Torna ai risultati
Scheda bibliografica · Consultazione e accesso
Artículo de revista

Adaptive frequency-domain CFAR for robust spectrum sensing under jamming and administrator-controlled counter-access

Mohamed Salah Shams et al · Nature Portfolio · 2026

Accesso aperto disponibile
Lettura rapida. Controlla i dati essenziali della risorsa e accedi al contenuto con il pulsante principale. La scheda mostra solo le informazioni necessarie per identificare, citare e aprire l’opera.
Pubblicazione seriale

3D scan-based classification of Chinese young female hand morphology

Questa pubblicazione seriale contiene 688 contenuti correlati.

Accesso alla risorsa

Apri il contenuto dall’opzione principale o scegli un’altra fonte disponibile.

DOAJ DOAJ Articles
Entrar por DOAJ
Accesso principale

Accesso aperto disponibile

Recurso identificado como acceso abierto, sin confirmar automáticamente si es texto completo directo.
Apri risorsa

Riepilogo

Descripción general del contenido del recurso.

Abstract Cognitive radio networks (CRN) enable secondary users (SUs) to opportunistically access underutilized licensed spectrum while protecting primary users (PUs) from interference. However, robust spectrum sensing under heterogeneous interference and noise uncertainty remains challenging. Conventional energy detection, matched filtering, and cyclostationary approaches either require extensive prior knowledge or degrade under interference, leading to excessive false alarms and service denial. We propose an adaptive frequency-domain constant false alarm rate (CFAR) spectrum sensing approach that dynamically sets frequency-specific thresholds based on neighboring spectral samples. This enhancement requires minimal prior knowledge. To address potential security risks from untrusted SUs exploiting this resilience, we introduce a centralized counter-access mechanism: an administrator-controlled jammer that defeats CFAR-equipped adversaries, preventing unauthorized access during emergencies. It safeguards primary communications by creating strategic frequency gaps that avoid known jammed PU channels. Using APCO Project 25 waveforms for PUs, Monte Carlo simulations evaluate cell-averaging (CA), greatest-of (GO), smallest-of (SO), order-statistics (OS), and censored CFAR variants across different channel models combined with multiple jamming scenarios. Results show OS and censored CFAR variants best stabilize false alarm rates and enhance detection in heterogeneous conditions, outperforming CA and GO/SO schemes. The comb-sweep jammer effectively denies service to CFAR-equipped SUs without impacting PUs, though at the expense of reduced spectrum availability. Sensitivity analysis confirms robustness across varied CFAR window configurations, precluding parameter-based evasion by unauthorized SUs. This work frames spectrum sensing and jamming in CRNs as a two-sided interaction between electronic protection for secondary users and administrative electronic attack for controlled denial.

Come citare

Elegí el formato que necesitás y copiá la referencia al portapapeles.

APA 7

al, M. S. S. E. (2026). Adaptive frequency-domain CFAR for robust spectrum sensing under jamming and administrator-controlled counter-access. https://doi.org/10.1038/s41598-026-48876-7

MLA

al, Mohamed Salah Shams et. "Adaptive frequency-domain CFAR for robust spectrum sensing under jamming and administrator-controlled counter-access." 2026. https://doi.org/10.1038/s41598-026-48876-7.

Chicago

al, Mohamed Salah Shams et. 2026. "Adaptive frequency-domain CFAR for robust spectrum sensing under jamming and administrator-controlled counter-access.". https://doi.org/10.1038/s41598-026-48876-7.

Harvard

al, M. S. S. E. 2026, Adaptive frequency-domain CFAR for robust spectrum sensing under jamming and administrator-controlled counter-access, Nature Portfolio, available at: https://doi.org/10.1038/s41598-026-48876-7 [Accessed 10 Aug. 2026].

Condividi e stampa

Salva la scheda, copia il link permanente o stampala in PDF.

Esporta riferimento

Esporta il record nei formati più comuni per usarlo con un gestore bibliografico.

Dettagli della risorsa

Informazioni bibliografiche utili per verificare che sia il materiale corretto.

Titolo
Adaptive frequency-domain CFAR for robust spectrum sensing under jamming and administrator-controlled counter-access
Autore / collaboratori
Mohamed Salah Shams et al
Editore
Nature Portfolio
Anno di pubblicazione
2026
ISSN
2045-2322
ISSN
2045-2322
Lingua
Inglés

Soggetti

Esplora risorse correlate a partire da questi soggetti.

Copiato