# On the Binary Lossless Many-Help-One Problem with Independently Degraded   Helpers

**Authors:** Albrecht Wolf, Diana Cristina Gonz\'alez, Meik D\"orpinghaus, Jos\'e, C\^andido Silveira Santos Filho, and Gerhard Fettweis

arXiv: 1701.06416 · 2019-01-11

## TL;DR

This paper derives a simple, tight inner bound for the rate region of a binary lossless many-help-one problem with independently degraded helpers, relevant for cooperative communication systems.

## Contribution

It provides a new, simplified inner bound for the rate region in a specific binary source scenario, reducing the complexity of optimization over auxiliary variables.

## Key findings

- Inner bound becomes tighter with more degraded helpers
- Applicable to cooperative communication with relaying links
- Simplifies analysis of binary source rate regions

## Abstract

Although the rate region for the lossless many-help-one problem with independently degraded helpers is already "solved", its solution is given in terms of a convex closure over a set of auxiliary random variables. Thus, for any such a problem in particular, an optimization over the set of auxiliary random variables is required to truly solve the rate region. Providing the solution is surprisingly difficult even for an example as basic as binary sources. In this work, we derive a simple and tight inner bound on the rate region's lower boundary for the lossless many-help-one problem with independently degraded helpers when specialized to sources that are binary, uniformly distributed, and interrelated through symmetric channels. This scenario finds important applications in emerging cooperative communication schemes in which the direct-link transmission is assisted via multiple lossy relaying links. Numerical results indicate that the derived inner bound proves increasingly tight as the helpers become more degraded.

## Full text

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## Figures

6 figures with captions in the complete paper: https://tomesphere.com/paper/1701.06416/full.md

## References

10 references — full list in the complete paper: https://tomesphere.com/paper/1701.06416/full.md

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Source: https://tomesphere.com/paper/1701.06416