Hu, M;
Peng, J;
Wang, L;
Wong, KK;
(2024)
Scalable Multiuser Immersive Communications with Multi-numerology and Mini-slot.
IEEE Communications Letters
10.1109/LCOMM.2024.3370915.
(In press).
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Abstract
This paper studies multiuser immersive communications networks in which different user equipment may demand various extended reality (XR) services. In such heterogeneous networks, time-frequency resource allocation needs to be more adaptive since XR services are usually multi-modal and latency-sensitive. To this end, we develop a scalable time-frequency resource allocation method based on multi-numerology and mini-slot. To appropriately determining the discrete parameters of multi-numerology and mini-slot for multiuser immersive communications, the proposed method first presents a novel flexible time-frequency resource block configuration, then it leverages the deep reinforcement learning to maximize the total quality-of-experience (QoE) under different users’ QoE constraints. The results confirm the efficiency and scalability of the proposed time-frequency resource allocation method.
| Type: | Article |
|---|---|
| Title: | Scalable Multiuser Immersive Communications with Multi-numerology and Mini-slot |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1109/LCOMM.2024.3370915 |
| Publisher version: | https://doi.org/10.1109/LCOMM.2024.3370915 |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
| Keywords: | Immersive communications, quality of experience, numerology, mini-slot |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Electronic and Electrical Eng |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10189450 |
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