IEEE

Deep Learning for Spectrum Prediction in Cognitive Radio Networks: State-of-the-Art, New Opportunities, and Challenges

Abstract: Spectrum prediction is considered to be a promising technology that enhances spectrum efficiency by assisting dynamic spectrum access (DSA) in cognitive radio networks (CRN). Nonetheless, ...
Radio WorldOpinion

Where Is the Indian Digitization Story Going?

"Adopting DRM as India’s single digital radio standard ensures a unified, secure and future-proof national broadcasting ...
SDxCentral

GSMA: 6G needs 3x more mid-band spectrum to meet demand

“This study shows that the 6G era will require three times more mid-band spectrum than is available today,” GSMA Chief ...
SDxCentral

Oracle scores NTT Transatel 5G SA core deal

AT&T recently expanded the reach of its 5G RedCap network to more than 200 million potential customers. That network is ...
IEEE

Deep Reinforcement Learning-Based RIS-Assisted Cooperative Spectrum Sensing in Cognitive Radio Network

Abstract: Cognitive radio network (CRN) is considered to be an effective means of improving spectrum utilization. As a crucial technology in CRN, spectrum sensing detects spectrum holes to achieve ...