Latency Optimal Traffic-to-Link Allocation for MLO/SLO Coexistence in Wi-Fi 7

As a groundbreaking feature in IEEE 802.11be, multi-link operation (MLO) is expected to support emerging applications that are strongly delay-sensitive. A key to the effective use of MLO for such cases rests on the optimal allocation of application traffic across multiple links. Our initial simulation experiments in ns-3 reveal that the proposed traffic allocation policies in prior art are significantly sub-optimal in terms of achievable delay performance of multi-link devices (MLDs), particularly in the presence of legacy single-link devices (SLDs). In this work, we first develop a new analytical model for the mean end-to-end (E2E) delay, delay jitter and worst-case percentile latency performance of MLD-SLD-coexisting Wi-Fi 7 networks (largely unexplored to date) with saturated and unsaturated SLD traffic. Subsequently, the optimal traffic allocation strategies for minimizing the mean E2E delay and delay jitter are obtained and validated by ns-3 simulation results. It is shown that with the optimal policy, MLDs can achieve significantly better mean E2E delay, delay jitter, worst-case latency and delay cumulative distribution function (CDF) compared to existing solutions.

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Publication Details

Journal
IEEE Journal on Selected Areas in Communications
Published
2025-06-30
DOI
https://doi.org/10.1109/jsac.2025.3584497
Citations
2
Primary Topic
Advanced Wireless Network Optimization
Type
article
Field-Weighted Citation Impact
1.46
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article

Latency Optimal Traffic-to-Link Allocation for MLO/SLO Coexistence in Wi-Fi 7

Yu Zou, Hao Yin, Sumit Roy, Yayu Gao et al.
2 citations
IEEE Journal on Selected Areas in Communications
Advanced Wireless Network Optimization
1.46
article

Latency Optimal Traffic-to-Link Allocation for MLO/SLO Coexistence in Wi-Fi 7

Yu Zou, Hao Yin, Sumit Roy, Yayu Gao, M. Shen
article en
2 citations

Abstract

As a groundbreaking feature in IEEE 802.11be, multi-link operation (MLO) is expected to support emerging applications that are strongly delay-sensitive. A key to the effective use of MLO for such cases rests on the optimal allocation of application traffic across multiple links. Our initial simulation experiments in ns-3 reveal that the proposed traffic allocation policies in prior art are significantly sub-optimal in terms of achievable delay performance of multi-link devices (MLDs), particularly in the presence of legacy single-link devices (SLDs). In this work, we first develop a new analytical model for the mean end-to-end (E2E) delay, delay jitter and worst-case percentile latency performance of MLD-SLD-coexisting Wi-Fi 7 networks (largely unexplored to date) with saturated and unsaturated SLD traffic. Subsequently, the optimal traffic allocation strategies for minimizing the mean E2E delay and delay jitter are obtained and validated by ns-3 simulation results. It is shown that with the optimal policy, MLDs can achieve significantly better mean E2E delay, delay jitter, worst-case latency and delay cumulative distribution function (CDF) compared to existing solutions.

IEEE Journal on Selected Areas in CommunicationsVol. 43(11)
University of Washington (US), Huazhong University of Science and Technology (CN)
Openalex Percentile: Top 17%
Advanced Wireless Network Optimization
1.46
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Latency Optimal Traffic-to-Link Allocation for MLO/SLO Coexistence in Wi-Fi 7 — Yu Zou, Hao Yin, et al. · IEEE Journal on Selected Areas in Communications (2025) | TGRS Research Map | TGRS