MAP-Based Task-Oriented Precoding for Multiuser Communication

Mohammad Javad Ahmadi

doi:10.1109/lcomm.2026.3735912

MAP-Based Task-Oriented Precoding for Multiuser Communication

2026-09-22

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Mohammad Javad Ahmadi

DOI：10.1109/lcomm.2026.3735912

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We propose a task-oriented multiuser wireless communication framework for distributed classification based on a MAP-driven system design under wireless channel impairments. By deriving tractable approximations of the MAP error bound, the proposed approach enables the design of learning-based feature extraction and precoding strategies. Unlike existing approaches that optimize intermediate reconstruction, information-theoretic, or feature-separability objectives, the proposed formulation directly optimizes objectives derived from the MAP decision error, thereby providing a more direct connection to the final classification performance. Simulation results demonstrate that the proposed schemes achieve higher classification accuracy than their counterparts, with lower or comparable computational complexity.

Keywords:

Task-oriented communication

MAP detection

feature learning

wireless precoding

ModelNet10

MAP-Based Task-Oriented Precoding for Multiuser Communication

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