Fisher Information Based CRLB Analysis for ISAC Cell-Free Massive MIMO Sensing Accuracy
Networking and Information Systems Laboratory
Department of Electrical and Computer Engineering, Texas A&M University, College Station, TX, USA
Email: {xizhang@ece.tamu.edu, mikepang@tamu.edu}
Abstract
This page hosts the extended version of the paper, including detailed appendices and proofs omitted from the conference version due to space limitations. The paper develops a Fisher-information-based analytical framework for evaluating sensing accuracy in ISAC cell-free massive MIMO systems and derives closed-form CRLB expressions for channel-gain and angle-of-arrival estimation.
Paper Information
Type: Extended technical version
File: full-version.pdf
Last updated: May 2026
Citation
Notes
To use this page, place the file full-version.pdf in the same folder as this index.html file. After deployment, cite the webpage URL in the paper as the location of the extended version.