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Decentralized Feedforward-Feedback Interference Cancellation-Based Detector for M-MIMO Systems
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DOI：10.1109/LCOMM.2025.3541876.png)
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Abstract
En 中文
Decentralized baseband processing (DBP) has been considered a promising solution to tackle the excessive computational complexity and substantial interconnection costs challenges faced by centralized implementations in massive multiple-input multiple-output (M-MIMO) systems. However, most existing decentralized detectors experience considerable performance degradation resulting from limited information sharing among antenna clusters. In this letter, we propose a decentralized feedforward-feedback interference cancellation (FFIC) detection paradigm for DBP architectures, which is well-suited for message-passing-based nonlinear detectors. The expectation propagation (EP) algorithm is employed as an illustrative example. Simulation results demonstrate that the proposed FFIC-EP detector yields significant performance improvements compared to conventional methods, providing a flexible trade-off between performance, complexity, and interconnection costs, especially in scenarios with low BS-antenna-to-user ratios.
Keywords:
Detectors
Computer architecture
Vectors
Radio frequency
Costs
Antennas
Uplink
Feedforward systems
Computational complexity
Decentralized baseband processing
feedforward-feedback
interference cancellation
expectation propagation
expectation propagation
Journal
IF:
4.4
Papers:
1.3W
Citations:
2.2W
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