发的方法为管理ISAC固有的权衡提供了有效的解决方案.
- 这项工作有助于推进高效和高性能ISAC系统设计.
- 这些发现对于实现ISAC在下一代无线网络中的全部潜力至关重要.
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