Integrated squid game with coati optimisation algorithm for resource allocation system for NOMA system in industrial internet of things

The development of IIoT is the scarcity of spectrum resources. It consumes a significant amount of energy while increases the system's spectrum effectiveness. This paper shows the resource distribution in non-orthogonal multiple access (NOMA) models for IIoT applications from the view of power efficiency. In this paper, the hybrid optimisation is used for reducing the energy consumption of power resources and channel resources. An integrated squid game with coati optimisation algorithm (ISG-COA) is developed by integrating squid game optimiser (SGO) and coati optimisation algorithm (COA) for resource allocation in IIoT scenarios. The limitation of user service quality criteria is also added to the existing optimisation problem in order to prevent the situation where the data transmission quality is substantially impaired as a result of the system's energy-saving measures. The algorithm's average system energy efficiency is higher according to the strategy performance simulation experiment when compared to traditional resource allocation algorithms.