Deep Learning-Based Multi-User Communication Design for Dense IoT Networks: Interference-Aware Finite-Blocklength Communication and Preliminary MIMO Extensions

arXiv:2608.22923 · cs.IT, cs.AI, math.IT · Submitted 2026-08-24 · Read on arXiv

cs.IT, cs.AI, math.IT

Submitted: 2026-08-24

Updated: 2026-09-08

Comments: Accepted for publication at IEEE ICSCST 2026

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Robustness — 10× in this paper · explained in 5 episodes
• alpha — 9× in this paper · explained in 1 episode
• Benchmark — 4× in this paper · explained in 2 episodes
• Decode — 4× in this paper · explained in 2 episodes
• Rate-Splitting Multiple Access — 4× in this paper
• Redundancy — 4× in this paper · explained in 2 episodes
• IEEE Wireless Communications and Networking Conference — 2× in this paper
• Internet of Things — 2× in this paper
• Bit Error Rate — 1× in this paper
• Cooperation — 1× in this paper · explained in 2 episodes
• Copula — 1× in this paper · explained in 2 episodes
• Log Likelihood Ratio — 1× in this paper

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