An Experimental Study of Latency for IEEE 802.11be Multi-link Operation

Carrascosa, Marc; Geraci, Giovanni; Knightly, Edward W.; Bellalta, Boris

doi:10.48550/arxiv.2111.09281

Cited by 7 publications

(7 citation statements)

References 9 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…For instance, existing MLO works relate to feature improvements, as the work in [4], in which the authors prove that MLO can reduce latency by means of minimizing the congestion. Similarly, [5] shows experimentally that MLO is able to reduce Wi-Fi latency in one order of magnitude in certain conditions by just using two radio interfaces. Additionally, authors in [6] suggest that the use of MLO per-se may not be sufficient enough to provide the prospected gains without a coordination between access points (AP) in high density areas.…”

Section: Introductionmentioning

confidence: 82%

See 1 more Smart Citation

Dynamic Traffic Allocation in IEEE 802.11be Multi-Link WLANs

López-Raventós¹,

Bellalta²

2022

IEEE Wireless Commun. Lett.

View full text Add to dashboard Cite

The multi-link operation (MLO) is a key feature of the next IEEE 802.11be Extremely High Throughput amendment. Through its adoption, it is expected to enhance users' experience by improving throughput rates and latency. However, potential MLO gains are tied to how traffic is distributed across the multiple radio interfaces. In this paper, we introduce a traffic manager atop MLO, and evaluate different high-level traffic-tolink allocation policies to distribute incoming traffic over the set of enabled interfaces. Following a flow-level approach, we compare both non-dynamic and dynamic traffic balancing policy types. The results show that the use of a dynamic policy, along with MLO, allows to significantly reduce the congestion suffered by traffic flows, enhancing the traffic delivery in all the evaluated scenarios, and in particular improving the quality of service received by video flows. Moreover, we show that the adoption of MLO in future Wi-Fi networks improves also the coexistence with non-MLO networks, which results in performance gains for both MLO and non-MLO networks.

show abstract

Section: Introductionmentioning

confidence: 82%

“…To do so, we generate N s = 500 scenarios, placing N = 5 BSSs over a 20x20 m 2 area. At the central BSS (i.e., BSS A ), we configure a unique video station with ℓ S ∼ U[20, 25] Mbps, whereas the remaining BSSs will have M ∼ U [5,15] stations requesting data traffic with ℓ E ∼ U [1,3] Mbps.…”

Section: A Long-lasting Flowsmentioning

confidence: 99%

Dynamic Traffic Allocation in IEEE 802.11be Multi-Link WLANs

López-Raventós¹,

Bellalta²

2022

IEEE Wireless Commun. Lett.

View full text Add to dashboard Cite

show abstract

“…In a push for higher and more efficient performance levels, recent Wi-Fi amendments such as 802.11ac [110], 802.11ax [3], and 802.11be [111] introduce new advanced and complex techniques such as multi-user communications (OFDMA, MU-MIMO) [112], spectrum aggregation and opportunistic spectrum access (channel bonding [113], multi-link operation [114]- [116]), spatial reuse [8], and multi-AP coordination [5], [117]. All these techniques promise high-performance gains in both throughput and latency but also open new challenges.…”

Section: Recent Wi-fi Featuresmentioning

confidence: 99%

Wi-Fi Meets ML: A Survey on Improving IEEE 802.11 Performance With Machine Learning

Szott

Kosek-Szott

Gawłowicz

et al. 2022

IEEE Commun. Surv. Tutorials

Self Cite

View full text Add to dashboard Cite

Wireless local area networks (WLANs) empowered by IEEE 802.11 (Wi-Fi) hold a dominant position in providing Internet access thanks to their freedom of deployment and configuration as well as the existence of affordable and highly interoperable devices. The Wi-Fi community is currently deploying Wi-Fi 6 and developing Wi-Fi 7, which will bring higher data rates, better multi-user and multi-AP support, and, most importantly, improved configuration flexibility. These technical innovations, including the plethora of configuration parameters, are making next-generation WLANs exceedingly complex as the dependencies between parameters and their joint optimization usually have a non-linear impact on network performance. The complexity is further increased in the case of dense deployments and coexistence in shared bands. While classical optimization approaches fail in such conditions, machine learning (ML) is able to handle complexity. Much research has been published on using ML to improve Wi-Fi performance and solutions are slowly being adopted in existing deployments. In this survey, we adopt a structured approach to describe the various Wi-Fi areas where ML is applied. To this end, we analyze over 250 papers in the field, providing readers with an overview of the main trends. Based on this review, we identify specific open challenges and provide general future research directions.

show abstract

“…These studies focus only on a case of asynchronous channel access without considering other options from the literature. In [25], the authors evaluate the performance of STR and NSTR using a dataset with real spectrum occupancy measurements of the 5 GHz band. The results of the trace-based simulation model show that while STR generally outperforms NSTR in terms of latency reduction in asymmetrically occupied channels, the use of STR may be detrimental and increase the latency compared to default single link operation.…”

Section: Literature Reviewmentioning

confidence: 99%

Study of Multi-Link Channel Access Without Simultaneous Transmit and Receive in IEEE 802.11be Networks

Korolev¹,

Levitsky

Startsev

et al. 2022

IEEE Access

View full text Add to dashboard Cite

Native support for multi-link operation is a key novelty of the future Wi-Fi 7 technology defined by the IEEE 802.11be standard, which is currently under development. With the 6 GHz band recently granted for Wi-Fi operation, the novel multi-link feature enables simultaneous usage of multiple wide channels. Thus, it multiplies the capacity of Wi-Fi networks well beyond the 30 Gbps target of Wi-Fi 7. However, not all stations can simultaneously transmit and receive (STR) information on several links because of cross-channel interference. That is why it is proposed to synchronize the transmissions on different channels. The presence of legacy stations not supporting the multi-link operation raises many issues related to multi-link channel access performance and fairness. This paper evaluates various channel access approaches considered in the context of the Wi-Fi 7 non-STR operation and discusses how to organize channel access in multi-link Wi-Fi 7 congested networks to be both efficient and fair, even in the presence of legacy stations.INDEX TERMS 802.11be, Wi-Fi 7, multi-link, simultaneous transmission and reception, channel access.

show abstract

An Experimental Study of Latency for IEEE 802.11be Multi-link Operation

Cited by 7 publications

References 9 publications

Dynamic Traffic Allocation in IEEE 802.11be Multi-Link WLANs

Dynamic Traffic Allocation in IEEE 802.11be Multi-Link WLANs

Wi-Fi Meets ML: A Survey on Improving IEEE 802.11 Performance With Machine Learning

Study of Multi-Link Channel Access Without Simultaneous Transmit and Receive in IEEE 802.11be Networks

Contact Info

Product

Resources

About