Enhancing Connectivity in Rural Areas: Secure Spectrum Access in 6G Networks Using Advanced Encryption and Spectrum Sensing Techniques

• Published in: IT professional 2024-07, Vol.26 (4), p.22-28
• Main Authors: Deepanramkumar, P, Sharmila, A Helen, Radhakrishnan, Niranchana, Sudheer, Devulapalli, Devasia, Jeethu V., Reddy, Ch. Pradeep, Yenduri, Gokul, Jaisankar, N.
• Format: Article
• Language: English
• Subjects: 6G mobile communication; Beamforming; Blockchain; Cognitive radio; Connectivity; Cryptography; Data encryption; Data transmission; Dijkstra's algorithm; Internet of Things; Kalman filters; Machine learning; MIMO communication; Network latency; Optimization; Radio equipment; Regression models; Remote sensing; Rural areas
• ISSN: 1520-9202; 1941-045X
• DOI: 10.1109/MITP.2024.3433402

The advancement of 6G cognitive radio networks aims to reduce latency in rural and remote areas. Very few studies have been conducted on this technology. Therefore, this study utilizes massive multiple-input, multiple-output (MIMO) technology for secure data transmission at 6G base stations. Blockchain technology authenticates IDs and maintains secure records for network users, with decentralization achieved through the chimp optimization algorithm. The availability of the spectrum is monitored using the Q-learning hidden sparse variate logistic regression model, and the channel-state information is predicted using the quasi-Newton iterative unscented Kalman filter algorithm. Additionally, beamforming is enhanced through cooperative strategies. Secure routing is facilitated by the golden eagle optimization-hyper elliptic curve cryptography algorithm, where data are routed according to paths determined by the Dijkstra algorithm. The MIMO-6G-cognitive radio-based Internet-of-Things framework performs better compared to existing methods.