Abstract
Recently, mobile networks have been overloaded with a considerable amount of data traffic. This paper proposes a brokerage service for mobile environments, using policies and quality metrics and ensuring better usage of network resources with more fine-grained management based on flows, and expands previous work (Silva, et al.) with the novel addition of differentiated classes of service. A closed innovative control loop included in a flexible brokerage service in the network, as well as agents at the mobile terminals, detects and counteracts an abnormal data load in any access technology. This allows the terminals to make well-informed decisions about their connections to improve the number of connected flows per technology and the individual service level offered to each flow. Simulation results indicate that the current proposed management solution optimizes the usage of available 4G/5G network resources among a high number of flows in several usage scenarios where the technologies are extremely overloaded, while at the same time, protecting the higher classes of service.
Highlights
According to the Cisco Global Mobile Data Traffic Forecast, mobile data traffic will grow at a compound annual growth rate of 47 percent from 2016 to 2021 [1]
Due to the lack of capacity in the mobile network infrastructure, originally dimensioned to support only voice calls and text messages, it is envisioned that the existing macrocells will be increasingly enhanced from a capacity standpoint with a new breed of low-power nodes but from distinct technologies like public space femtocells and WiFi hotspots
Previous work suggests that a network architecture with an enhanced integration design, in which several network units collaborate in the discovery of relevant network status, can diminish the necessary time for network selection and increase its reliability [7]. e authors built a sophisticated network brokerage scheme simulator in [2], based on the following assumptions: (i) Individual influence of each flow on the access selection process, instead of solving this issue at the users/terminals level, as proposed in [6]
Summary
According to the Cisco Global Mobile Data Traffic Forecast, mobile data traffic will grow at a compound annual growth rate of 47 percent from 2016 to 2021 [1]. 2. Related Work e current work discusses how a brokerage system can manage congestion in a network access environment, balancing high data demand among distinct wireless access technologies and guaranteeing a satisfactory connection quality to mobile flows. Ere are some open issues in the integration of distinct wireless access technologies [11], namely, the following: load balancing, traffic management among networks, connection admission, network selection, and resource sharing. The terminal side supports a dynamic cost function to rank target NAPs based on the connection quality offered by each one of these In this way, the final decision in terms of NAP selection per flow is issued at terminals and supported by the distributed broker units at the network infrastructure. Afterwards, if a technology load is in the [0, QT ∗ Hyst] range and there is a
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
