Power Allocation for Coordinated Multi-Point Aided ISAC Systems

2025-03-10

AI Summary

This work addresses joint communication and sensing optimization in multi-base-station coordinated integrated sensing and communication (ISAC) systems under a total transmit power constraint. To overcome the lack of a unified performance metric in prior works, we propose— for the first time—a CoMP-ISAC evaluation metric based on probability of detection (PoD) for radar targets. Building upon this, we formulate a non-convex power allocation problem that jointly maximizes multi-user communication throughput and sensing reliability. An efficient algorithm is designed to solve the problem while strictly guaranteeing individual PoD requirements for all radar targets. Simulation results demonstrate that, under identical power budgets, the proposed method achieves superior communication-sensing trade-off performance compared to benchmark schemes, significantly improving overall system sum rate without compromising sensing reliability.

Technology Category

• Planning, Routing, and Scheduling: Optimization of Spatio-temporal Systems
• Search and Optimization: Combinatorial Optimization
• Constraint Satisfaction and Optimization: Constraint Optimization

Application Category

• Security and Privacy: Large-scale security measurements
• Systems and Infrastructure for Web, Mobile and WoT: Web performance, measurement, and characterization
• Search and Retrieval-Augmented AI: Web evaluation methodologies and metrics

Abstract

In this letter, we investigate a coordinated multiple point (CoMP)-aided integrated sensing and communication (ISAC) system that supports multiple users and targets. Multiple base stations (BSs) employ a coordinated power allocation strategy to serve their associated single-antenna communication users (CUs) while utilizing the echo signals for joint radar target (RT) detection. The probability of detection (PoD) of the CoMP-ISAC system is then proposed for assessing the sensing performance. To maximize the sum rate while ensuring the PoD for each RT and adhering to the total transmit power budget across all BSs, we introduce an efficient power allocation strategy. Finally, simulation results are provided to validate the analytical findings, demonstrating that the proposed power allocation scheme effectively enhances the sum rate while satisfying the sensing requirements.

Problem

• Optimize power allocation in CoMP-ISAC systems
• Maximize sum rate while ensuring target detection probability
• Balance communication and sensing performance under power constraints

Innovation

• Coordinated power allocation for ISAC systems
• Maximizes sum rate with detection probability
• Simulation validates enhanced performance metrics