Relay Channels with Unreliable Helpers
Yossef Steinberg
TL;DR
This work studies the relay channel when a helper link may be unavailable, formulating a degraded RC with an unreliable helper of capacity $C_1$. It derives a single-parameter capacity region ${\cal R}(C_1)$ characterized by an auxiliary random variable $U$ and the relay input $X_1$, with the base rate $R$ decodable regardless of helper activity and an additional rate $R'$ decodable when the helper is present; the region reduces to the classical RC when $C_1=0$ and to the primitive relay channel when $R'=0$. The Gaussian degraded relay channel with unreliable helper is solved, giving explicit region expressions via parameters $\alpha,\beta$ and Gaussian inputs, and the proof combines a Fano-based converse with a block-Markov, binning, and superposition-based direct scheme. The techniques extend to the Gaussian case using the conditional EPI and linear estimation arguments. Overall, the paper provides a robust coding framework for relay networks with potentially unavailable helpers and gives complete capacity results for degraded settings, with practical implications for cooperative communications under uncertainty.
Abstract
The relay channel with unreliable helper is introduced and studied. The model is that of a classical relay channel where the input from the relay to the channel has an extra primitive link whose presence is not assured a priori. The extra link represents a helper who may decide not to cooperate in transmission. The goal is to devise robust coding schemes that exploit all the relay links when they are present, but can also operate, possibly at reduced rates, when the extra primitive link (helper) is absent. The capacity region of this class of problems is defined, and fully characterized for degraded relay channels. The degraded Gaussian relay channel with unreliable relay link is solved.
