IDEA-6G: Revolutionizing 6G Networks with Integrated Digital Twin and Self-Healing Mechanisms
Anil Audumbar Pise, Yogesh Khandokar · JOURNAL OF HIGH-FREQUENCY COMMUNICATION TECHNOLOGIES · 2025
6G network is an innovative concept of connectivity, which offers unparalleled speeds, ultralow latency, and extensive device connectivity that surpass the capabilities of the current 5G networks. However, challenges such as network congestion and security threats pose significant hurdles to ensuring reliable and stable network performance. A novel Integrated Digital twin and self-healing mechanisms for 6G networks (IDEA-6G) approach has been proposed for addressing these challenges and for the security and performance of the 6G network. The proposed method leverages the Digital Twin (DT) sub-layer to bridge the physical and digital worlds, enabling real-time synchronization and monitoring of network assets. Meticulous feature extraction using Term Frequency - Inverse Document Frequency (TF-IDF) techniques and the innovative Generative Adversarial Networks and Long Short-Term Memory (GAN-LSTM) model have helped the approach in the enhancement of security monitoring capabilities and efficient detection of cyber-attacks within virtual models. Additionally, Deep Neural Networks (DNNs) facilitate informed decision-making for effective self-healing actions in response to identified threats. The effectiveness of the proposed IDEA-6G is compared with the existing B5GEMINI, DTFV, and DITEN techniques. Results of the proposed IDEA-6G technique indicate superior performance prediction accuracy, detection rates, load balancing, and service delay reduction. The detection of the proposed IDEA-6G technique is 17.55%, 27.54%, and 7.38% higher than the existing B5GEMINI, DTFV, and DITEN techniques respectively.