Power Allocation for Coordinated Multi-Point Aided ISAC Systems

TL;DR

This work addresses integrating sensing and communication in a multi-cell CoMP network, proposing a coordinated power allocation to maximize the communication sum-rate while enforcing radar sensing reliability. It derives closed-form expressions for the probability of false alarm and probability of detection using a GLRT-based framework with a projection matrix, and reformulates the nonconvex sum-rate objective into a convex problem via a g(t) transformation and SNR-type constraints. The key contributions are the PoD/PFA analysis for CoMP-ISAC and a convex, CVX-solvable power allocation scheme that outperforms baseline allocations under a total power budget. The results demonstrate substantial sum-rate gains with guaranteed sensing performance, enabling scalable, cooperative ISAC across multiple cells.

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.

Figures (2)

• Figure 1: Illustration of a CoMP-ISAC network comprising $L=3$ cells.
• Figure 2: (a) Probability of detection versus varying power budgets; (b) sum rate versus varying power budgets; (c) sum rate versus varying thresholds of the probability of detection.