|
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 |
|