QoE-Aware Intelligent Vertical Handoff Scheme Over Heterogeneous Wireless Access Networks

Chen, Jiamei; Wang, Yao; Li, Yufeng; Wang, Ershen

doi:10.1109/access.2018.2853730

Cited by 50 publications

(35 citation statements)

References 28 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Figure 10 shows that the video transmitted with the Fuzzy System had a better performance, since the delay was less than the video transmitted without the Fuzzy System, in the papers [8][9][10][11]. The lower the delay, the faster and more efficient the delivery of the frames, which confirms the superiority of the [13] Paper [14] Paper [15] Paper [16] Original Architecture Figure 8: SSIM over Frames.…”

Section: Framesmentioning

confidence: 77%

“…In a scenario where the original architecture, the Paper [13] Paper [14] Paper [15] Paper [16] Original Architecture Fuzzy Architecture Proposal Paper [13] Paper [14] Paper [15] Paper [16] Original Architecture Figure 5: Throughput over Time. Fuzzy Architecture Proposal Paper [13] Paper [14] Paper [15] Paper [16] Original Architecture papers [8][9][10][11] had no mobile support for the selection of a network, the high-mobility devices carried out the ping-pong handover. In other words, they were connected to a new network, (which was offering less bandwidth) and were later connected again to their previous network.…”

Section: Qos Resultsmentioning

confidence: 99%

“…Despite the collected results, the ANN obtained a reduced number of handoffs performed, as well as the reduction of the delays. The proposal [13] mechanism based on RNN in order to search the mapping relationship between QoS values and MOS (Mean Opinion Score) values. In addition, a QoE-Q was proposed as a vertical handover algorithm, considering Q-learning theory, to maximize user experience quality.…”

Section: Related Workmentioning

confidence: 99%

“…Fuzzy Architecture Proposal Paper [13] Paper [14] Paper [15] Paper [16] Original Architecture Figure 7: PSNR over Frames.…”

Section: Framesmentioning

confidence: 99%

“…video transmitted with the fuzzy scheme by means of the QoE metrics ( Figure 10). The superiority of the video transmitted with the Fuzzy System can also be determined by making a visual comparison of the frame transmitted with the mechanism (Figure 16), and with a frame of the video transmitted without the [13] Paper [14] Paper [15] Paper [16] Original Architecture Figure 10: Delay over Frames. mechanism (Figure 11), in the paper [11] (Figure 12), in the paper [10] (Figure 13), in the paper [9] (Figure 14), in the paper [8] (Figure 15).…”

Section: Vqm Framesmentioning

confidence: 99%

See 4 more Smart Citations

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

Coqueiro

Jailton

Carvalho

et al. 2019

Wireless Communications and Mobile Computing

View full text Add to dashboard Cite

Bandwidth and power hungry applications are proliferating in mobile networks at a rapid pace. However, mobile devices have been suffering from a lack of sufficient battery capacity for the intensive/continuous use of these applications. In addition, the mobile ecosystem is currently heterogeneous and comprises a plethora of networks with different technologies such as LTE, Wi-Fi, and WiMaX. Hence, an issue must be addressed to ensure that quality of experience (QoE) is provided for the users in this scenario: an energy-efficient strategy that is designed to extend the battery lifetime of mobile devices. This paper proposes an architecture which provides an intelligent decision-making support system based on Fuzzy Logic for saving the energy of mobile devices within an integrated LTE and Wi-Fi network. The simulated experiments show the benefits of the solution this architecture can provide by using QoE metrics.

show abstract

Section: Framesmentioning

confidence: 77%

Section: Qos Resultsmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

“…Fuzzy Architecture Proposal Paper [13] Paper [14] Paper [15] Paper [16] Original Architecture Figure 7: PSNR over Frames.…”

Section: Framesmentioning

confidence: 99%

Section: Vqm Framesmentioning

confidence: 99%

See 3 more Smart Citations

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

Coqueiro

Jailton

Carvalho

et al. 2019

Wireless Communications and Mobile Computing

View full text Add to dashboard Cite

show abstract

Quality of experience and quality of service‐aware handover for video transmission in heterogeneous networks

et al. 2019

View full text Add to dashboard Cite

Heterogeneous networks offer a wide range of multimedia services, such as entertainment, advertising, and video conferences. In this multimedia scenario, users can access video content via heterogeneous wireless networks, such as LTE macro and small cells. Users also expect to receive real-time videos with Quality of Experience (QoE) support, which is a challenging task due to the great diversity of radio base stations in such heterogeneous environments. In this article, we introduce a Quality of Service (QoS-)/QoE-and Radio-aware (SER) handover management algorithm for heterogeneous networks to provide video dissemination with QoS/QoE support. SER algorithm considers the analytic hierarchy process (AHP) to adjust the degree of importance of each criterion in order to select the appropriate radio base station that the mobile node must connect, allowing efficient handover decision making for video transmission with high user experience. Simulation results show that the SER algorithm delivered videos with significant improvement on QoE than existing handover algorithms.

show abstract

An intelligent load balancing algorithm for 5G‐satellite networks

Bello,

Pillai,

Sadiq

2024

Satell Commun Network

View full text Add to dashboard Cite

SummaryCellular networks are projected to deal with an immense rise in data traffic, as well as an enormous and diverse device, plus advanced use cases, in the nearest future; hence, future 5G networks are being developed to consist of not only 5G but also different radio access technologies (RATs) integrated. In addition to 5G, the user's device (UD) will be able to connect to the network via LTE, WiMAX, WiFi, Satellite and other technologies. On the other hand, Satellite has been suggested as a preferred network to support 5G use cases. However, achieving load balancing is essential to guarantee an equal amount of traffic distributed between different RATs in a heterogeneous wireless network; this would enable optimal utilisation of the radio resources and lower the likelihood of call blocking/dropping. This study presented an artificial intelligent‐based application in heterogeneous wireless networks and proposed an enhanced particle optimisation (EPSO) algorithm to solve the load balancing problem in 5G‐Satellite networks. The algorithm uses a call admission control strategy to admit users into the network to ensure that users are evenly distributed on the network. The proposed algorithm was compared with the Artificial Bee Colony and Simulated Annealing algorithm using three performance metrics: throughput, call blocking and fairness. Finally, based on the experimental findings, results outcomes were analysed and discussed.

show abstract

QoE-Aware Intelligent Vertical Handoff Scheme Over Heterogeneous Wireless Access Networks

Cited by 50 publications

References 28 publications

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

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

Quality of experience and quality of service‐aware handover for video transmission in heterogeneous networks

An intelligent load balancing algorithm for 5G‐satellite networks

Contact Info

Product

Resources

About