Dynamic Resource Allocation Techniques for Wireless Network Data in Elastic Optical Network Applications

Different devices and applications in wireless networks share spectrum resources reasonably. However, there are still issues such as channel overlap and adjacent interference in spectrum allocation and utilization, making the process of data dynamic resource allocation more complex. Therefore, a new data dynamic resource allocation technique for wireless networks is proposed. An elastic optical wireless network is formed by combining elastic optical network and wireless network. A global constrained resource allocation optimization model is designed based on the threshold of the maximum frequency gap number occupied on the fiber core at the end of allocation. Then, by using the global optimization genetic algorithm, the optimal dynamic resource allocation results of the elastic optical wireless network are obtained. Experimental results show that the spectrum utilization obtained by this technology is higher when the number of cores is 12, and the spectrum utilization is significantly improved by employing the proposed method.