Low-Complexity MMSE Receivers for ISAC: Fixed and Adaptive Weight Approaches
Khoso, Imran Ali He, Yejun Guizani, Mohsen
Khoso, Imran Ali
He, Yejun
Guizani, Mohsen
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Department
Machine Learning
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Type
Journal article
Date
2025
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Language
English
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Abstract
Designing receivers for integrated sensing and communications (ISAC) systems is challenging due to mutual interference between communication and sensing. To address this, we first propose a basic MMSE receiver for joint processing and then introduces two enhanced and low-complexity designs, a fixed-weight MMSE receiver and an adaptive-weight MMSE receiver. The fixed-weight MMSE receiver provides controlled performance trade-offs through weight factors, while the adaptive-weight MMSE receiver dynamically optimizes weights based on instantaneous channel conditions, enhancing system flexibility. We develop comprehensive theoretical analyses for both designs, establishing performance bounds for the fixed-weight approach and convergence properties for the adaptive mechanism. Simulation results demonstrate that the proposed MMSE-based receivers achieve superior robustness against sensing power variations and significantly reduce complexity compared to conventional methods, while maintaining balanced performance between communication and sensing functionalities.
Citation
I. A. Khoso, Y. He and M. Guizani, "Low-Complexity MMSE Receivers for ISAC: Fixed and Adaptive Weight Approaches," in IEEE Communications Letters, doi: 10.1109/LCOMM.2025.3634226
Source
IEEE Communications Letters
Conference
Keywords
ISAC, joint receiver, low-complexity, MMSE
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Source
Publisher
IEEE