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Mohammad Alhefdi

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Open access Jul 2026

A unified machine learning framework for intelligent resource allocation toward 6G wireless communications.

A Dual-Stage Multi-Time-Scale Temporal Attention-Based LSTM network (D-MTSTA-LSTM) has been architected, which effectively learns short- and long-term relationships in network trends, thereby precisely predicting optimal communication routes and associated power and spectrum allocation.

Nishu Gupta, Rupali Bhartiya, S. Rathod et al. · 0 citations