Abstract
In mobile networks, Open Radio Access Network (ORAN) provides a framework for implementing network slicing that interacts with the resources at the lower layers. Both monitoring and Radio Access Network (RAN) control is feasible for both 4G and 5G systems. In this work, we consider how data-driven resource allocation in a 4G context can enable adaptive slice allocation to steer the experienced latency of Virtual Reality (VR) traffic towards a requested latency. We develop an xApp for the near realtime RAN Intelligent Controller (RIC) that embeds a heuristic algorithm for latency control, aiming to: (1) maintain latency of a VR stream around a requested value; and (2) improve the available RAN allocation to offer higher bit rate to another user. We have experimentally demonstrated the proposed approach in an ORAN testbed. Our results show that the data-driven approach can dynamically follow the variation of the traffic load while satisfying the required latency. This results in 15.8 % more resources to secondary users than a latency-equivalent static allocation.
Original language | English |
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Title of host publication | GLOBECOM 2023 - 2023 IEEE Global Communications Conference |
Number of pages | 6 |
Publisher | IEEE Signal Processing Society |
Publication date | 2023 |
Pages | 3481-3486 |
ISBN (Electronic) | 9798350310900 |
DOIs | |
Publication status | Published - 2023 |
Event | 2023 IEEE Global Communications Conference, GLOBECOM 2023 - Kuala Lumpur, Malaysia Duration: 4 Dec 2023 → 8 Dec 2023 |
Conference
Conference | 2023 IEEE Global Communications Conference, GLOBECOM 2023 |
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Country/Territory | Malaysia |
City | Kuala Lumpur |
Period | 04/12/2023 → 08/12/2023 |
Series | Proceedings - IEEE Global Communications Conference, GLOBECOM |
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ISSN | 2334-0983 |
Bibliographical note
Publisher Copyright:© 2023 IEEE.
Keywords
- Network slicing
- ORAN
- VR
- xApp