5G cellular network expects to sustain various QoS (Quality of Service) requirements and provide customers with multiple services based on their requirements. Implementing 5G networks in an IoT (Internet of Things) infrastructure can help serving the requirements of IoT devices in a 100x faster and more efficient manner. This objective can be accomplished by applying the network slicing approach, where it partitions a single physical infrastructure into multiple virtual resources that can be distributed among different devices independently. This paper merges the benefits of both the static allocation and the network slicing approach to propose a mechanism that can allocate resources efficiently among multiple customers. The allocation mechanism based on a pre-defined policy between the slice provider and the customer is to specify the attributes that will be computed before any allocation process. Network slicing is the idiosyncratic latest 5G technology which produces diverse requirements to sustain the traditional network infrastructure's adequate granularity level. The main objective of this paper is to present a simulation suite for a network consists of base stations, including clients whose probable scenarios of 5G can attain high standards of network operation plus perform a better and easier analysis of various concepts. Network slicing methodology is enhanced at blocking. Further, it was obvious that the block ratio correspondingly increased the usage of the bandwidth. Based on the results, network slicing methodology enhanced at blocking and the block ratio correspondingly increased the usage of the bandwidth.
A HYBRID RESOURCE ALLOCATION APPROACH FOR 5G IOT APPLICATIONS
