A Comparison Between Co-Located and Distributed MIMO Deployments in OFDM-ISAC Networks
Maryam Darabi, Sergi Liesegang, Emanuele Grossi, and Stefano Buzzi

TL;DR
This paper compares cell-free and multi-cell massive MIMO architectures in OFDM-ISAC networks, showing that cell-free deployments generally offer superior sensing performance due to their distributed nature.
Contribution
It provides a unified analysis of OFDM-based ISAC in both architectures, deriving sensing detectors and evaluating how network configurations impact sensing performance.
Findings
Cell-free MIMO offers more robust sensing performance.
Distributed antennas improve sensing accuracy.
Performance benefits are consistent across various network configurations.
Abstract
This paper investigates network-level integrated sensing and communication (ISAC) under two fundamentally different topology configurations: cell-free massive MIMO (CF-mMIMO) and multi-cell massive MIMO (MC-mMIMO). A unified OFDM-based waveform is adopted for both architectures as the key enabler for ISAC functionalities. The CF system exploits distributed access points (APs) and a scalable user-target-centric operation, whereas the MC system relies on co-located transmit-receive arrays with conventional cell-centric deployment. For both architectures, we derive a GLRT-based sensing detector and the corresponding sensing SNR expressions. We then examine a series of case studies investigating how the number of OFDM subcarriers, the transceiver allocation strategy, and the antenna/node distribution across the network affect the sensing performance. The results consistently demonstrate…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
