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

Radio map describes network coverage and is a practically important tool fornetwork planning in modern wireless systems. Generally, radio strengthmeasurements are collected to construct fine-resolution radio maps foranalysis. However, certain protected areas are not accessible for measurementdue to physical constraints and security considerations, leading to blankedspaces on a radio map. Non-uniformly spaced measurement and uneven observationresolution make it more difficult for radio map estimation and spectrumplanning in protected areas. This work explores the distribution of radiospectrum strengths and proposes an exemplar-based approach to reconstructmissing areas on a radio map. Instead of taking generic image processingapproaches, we leverage radio propagation models to determine directions ofregion filling and develop two different schemes to estimate the missing radiosignal power. Our test results based on high-fidelity simulation demonstrateefficacy of the proposed methods for radio map reconstruction.

Exemplar-Based Radio Map Reconstruction of Missing Areas Using Propagation Priority