Optimum resource allocation for D2D-assisted wireless network in industrial internet of things: a hypergraph-based clique algorithm

Due to the fast development and evolution of technologies like the Internet of Things need for reliable and fast connectivity has also become more prevalent. The use of Device-to-Device communications is a promising technology that can help reduce the base station load on a cellular network and improve its overall performance. The reuse of resources underlaying the D2D technology might cause interference to Cellular users and lead to a reduction in cellular network throughput. The reduction of interference is one of the most challenging factors when it comes to designing and implementing the cellular network in a dynamic environment. The formulated problem is a mixed integer nonlinear programming. Due to its complexity, it is difficult to find a suitable solution. The two methods used to solve this problem are the optimal resource allocation method and the power allocation method. To resolve the problem of resource allocation, a hypergraph has been created that takes into account the relationship between interference levels of D2D users. The interference model is transformed into a complement hypergraph, and then the Hypergraph Clique Algorithm is proposed. The optimum power allocation by the Interior Point-based Vertex power Allocation method. The proposed algorithm significantly improves the performance of cellular users and D2D users in terms of throughput by 16.84% and 25.5% when compared to Hungarian and Heuristic algorithms respectively. Industrial automation, healthcare, and disaster management are some of the applications where the proposed algorithm can be utilized.