Using QoE Metric as a Decision Criterion in Multimedia Heterogeneous Network Optimization: Challenges and Research Perspectives

Table 4

Perspectives, recommendations, and progress in the optimization of heterogeneous multimedia networks.

Future outlook	Description	Suggestions for future research	Recommendations for network operators	Recommendations for researchers	Anticipated developments and potential advancements
Integration of artificial intelligence	Used AI to improve QoE in real-time	Develop AI methods to predict QoE and optimize networks	Invest in AI solutions for QoE optimization	Collaborate with AI experts to develop optimization solutions	AI will be widely used for real-time optimization, including self-optimization of networks based on user needs
Unified multimedia QoE metrics	Unify QoE metrics for accurate assessment	Develop unified QoE metrics for various media formats	Implement unified QoE metrics to evaluate QoE consistently	Promote standards for unified QoE metrics	Standardization of QoE metrics will facilitate interoperability between networks and assessment of QoE for various types of media content
Emerging technologies	Seize the opportunities offered by 5 G and emerging technologies	Explore QoE applications in 6 G and beyond	Invest in 5 G infrastructure and prepare for the transition to future technologies	Anticipate QoE needs for emerging technologies	Technological advancements such as 6 G will open up new opportunities for cutting-edge multimedia services
Media diversity management	Effectively manage media diversity in networks	Develop algorithms for managing media diversity	Implement media management strategies for different types of content	Investigating the implications of media diversity on QoE	Managing media diversity requires flexible methods to optimize QoE across content types
Normalization and standards	Establish standards for QoE metrics and protocols	Promote the standardization of QoE metrics and measurement protocols	Follow emerging QoE standards and protocols for interoperability	Collaborate with standards organizations to promote the adoption of standards	QoE standards will drive interoperability and widespread adoption of QoE as an optimization metric
Education and awareness	Raise awareness among users, operators, and decision-makers of the importance of QoE	Organize awareness campaigns to educate users and decision-makers	Educate users about QoE and provide transparent information	Raise awareness among stakeholders of the importance of QoE	Awareness of QoE is essential for understanding and informed decision-making
Privacy protection and security	Protect user privacy and ensure system security	Establish privacy and data security frameworks	Implement privacy and data security policies	Consider the ethical implications of collecting QoE data	Privacy protection is essential to gain user trust in QoE data collection
Interdisciplinary collaboration	Collaborate with experts from other fields for an interdisciplinary approach	Promote interdisciplinary research by collaborating with experts in psychology, economics, etc	Encourage collaboration between experts in networking and other related fields	Promote interdisciplinary collaboration for comprehensive QoE assessment	Interdisciplinary collaboration promotes a holistic approach to QoE optimization
Adaptation to local needs	Adapt optimization strategies to local user needs	Customize optimization strategies based on the specific needs of each region	Adapt services to local needs taking into account QoE requirements	Anticipate local needs to personalize services	A personalized approach ensures a better match to local QoE expectations