PhD Seminar – Jason Ernst

The School of Computer Science is pleased to announce the following PhD Seminar, Connection point Selection in HWNs to improve QoS/QoE, reduce cost and increase profits, presented by PhD Candidate Jason Ernst.

The seminar will take place September 10, 2014 in Reynolds 219 at 2:00 pm.

Title

Connection point Selection in HWNs to improve QoS/QoE, reduce cost and increase profits

Abstract

A heterogeneous wireless network (HWN) is one which is made up from multiple radio access technologies (RATs) such as Bluetooth, Wi-Fi, and Long Term Evolution (LTE). The use of multiple RATs may allow for increased capacity, coverage, flexibility, reliability and increased spectral and energy efficiency. However, one of the challenges for the users and operators is matching the quality of service (QoS) and quality of experience (QoE) requirements of the user with the particular RATs the operators offer. Furthermore, typical cellular operators have complicated service agreements between the users and other operators. The users wish to select the best network for the lowest cost, while operators wish to select users which maximize their profits. Traditionally, in homogeneous wireless networks such as Wi-Fi, the best access point (AP) is selected based on the strongest signal. In this seminar results will be presented which show that a single metric is often a poor choice in so me scenarios. This problem is related to choosing a RAT in a HWN. In this seminar utility based methods for RAT and AP selection will be presented, which as opposed to a single metric selection scheme, perform more consistently across a variety of scenarios. The seminar will also present a game theoretic framework modeled on the utility based selection schemes which aims to improve user QoS/QoE while simultaneously lowering user cost and improving operator profit.

Advisor: Stefan Kremer