A Poincar'e Lower Bound Approach for Performance Trade-offs in MIMO ISAC Systems with Blockage

2025-01-07

AI Summary

研究使用庞加莱下限方法，探讨MIMO ISAC系统中通信平均传输能力和传感误差的性能平衡，提出新传感误差下限估计和优化策略。

Technology Category

• Planning, Routing, and Scheduling: Optimization of Spatio-temporal Systems
• Search and Optimization: Mixed Discrete/Continuous Search
• Constraint Satisfaction and Optimization: Applications

Application Category

• Systems and Infrastructure for Web, Mobile and WoT: Web performance, measurement, and characterization
• Security and Privacy: Large-scale security measurements
• Graph Algorithms and Modeling for the Web: Algorithms and analysis for incomplete, noisy, or partially observed Web-related graphs

Abstract

Characterizing the performance trade-offs between sensing and communication subsystems is essential for enabling integrated sensing and communication systems. Various metrics exist for each subsystem; however, this study focuses on the ergodic capacity of the communication subsystem. Due to the complexity of deriving the sensing mean square error (MSE) and the inapplicability of the Bayesian Cram'er-Rao Bound to channels with discrete or mixed distributions, this work proposes a Poincar'e lower bound on the sensing MSE to address these issues. An achievable inner bound for the rate-sensing trade-off in a fading multiple-input multiple-output channel with additive white Gaussian noise and blockage probability is established. In addition, a strategy that is asymptotically optimal for sensing is provided.

Problem

• MIMO ISAC systems
• average transmission capacity
• sensing error

Innovation

• Poincaré lower bound
• MIMO ISAC systems
• sensing error complexity