Kolloquiumsvortrag 04. März 2025, Sai Geetha Mada (Betreuerin: Anna Baron)
Dynamic Resource Unit Allocation in Time-Sensitive Networking WLANs across a 5G Core
Wi-Fi 6, based on Orthogonal Frequency Division Multiple Access (OFDMA), en-ables simultaneous connections from multiple wireless clients. By utilizing Resource Units (RUs), it optimizes bandwidth distribution, reduces contention, and enhances fairness, improving network capacity and efficiency to support more concurrent connections upstream to the Access Point (AP). However, static RU allocation lacks the flexibility to adapt to dynamic traffic scenarios. Wi-Fi, as a complementary short-range technology, is gaining importance in supporting deterministic requirements, which have traditionally been managed by Ethernet and 5G, aligning with Time-Sensitive Networking (TSN) standards.
This dissertation investigates dynamic RU allocation strategies that can support TSN in Wi-Fi 6 networks integrated with fixed and with a 5G core, ensuring compatibility with Ethernet/TSN standards. Key challenges include mapping TSN traffic classes to Wi-Fi 6 Quality of Service (QoS) mechanisms and aligning TSN control with Ethernet. The proposed algorithm to incorporate TSN QoS classes and streams into Wi-Fi 6’s OFDMA framework, addressing the limitations of static RU scheduling approaches, such as the default Round Robin scheduling. While mapping improves some metrics, additional optimizations enhance resource allocation and QoS for time-sensitive traffic. The proposed solution is validated through the network simulator v3.0 DetNetWiFi framework provided by the fortiss research institute. The simulations carried out have been devised to analyze performance under various conditions, including a varying number of wireless clients, different types of traffic. The ns-3 DetNetWiFi, which provides support for Wi-fi 6 environments interconnected with Ethernet/TSN has been extended with the proposed RU allocation algorithm, considering diverse traffic scenarios, including emergency, voice, video, background, and best-effort flows, utilizing advanced QoS mechanisms such as Wi-Fi Enhanced Distributed Channel Access (EDCA) configuration and Ethernet Time-Aware Shaping (TAS) to effectively manage traffic and allocate resources. The analysis shows improved network efficiency, reducing jitter, latency, and packet loss, demonstrating dynamic RU allocation’s potential for Wi-Fi 6 in TSN applications.
Zeit: 10:15 Uhr
Ort: Raum 04.137, Martensstr. 3, Erlangen
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