Reputation-based Resource Allocation Prioritization in 6G: A Coalitional Game Theoretic Approach
Vivek Pathak, Aryan Sharma, Muktesh Singh Rathore, Rahul Jashvantbhai Pandya · 2024
Exploiting the 0.1-10 THz spectrum range in sixth-generation (6G) wireless networks promises significant advancements; however, it presents challenges in resource allocation (RA) and security to meet diverse user demands. This paper introduces a novel approach integrating blockchain technology (BCT) and deep learning (DL) for small base station (SBS) coalition formation (CF) and RA. We address critical challenges in dynamic RA and CF, presenting a comprehensive framework grounded in both theoretical and simulation-based analyses. By leveraging BCT, secure retrieval of reputation data is ensured, thereby establishing trust within the network. Our proposed algorithm dynamically optimizes the reputation-to-demand (R/D) ratios, prioritizing SBSs with higher R/D ratios for RA, thus enhancing network efficiency. Further, notable improvements in network performance metrics, validated through extensive simulations and theoretical calculations. The adaptability of the algorithm allows SBSs to enhance their reputation via increased upload capacity and coalition participation. Utilizing Shapley values and network monitoring, the algorithm optimizes CF and the operational status of SBSs. The stability and reliability of the network are assured through Nash equilibrium checks and reputation integrity verification. This comprehensive implementation illustrates that our proposed methodology offers an efficient solution to dynamic wireless challenges, optimizing RA and CF in evolving environments. The integration of DL and BCT provides a robust framework for efficient wireless network management. Our simulations lay a strong foundation for future research in 6G network optimization, emphasizing the proposed solutions’ practical applicability, scalability, and resilience. Key innovations include dynamic R/D ratio optimization, blockchain-based secure reputation data retrieval, adaptable reputation improvement algorithms, efficient coalition formation using Shapley values, Nash equilibrium checks, and adaptive RA mechanisms.