Joint Sensing and Bi-Directional Communication With Dynamic TDD Enabled Cell-Free MIMO

This paper studies integrated sensing and communication (ISAC) with dynamic time division duplex (DTDD) cell-free (CF) massive multiple-input multiple-output (mMIMO) systems. DTDD enables the CF mMIMO system to concurrently serve both uplink (UL) and downlink (DL) users with spatially separated <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">half-duplex (HD)</i> access points (APs) using the same time-frequency resources. Further, to facilitate ISAC, the UL APs are utilized for both UL data and target echo reception, while the DL APs jointly transmit the precoded DL data streams and target signal. In this context, we present centralized and distributed generalized likelihood-ratio tests (GLRTs) for target detection treating UL users’ signals as sensing interference. We then quantify the optimality and complexity trade-off between distributed and centralized GLRTs and benchmark the respective estimators with the Bayesian Cramér-Rao lower bound for target radar-cross section (RCS). Then, we present a unified framework for joint UL users’ data detection and RCS estimation. Next, for communication, we derive the signal-to-noise-plus-interference (SINR) optimal combiner accounting for the cross-link and radar interference for UL data processing. In DL, we use regularized zero-forcing for the users and propose two types of precoders for the target: one “user-centric” that nullifies the interference caused by the target signal to the DL users and one “target-centric” based on the dominant eigenvector of the composite channel between the target and the APs. Finally, numerical studies corroborate with our theoretical findings and reveal that the <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">GLRT is robust to inter-AP interference, and DTDD doubles the 90%-likely sum UL-DL SE compared to traditional TDD-based CF-mMIMO ISAC systems</i>; while using HD hardware.

Authors

Institutions

Publication Details

Journal
IEEE Transactions on Wireless Communications
Published
2025-08-14
DOI
https://doi.org/10.1109/twc.2025.3596622
Primary Topic
Advanced MIMO Systems Optimization
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Joint Sensing and Bi-Directional Communication With Dynamic TDD Enabled Cell-Free MIMO

Erik G. Larsson, Sai Subramanyam Thoota, Anubhab Chowdhury
IEEE Transactions on Wireless Communications
Advanced MIMO Systems Optimization
article

Joint Sensing and Bi-Directional Communication With Dynamic TDD Enabled Cell-Free MIMO

Erik G. Larsson, Sai Subramanyam Thoota, Anubhab Chowdhury
article en

Abstract

This paper studies integrated sensing and communication (ISAC) with dynamic time division duplex (DTDD) cell-free (CF) massive multiple-input multiple-output (mMIMO) systems. DTDD enables the CF mMIMO system to concurrently serve both uplink (UL) and downlink (DL) users with spatially separated <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">half-duplex (HD)</i> access points (APs) using the same time-frequency resources. Further, to facilitate ISAC, the UL APs are utilized for both UL data and target echo reception, while the DL APs jointly transmit the precoded DL data streams and target signal. In this context, we present centralized and distributed generalized likelihood-ratio tests (GLRTs) for target detection treating UL users’ signals as sensing interference. We then quantify the optimality and complexity trade-off between distributed and centralized GLRTs and benchmark the respective estimators with the Bayesian Cramér-Rao lower bound for target radar-cross section (RCS). Then, we present a unified framework for joint UL users’ data detection and RCS estimation. Next, for communication, we derive the signal-to-noise-plus-interference (SINR) optimal combiner accounting for the cross-link and radar interference for UL data processing. In DL, we use regularized zero-forcing for the users and propose two types of precoders for the target: one “user-centric” that nullifies the interference caused by the target signal to the DL users and one “target-centric” based on the dominant eigenvector of the composite channel between the target and the APs. Finally, numerical studies corroborate with our theoretical findings and reveal that the <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">GLRT is robust to inter-AP interference, and DTDD doubles the 90%-likely sum UL-DL SE compared to traditional TDD-based CF-mMIMO ISAC systems</i>; while using HD hardware.

IEEE Transactions on Wireless CommunicationsVol. 25
Linköping University (SE)
Svenska Forskningsrådet Formas
Openalex Percentile: Top 79%
Advanced MIMO Systems Optimization
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.