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

We focus on the problem of modulating a parameter onto a power-limited signaltransmitted over a discrete-time Gaussian channel and estimating this parameterat the receiver. Considering the well-known threshold effect in non-linearmodulation systems, our approach is the following: instead of deriving upperand lower bounds on the total estimation error, which weigh both weak-noiseerrors and anomalous errors beyond the threshold, we separate the two kinds oferrors. In particular, we derive upper and lower bounds on the best achievabletrade-off between the exponential decay rate of the weak-noise expected errorcost and the exponential decay rate of the probability of the anomalous errorevent, also referred to as the outage event. This outage event is left to bedefined as part of the communication system design problem. Our achievabilityscheme, which is based on lattice codes, meets the lower bound at the highsignal-to-noise (SNR) limit and for a certain range of trade-offs between theweak--noise error cost and the outage exponent.

Trade-offs Between Weak-Noise Estimation Performance and Outage Exponents in Nonlinear Modulation