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

Reinforcement algorithms refer to the schemes where the results of theprevious trials and a reward-punishment rule are used for parameter setting inthe next steps. In this paper, we use the concept of reinforcement algorithmsto develop different data transmission models in wireless networks. Consideringtemporally-correlated fading channels, the results are presented for the caseswith partial channel state information at the transmitter (CSIT). Asdemonstrated, the implementation of reinforcement algorithms improves theperformance of communication setups remarkably, with the same feedbackload/complexity as in the state-of-the-art schemes.

Reinforcement-based data transmission in temporally-correlated fading channels: Partial CSIT scenario