Optimized access control and efficient resource allocation for sum rate maximization in D2D communication

Abstract

Device-to-device communication (D2D-C) is one of the breakthrough technologies of the fifth-generation (5G) network that has attracted researchers working in data-regroup applications. It offers great advantages, such as minimum delay, base station load balancing, improved spectral efficiency, and many more. Despite these benefits, efficient resource allocation is one of the major concerns. Existing state-of-the-art solutions are based on game theory, graph theory, etc. The one-to-one Maximum matching scheme offers the best solution in graph theory and has not been explored to its potential. Also, the number of eavesdroppers in the system can affect the existing resource allocation schemes and degrade the system’s performance. This can be taken care of by implementing a D2D-C user access control mechanism, which restricts D2D-C users from having eavesdropping intentions. So, considering these issues, we propose a Fisher Jenks natural break (FJNB) optimization and kernel density estimation clustering-based resource allocation scheme with a D2D-C user access control mechanism. It improves the overall system’s total sum rate and computation time performance.