QoE-Fuzzy VHO Approach for Heterogeneous Wireless Networks (HWNs)

Abstract

Different wireless technologies are assumed to cooperate in a single heterogeneous environment in future network deployment schemes. Such environment is characterized by a multitude of new services based on multimedia services like gaming and real time video streaming. When dealing with video services, traditional QoS solutions are not sufficient for ensuring video awareness and good user's perception. Quality of Experience (QoE) management approach have been introduced to estimate the quality level of multimedia services. In an heterogeneous environment every user can switch between many networks during his communication in a vertical handover (VHO) process and QoS may decrease as well as the video quality. That is why, maintaining the requested QoS and keeping a satisfying QoE during a VHO process is the main goal for HWNs.In this paper, we proposes a QoE-fuzzy vertical handover algorithm with QoS management and QoE decision. Simulation results of the proposed system show performances improvement for throughput and delays.

A Fuzzy Logic System for Vertical Handover and Maximizing Battery Lifetime in Heterogeneous Wireless Multimedia Networks

“…The paper [8] proposes the use of the fuzzy system to handover decision, and the strategy was the combination of QoS parameters and QoE (Mean Opinion Score) indicators. The proposal [9] uses the QoE to select the best connection; the QoE was evaluated using Mean Opinion Score (MOS) in real time, through the PSQA (Pseudosubjective Quality Assessment) technique based on statistical learning through RNN (Random Neural Network).…”

“…The proposal uses the fuzzy system to support the input imprecision information, while the utility function is responsible for reducing the number of handovers. The papers [8,10], though proposing improvements to QoE, do not provide support for energy consumption. Although the proposal [11] considers multiple criteria such as delay, available bandwidth, and received signal strength, however the QoE and power consumption were not considered.…”

“…The objective is to demonstrate the benefits of the proposed architecture in relation to the original architecture, as well as to compare the performance of the proposal with other papers researched in the literature. The proposal has been compared in relation to papers [8][9][10][11]. The proposals [8][9][10][11] were adapted for the NS-2 simulator to the performance comparison.…”

“…The proposal has been compared in relation to papers [8][9][10][11]. The proposals [8][9][10][11] were adapted for the NS-2 simulator to the performance comparison. The mobility model used was Random Way Point, so the movements and speed of the mobile users were random in the simulation.…”

“…The mobile user in the architecture without Fuzzy System (Original Architecture) was connected for approximately 47 minutes, in the paper [11] was 48,5 minutes, in the paper [10] was 50,3 minutes, in the paper [9] was 51,2 minutes, in the paper [8] was 52 minutes and while the mobile user with an energy-saving policy was connected for 58 minutes (Figure 4). There is a gain in energy because with the Fuzzy System the handover in the network takes place when the battery level of the device is low.…”