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2026

Joint Optimization of User Association and Resource Allocation for Load Balancing With Heterogeneous Fairness

The joint optimization of user association and resource allocation (UARA) is a fundamental challenge in modern wireless networks, essential for balancing performance, user fairness, and efficiency under growing service demands. Given the latency constraints of emerging applications, distributed pricing-based strategies...

Jonggyu Jang, Hyeonsu Lyu, D. J. Love et al. · 0 citations
#machine learning Preprint Sep 2026

MaskCode: Mask Transformer for Feedback-Assisted Coding With Linear Block Codes

MaskCode is proposed, a Transformer-based inner feedback code for concatenated coding systems, which explicitly incorporates structural knowledge of the outer linear block code into the inner feedback encoder design via two synergistic mechanisms: a soft syndrome-based input that informs the encoder about potential par...

Jonggyu Jang, Hongjae Nam, Vishrant Tripathi et al. · 0 citations

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