503 research outputs found
An Economic User-Centric WiFi Offloading Algorithm for Heterogeneous Network
An economic user-centric WiFi offloading algorithm is proposed to satisfy the major concerns of
wireless users, who wish to have better network performance with even less network expense. Thus in this paper
both system throughput and network expense are considered, and the goal of the proposed offloading algorithm is
to obtain an optimal offloading ratio, which can both maximize the system throughput and minimize the network
expense. Firstly, a practical system model is set up on the basis of a typical scenario of heterogeneous network. In this
model, the average throughput of both cellular network and WiFi network is analyzed carefully. Then an economic
user-centric WiFi offloading algorithm is proposed with an evaluation function to evaluate the system, and the optimal
offloading ratio can be obtained by minimizing the evaluation function. At last, numerical results represent a direct
calculating process of the optimal offloading ratio. These results in return validate the efficiency of the proposed
offloading algorithm as well
Technical considerations towards mobile user QoE enhancement via Cloud interaction
This paper discusses technical considerations of a Cloud infrastructure which interacts with mobile devices in order to migrate part of the computational overhead from the mobile device to the Cloud. The aim of the interaction between the mobile device and the Cloud is the enhancement of parameters that affect the Quality of Experience (QoE) of the mobile end user through the offloading of computational aspects of demanding applications. This paper shows that mobile user’s QoE can be potentially enhanced by offloading computational tasks to the Cloud which incorporates a predictive context-aware mechanism to schedule delivery of content to the mobile end-user using a low-cost interaction model between the Cloud and the mobile user. With respect to the proposed enhancements, both the technical considerations of the cloud infrastructure are examined, as well as the interaction between the mobile device and the Cloud
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