Name
Title | ||
|---|---|---|
360° Mulsemedia Experience over Next Generation Wireless Networks - A Reinforcement Learning Approach |
Abstract | ||
|---|---|---|
The next generation of wireless networks targets aspiring key performance indicators, like very low latency, higher data rates and more capacity, paving the way for new generations of video streaming technologies, such as 360° or omnidirectional videos. One possible application that could revolutionize the streaming technology is the 360° MULtiple SEnsorial MEDIA (MULSEMEDIA) which enriches the 360° video content with other media objects like olfactory, haptic or even thermoceptic ones. However, the adoption of the 360° Mulsemedia applications might be hindered by the strict Quality of Service (QoS) requirements, like very large bandwidth and low latency for fast responsiveness to the user's inputs that could impact their Quality of Experience (QoE). To this extent, this paper introduces the new concept of 360° Mulsemedia as well as it proposes the use of Reinforcement Learning to enable QoS provisioning over the next generation wireless networks that influences the QoE of the end-users. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/QoMEX.2018.8463409 | 2018 Tenth International Conference on Quality of Multimedia Experience (QoMEX) |
Keywords | Field | DocType |
QoE,mulsemedia,omnidirectional video,reinforcement learning,packet scheduling,network optimization | Wireless network,Computer science,Server,Quality of service,Bandwidth (signal processing),Quality of experience,Latency (engineering),Multimedia,Haptic technology,Reinforcement learning | Conference |
ISBN | Citations | PageRank |
978-1-5386-2606-1 | 1 | 0.43 |
References | Authors | |
0 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ioan Sorin Comsa | 1 | 51 | 10.66 |
| Ramona Trestian | 2 | 319 | 29.51 |
| Gheorghita Ghinea | 3 | 979 | 104.23 |