Edge-CloudBlock-6G: Adopting AI Technology for Intelligent Spectrum Access and Secure Hybrid Beam forming in mmWave Massive MIMO Assisted Cognitive Radio based IoCV Environment

Authors

  • Nazia Tabassum, C. R. K. Reddy

Keywords:

6G, Spectrum sensing, hybrid beamforming, Internet of Connected Vehicles (IoCV), Cognitive Radio Network (CRN), spectrum handoff, QoS, throughput, efficient‑CapsNet algorithm, red fox optimization

Abstract

Cognitive Radio Network (CRN), as a key technology to improve utilization of radio spectrum and spectrum sensing with Internet of Connected Vehicles (IoCV) which can significantly facilitate vehicle management and route planning to encounter the issues in reliable communication and spectrum access. Though, it faces issues such as high sensing delay, packet loss rate, latency and high throughput. In this proposed work, the existing issues are encountered through edge based Cognitive Radio Network (CRN) in Multi Input Multi Output (MIMO) using 6G (6GCRN-MIMO). Firstly, all Primary Users (PUs), Secondary Users (SUs)and pedestrians are authenticated using cloud based blockchain in order to increase security. The clustering is performed for management of network using modified K‐Means (MKM) algorithm and clustering is performed through entry of authenticated users with consideration of several metrics. The intersection safety information is provided over the proposed network for reduction of collision in intersection using Improved Naive Bayes(INB) algorithm. Spectrum sensing and spectrum handoff are performed using Efficient Capsule Network (E-CapsNet) algorithm when PU is inactive while SU is selecting optimal channel through various metrics for reduction of spectrum scarcity. The ERSU is used to collect and store the environment data to perform the secure routing process using Red Fox Optimization (RFO) algorithm. Hybrid beamforming is performed to enhance reliable communication with Asynchronous Advantage Actor Critic Learning (A3CL) method. The proposed approach is simulated by using SUMO and OMNET ++ and validated by comparing it with existing approaches in terms of spectrum efficiency, spectrum sensing and QoS. The results proved that the proposed approach achieved finest performance while compared to existing approaches.

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Published

09.07.2024

How to Cite

Nazia Tabassum. (2024). Edge-CloudBlock-6G: Adopting AI Technology for Intelligent Spectrum Access and Secure Hybrid Beam forming in mmWave Massive MIMO Assisted Cognitive Radio based IoCV Environment. International Journal of Intelligent Systems and Applications in Engineering, 12(22s), 625–647. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/6534

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Research Article

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