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

Handling the massive number of devices needed in numerous applications suchas smart cities is a major challenge given the scarcity of spectrum resources.Dynamic spectrum access (DSA) is seen as a potential candidate to support theconnectivity and spectrum access of these devices. We propose an efficienttechnique that relies on particle filtering to enable distributed resourceallocation and sharing for large-scale dynamic spectrum access networks. Morespecifically, we take advantage of the high tracking capability of particlefiltering to efficiently assign the available spectrum and power resourcesamong cognitive users. Our proposed technique maximizes the per-user throughputwhile ensuring fairness among users, and it does so while accounting for thedifferent users' quality of service requirements and the channel gains'variability. Through intensive simulations, we show that our proposed approachperforms well by achieving high overall throughput while improving user'sfairness under different objective functions. Furthermore, it achieves higherperformance when compared to state-of-the-art techniques.

A Particle Filtering Approach for Enabling Distributed and Scalable Sharing of DSA Network Resources