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

In this paper, we present a Generative Adversarial Network (GAN) machinelearning model to interpolate irregularly distributed measurements across thespatial domain to construct a smooth radio frequency map (RFMap) and thenperform localization using a deep neural network. Monitoring wireless spectrumover spatial, temporal, and frequency domains will become a critical feature infacilitating dynamic spectrum access (DSA) in beyond-5G and 6G communicationtechnologies. Localization, wireless signal detection, and spectrumpolicy-making are several of the applications where distributed spectrumsensing will play a significant role. Detection and positioning of wirelessemitters is a very challenging task in a large spectral and spatial area. Inorder to construct a smooth RFMap database, a large number of measurements arerequired which can be very expensive and time consuming. One approach to helprealize these systems is to collect finite localized measurements across agiven area and then interpolate the measurement values to construct thedatabase. Current methods in the literature employ channel modeling toconstruct the radio frequency map, which lacks the granularity for accuratelocalization whereas our proposed approach reconstructs a new generalizedRFMap. Localization results are presented and compared with conventionalchannel models.

Three-Way Deep Neural Network for Radio Frequency Map Generation and Source Localization