# Power Allocation for Joint Communication and Sensing in Cell-Free Massive MIMO

arXiv: https://arxiv.org/abs/2209.01864 · HTML: https://mlsanity.com/paper/2209.01864/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 5 Sep 2022.

## Built on by (most cited first, 1 of 1)

- [Conditional Denoising Diffusion for ISAC Enhanced Channel Estimation in Cell-Free 6G](https://mlsanity.com/paper/2506.06942/) (2025)

## Abstract (arXiv)

This paper studies a joint communication and sensing (JCAS) system with downlink communication and multi-static sensing for single-target detection in a cloud radio access network architecture. A centralized operation of cell-free massive MIMO is considered for communication and sensing purposes. The JCAS transmit access points (APs) jointly serve the user equipments (UEs) and optionally steer a beam towards the target. A maximum a posteriori ratio test detector is derived to detect the target using signals received at distributed APs. We propose a power allocation algorithm to maximize the sensing signal-to-noise ratio under the condition that a minimal signal-to-interference-plus-noise ratio value for each UE is guaranteed. Numerical results show that, compared to the fully communication-centric power allocation, the detection probability under a certain false alarm probability can be increased significantly by the proposed algorithm for both JCAS setups: i) using additional sensing symbols or ii) using only existing communication symbols.