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QoE Optimization With User Intent in Software-Defined Heterogeneous Wireless Network | IEEE Journals & Magazine | IEEE Xplore

QoE Optimization With User Intent in Software-Defined Heterogeneous Wireless Network

Publisher: IEEE

Abstract:

Due to the Quality-of-Experience (QoE) degradation caused by the mismatch of supply and demand rate in heterogeneous wireless network (HWN), we introduce the idea of inte...View more

Abstract:

Due to the Quality-of-Experience (QoE) degradation caused by the mismatch of supply and demand rate in heterogeneous wireless network (HWN), we introduce the idea of intent driven network (IDN) to associate the user intent (UI) with the network QoE strategy under a software-defined framework. We specifically construct a UI-aware QoE model to quantify the effect of dynamic request rate on actual QoE. Based on this model, we formulate a QoE maximization problem to adaptively match supply-demand rates. As a multivariable combinatorial optimization problem, we firstly present a robust algorithm based on simulated-annealing (SA) to obtain the approximate optimal solution as much as possible. Moreover, we present a genetic algorithm (GA) on the basis of the initial SA algorithm to improve the search accuracy of each step for more practical application. Compared with three schemes without UI interference, our approaches raise average QoE by at least 42.1%.
Published in: IEEE Wireless Communications Letters ( Volume: 13, Issue: 1, January 2024)
Page(s): 9 - 13
Date of Publication: 08 August 2023

ISSN Information:

Publisher: IEEE

Funding Agency:


I. Introduction

In heterogeneous wireless network (HWN), intensive infrastructure deployment has been proposed to further enhance network capacity by increasing spectral efficiency [1]. From the perspective of users’ experience, it is not a reasonable option to blindly pursue throughput maximization [2]. Due to significant differences in application types and user preferences, more users may feel variable Quality-of-Experience (QoE), even when owning the same throughput [3]. As a critical factor of driving HWN optimization, QoE optimization is primarily conducted in this letter.

References

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