Ant-BP decouples virtual SP-BP route learning from per-neighbor FIFO packet forwarding to improve latency and delivery ratio over SP-BP and ACO baselines under mixed traffic while remaining robust to mobility and failures.
Large language model (LLM)-enabled reinforcement learning for wireless network optimization,
2 Pith papers cite this work. Polarity classification is still indexing.
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2026 2verdicts
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Survey classifying 78 joint OFDM-RIS optimization papers into convex relaxation, heuristics, deep learning, and foundation model paradigms, with synthesis showing ML methods achieve near model-based spectral efficiency at much higher speed.
citing papers explorer
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Ant Backpressure Routing for Dynamic Wireless Multi-hop Networks with Mixed Traffic Patterns
Ant-BP decouples virtual SP-BP route learning from per-neighbor FIFO packet forwarding to improve latency and delivery ratio over SP-BP and ACO baselines under mixed traffic while remaining robust to mobility and failures.
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Optimization Algorithms for Joint OFDM Waveform Design and RIS Configuration in 6G Networks: From Convex Relaxation to Foundation Models
Survey classifying 78 joint OFDM-RIS optimization papers into convex relaxation, heuristics, deep learning, and foundation model paradigms, with synthesis showing ML methods achieve near model-based spectral efficiency at much higher speed.