Multi-Static Target Detection and Power Allocation for Integrated Sensing and Communication in Cell-Free Massive MIMO
KTH Royal Institute of Technology · TOBB University of Economics and Technology
Abstract
This paper studies an integrated sensing and communication (ISAC) system within a centralized cell-free massive MIMO (multiple-input multiple-output) network for target detection. ISAC transmit access points serve the user equipments in the downlink and optionally steer a beam toward the target in a multi-static sensing framework. A maximum a posteriori ratio test detector is developed for target detection in the presence of clutter, so-called target-free signals. Additionally, sensing spectral efficiency (SE) is introduced as a key metric, capturing the impact of resource utilization in ISAC. A power allocation algorithm is proposed to maximize the sensing signal-to-interference-plus-noise ratio while…
Citation impact
- FWCI
- 150.75
- Percentile
- 100%
- References
- 53
Authors
5Topics & keywords
- Computer science
- MIMO
- Clutter
- Signal-to-noise ratio (imaging)
- Benchmark (surveying)
- Detector
- Interference (communication)
- Real-time computing