System-level Analysis of Dual-Mode Networked Sensing: ISAC Integration&Coordination Gains

2025-02-19

AI Summary

This paper addresses the integration and cooperative gain optimization of communication and sensing in dense mmWave integrated sensing and communication (ISAC) networks. We propose a dual-mode (mono-static/multi-static) networked sensing framework. Leveraging stochastic geometry modeling, joint dual-mode waveform design, and successive interference cancellation (SIC)-efficiency-driven mode transition, we first reveal the decisive role of self-interference cancellation capability in sensing mode selection. We establish a spatial sensing diversity compensation theory to enhance robustness under weak target reflections and strong clutter. We quantify the coupled impact of base station density, antenna alignment, bistatic geometry, and channel fading on coverage probability and ergodic rate. Experiments demonstrate that six-base-station multi-static collaboration improves sensing coverage probability by over 100%; four-base-station dual-mode cooperation doubles throughput; and pure multi-static sensing achieves over 50% throughput gain.

Technology Category

• Intelligent Robots: Multimodal Perception & Sensor Fusion
• Machine Learning: Multimodal Learning
• Search and Optimization: Mixed Discrete/Continuous Search

Application Category

• Security and Privacy: Large-scale security measurements
• Systems and Infrastructure for Web, Mobile and WoT: Novel mobile and WoT systems, and system-of-systems
• Graph Algorithms and Modeling for the Web: Efficient manipulation of static and dynamic Web-related graphs

Abstract

This paper characterizes integration and coordination gains in dense millimeter-wave ISAC networks through a dual-mode framework that combines monostatic and multistatic sensing. A comprehensive system-level analysis is conducted, accounting for base station (BS) density, power allocation, antenna misalignment, radar cross-section (RCS) fluctuations, clutter, bistatic geometry, channel fading, and self-interference cancellation (SIC) efficiency. Using stochastic geometry, coverage probabilities and ergodic rates for sensing and communication are derived, revealing tradeoffs among BS density, beamwidth, and power allocation. It is shown that the communication performance sustained reliable operation despite the overlaid sensing functionality. In contrast, the results reveal the foundational role of spatial sensing diversity, driven by the dual-mode operation, to compensate for the weak sensing reflections and vulnerability to imperfect SIC along with interference and clutter. To this end, we identify a system transition from monostatic to multistatic-dominant sensing operation as a function of the SIC efficiency. In the latter case, using six multistatic BSs instead of a single bistatic receiver improved sensing coverage probability by over 100%, highlighting the coordination gain. Moreover, comparisons with pure communication networks confirm substantial integration gain. Specifically, dual-mode networked sensing with four cooperative BSs can double throughput, while multistatic sensing alone improves throughput by over 50%.

Problem

• Analyzes ISAC network integration gains
• Explores sensing-communication tradeoffs
• Identifies monostatic to multistatic transition

Innovation

• dual-mode framework integration
• stochastic geometry analysis
• multistatic-dominant sensing transition