A Traffic Type-Based Differentiated Reputation Algorithm for Radio Resource Allocation during Multi-Service Content Delivery in 5G Heterogeneous Scenarios

Abstract

The next-generation network environment is expected to include the networks of diverse types, associated with heterogeneous performance. At the same time, this heterogeneous network environment will be used to deliver various services with different requirements. In order to support high quality of experience for the users' availing from these services, there is a need for a solution to the complex problem of selecting the appropriate network support for each user service type. This paper introduces the network Traffic tYpe-based DifferEntiated Reputation (TYDER) solution, which differentiates the data delivery process according to its type. TYDER considers network reputation in the context of traffic type requirements in order to increase the delivery performance for the data exchanged. The Comparative testing involving four traffic categories, including video, gaming, browsing, and the Internet of Things, showed how TYDER outperforms a classic solution in terms of major performance metrics.