English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

The problem of maximum rate achievable with analog network coding for aunicast communication over a layered wireless relay network with directed linksis considered. A relay node performing analog network coding scales andforwards the signals received at its input. Recently this problem has beenconsidered under two assumptions: (A) each relay node scales its receivedsignal to the upper bound of its transmit power constraint, (B) the relay nodesin specific subsets of the network operate in the high-SNR regime. We establishthat assumption (A), in general, leads to suboptimal end-to-end rate. We alsocharacterize the performance of analog network coding in class of symmetriclayered networks without assumption (B).  The key contribution of this work is a lemma that states that a globallyoptimal set of scaling factors for the nodes in a layered relay network thatmaximizes the end-to-end rate can be computed layer-by-layer. Specifically, arate-optimal set of scaling factors for the nodes in a layer is the one thatmaximizes the sum-rate of the nodes in the next layer. This critical insightallows us to characterize analog network coding performance in networkscenarios beyond those that can be analyzed using the existing approaches. Weillustrate this by computing the maximum rate achievable with analog networkcoding in one particular layered network, in various communication scenarios.

Analog Network Coding in General SNR Regime