Degradedness Under Cooperation

📅 2025-01-15
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🤖 AI Summary
This work addresses the fundamental capacity limits of cooperative communication in broadcast and relay networks under non-physically-degraded channel conditions. Confronting the looseness of the cut-set bound and the limited applicability of classical degradation models (e.g., physically or stochastically degraded channels), we introduce two novel, rigorously defined degradation notions: “strongly sub-noisy” and “strongly more capable.” Leveraging information-theoretic analysis and capacity region bounding techniques, we establish that decode-and-forward (D&F) achieves the capacity region under finite conference rates; we obtain a partial exact characterization of the capacity region for a class of cooperative broadcast channels; and we prove the tightness of the cut-set bound for several canonical relay channels—including multi-relay and diamond networks. These results extend the theoretical foundations of capacity analysis for non-degraded networks and provide a new analytical framework for designing highly reliable cooperative transmission systems.

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📝 Abstract
We study cooperation problems in broadcast and relay networks, where the receivers do not satisfy the classical physical degradedness assumptions. New notions of degradedness, strongly less noisy and strongly more capable are introduced. We show that under these conditions, decode and forward (D&F) is optimal for classes of cooperative systems with limited conference rates, thus yielding new capacity results for these systems. In particular, we derive bounds on the capacity region of a class of broadcast channels with cooperation, that are tight on part of the capacity region. It is shown that the cut-set bound is tight for classes of primitive relay and diamond channels, beyond the physically or stochastically degraded models.
Problem

Research questions and friction points this paper is trying to address.

Cooperative Communication
Broadcast and Relay Networks
Capacity Limits
Innovation

Methods, ideas, or system contributions that make the work stand out.

Collaborative Broadcasting
Enhanced Degradation Concepts
Decoding and Forwarding Superiority
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