Survey and Challenges of QoE Management Issues in Wireless Networks

Table 1

Comparison of QoE modeling approaches.

Modeling approach	Human influence factors		System influence factors				Context influence factors	Type of service	Wireless aspects	Concrete QoE model	QoE management applicability
	Low-level processing	High-level processing	Content	Media	Network	Device
Perkis et al. [54]	Limited	No	Yes	No	Yes	Yes	No	Voice on demand, mobile TV	Yes	No	(i) Provides the input info for measurement purposes; (ii) Most applicable in the context of service optimization
Kim et al. [55]	Limited	Limited	Limited	Not explicitly considered	Yes	Yes	Limited	IP television	Not specified	No	(i) Investigates the reasons for quality deterioration; (ii) Most applicable in the context of service optimization
Kilkki [56]	Not explicitly considered	Not explicitly considered	Not explicitly considered	Not explicitly considered	Yes	No	Not explicitly considered	Multimedia	Not specified	No	(i) Proposes a holistic approach to QoE; (ii) Most applicable in the context of development of a general QoE management strategy
Möller et al. [57]	Yes	Yes	Not explicitly considered	Not explicitly considered	Yes	Yes	Yes	Multimedia	Not specified	No	(i) Provides a detailed taxonomy of QoE aspects; (ii) Most applicable in the context of target-oriented design and system optimization
Geerts et al. [58]	Yes	Yes	Not explicitly considered	No	Yes	Yes	Yes	Not specified	Yes	No	(i) Offers info on measuring different components of QoE; (ii) Most applicable in the context of system (service and network) optimization
Laghari et al. [10]	Yes	Yes	Yes	Not explicitly considered	Yes	Yes	Yes	Voice on demand	Not specified	Yes	(i) Establishes the causal relationship between different QoE domains; (ii) Most applicable in the context of system optimization
Volk et al. [59]	Yes	Yes	Yes	Yes	Yes	Yes	Yes	Multimedia	Not specified	Yes	(i) Provides the basis for QoE estimation; (ii) Most applicable in the context of service estimation and optimization; (iii) Most applicable in the context of optimized network resource allocation
De Moor et al. [20]	Limited	Yes	Yes	Yes	Yes	Yes	Yes	Multimedia	Yes	No	(i) Proposes an architecture for QoE monitoring and measurement; (ii) Most applicable in the context of service estimation and optimization; (iii) Most applicable in the context of optimized network resource allocation
Song et al. [60]	Yes	Yes	Yes	Yes	Yes	Yes	Yes	Video	Yes	No	(i) Enables the development of strategies for QoE improvement; (ii) Most applicable in terms of optimizing user experience in a mobile context
Reichl et al. [28]	Yes	Yes	Yes	Yes	Yes	Yes	Yes	Broadband and Internet	Yes	Yes	(i) Provides QoE prediction and root cause analysis—applicable for network planning; (ii) Most applicable in the context of service optimization; (iii) Most applicable in the context of development of a general QoE management strategy