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 Tools annual

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 Tools monthly

Global: Zendy Plus monthly

Presents the access of premium content as premium feature

Premium Content

Global: Zendy Plus annual

Global: Zendy Free Plan

In this paper a new multiple access algorithm for cognitive radio networksbased on game theory is presented. We address the problem of a multiple accesssystem where the number of users and their types are unknown. In order to dothis, the framework is modelled as a non-cooperative Poisson game in which allthe players are unaware of the total number of devices participating(population uncertainty). We propose a scheme where failed attempts to transmit(collisions) are penalized. In terms of this, we calculate the optimumpenalization in mixed strategies. The proposed scheme conveys to a Nashequilibrium where a maximum in the possible throughput is achieved.

A Game Theory Interpretation for Multiple Access in Cognitive Radio Networks with Random Number of Secondary Users