Revenue‐Maximizing Radio Access Technology Selection with Net Neutrality Compliance in Heterogeneous Wireless Networks

Abstract

The net neutrality principle states that users should have equal access to all Internet content and that Internet Service Providers (ISPs) should not practice differentiated treatment on any of the Internet traffic. While net neutrality aims to restrain any kind of discrimination, it also grants exemption to a certain category of traffic known as specialized services (SS), by allowing the ISP to dedicate part of the resources for the latter. In this work, we consider a heterogeneous LTE/WiFi wireless network and we investigate revenue-maximizing Radio Access Technology (RAT) selection strategies that are net neutrality-compliant, with exemption granted to SS traffic. Our objective is to find out how the bandwidth reservation for SS traffic would be made in a way that allows maximizing the revenue while being in compliance with net neutrality and how the choice of the ratio of reserved bandwidth would affect the revenue. The results show that reserving bandwidth for SS traffic in one RAT (LTE) can achieve higher revenue. On the other hand, when the capacity is reserved across both LTE and WiFi, higher social benefit in terms of number of admitted users can be realized, as well as lower blocking probability for the Internet access traffic.

Active Learning Assisted Admission and Bandwidth Management in HWN for Facilitating Differential QoS under Multicriteria Factors

“…e performance is compared against the revenue-maximizing RAT selection strategy proposed by the joint admission control solution proposed by Khan et al [10], Khloussy et al [12], and the multi-RAT framework proposed by Vimal et al [13].…”

“…Bandwidth allocation is done in a distributed manner due to which, the solution cannot be applied in the case of scalable calls using multiple RATs. Khloussy et al [12] proposed an admission control mechanism for specialized services based on revenue maximization. e bandwidth is reserved for specialized services in such a way as to maximize revenue.…”