Improved Spatial Reuse for Dense 802.11 WLANs

Oteri, O.; Sita, Frank La; Yang, Rui; Ghosh, Monisha; Olesen, Robert L.

doi:10.1109/glocomw.2015.7413992

Cited by 7 publications

(3 citation statements)

References 5 publications

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“…In [16], the authors investigated improving IEEE 802.11ax network performance by using dual ST values, one is conservative and targets the detection of intra-BSS signals while the other is aggressive and targets the detection of inter-BSS signals. The authors in [17] demonstrated that adapting the ST values is needed and the best ST value is scenariodependent. Afaqui et al [18] proposed a framework to adapt the ST values in IEEE 802.11ax networks based on the received interference generated by nearby APs.…”

Section: Related Workmentioning

confidence: 99%

Sense-Bandits: AI-based Adaptation of Sensing Thresholds for Heterogeneous-technology Coexistence Over Unlicensed Bands

Hirzallah¹,

Krunz²

2021

Preprint

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In this paper, we present Sense-Bandits, an AI-based framework for distributed adaptation of the sensing thresholds (STs) over shared spectrum. This framework specifically targets the coexistence of heterogenous technologies, e.g., Wi-Fi, 4G Licensed-Assisted Access (LAA), and 5G New Radio Unlicensed (NR-U), over unlicensed channels. To access the channel, a device compares the measured power with a predefined ST value and accordingly decides if the channel is idle or not. Improper setting of the ST values creates asymmetric sensing floors, resulting in collisions due to hidden terminals and/or reduction in the spatial reuse due to exposed terminals. Optimal ST setting is challenging because it requires global knowledge of mobility, traffic loads, and channel access behavior of all contending devices. Sense-Bandits tackles this problem by employing a clustering-based multi-armed bandit (MAB) algorithm, which adapts its learning behavior based on network dynamics. Clustering allows the algorithm to track network changes in real-time, ensuring fast learning of the best ST values by classifying the state and dynamics of coexisting networks. We develop a C++-based network simulator that implements Sense-Bandits and we apply it to evaluate the coexistence of Wi-Fi and 5G NR-U systems over the unlicensed 5 GHz U-NII bands. Our simulation results indicate that ST-adaptive devices employing Sense-Bandits do not harm neighboring devices that adopt a fixed ST value.

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Section: Related Workmentioning

confidence: 99%

Sense-Bandits: AI-based Adaptation of Sensing Thresholds for Heterogeneous-technology Coexistence Over Unlicensed Bands

Hirzallah¹,

Krunz²

2021

Preprint

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“…Due to the scarcity of wireless resources, how to effectively utilize wireless resources is the most popular research issue. Currently, many state-of-the-art extensions to traditional DCF have been proposed to mitigate cochannel interference in dense WLANs, such as cochannel concurrency transmission [6,[9][10][11][12] and transmission power control (TPC) [13][14][15][16]. In [9], Vutukuru et al propose CMAP algorithm to build a conflict map for each node by using empirical observations of packet loss and the map differentiating manner between interfering and noninterfering links.…”

Section: Related Workmentioning

confidence: 99%

“…Other studies on improving the channel utilization in WLANs include TPC technology and its extensions. In [14], the authors present a spatial reuse algorithm integrating with Dynamic Sensitivity Control (DSC) and transmission power control (TPC), which only supports two-BSS (Basic Service Set) network operating and uplink traffic scheduling. In [15], the authors mitigate the interference by optimizing the transmission power and Clear Channel Assessment (CCA) threshold jointly.…”

Section: Related Workmentioning

confidence: 99%

SDN-Based Centralized Downlink Scheduling with Multiple APs Cooperation in WLANs

Lei

Wang

Xia

2019

Wireless Communications and Mobile Computing

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Conventional DCF and RTS/CTS mechanisms perform the channel contention by a distributed and independent manner, which can lead to severe cochannel interference and low channel utilization in multiple APs dense deployment scenario. In this paper, we propose a channel scheduling cooperation algorithm called CCT-SDN (centralized concurrent transmission based on SDN) that enables multiple APs (Access Points) to perform cooperatively a centralized downlink transmission control, thus achieving higher system throughput and channel utilization by avoiding cochannel interference and implementing concurrent transmission. This design inherits the merit of the conventional distributed random channel access and adopts standardized OpenFlow protocol and Software Defined Network (SDN) architecture to make a centralized concurrent downlink traffic transmission decision among APs. Meanwhile, we also present a novel neighborhood relation storage scheme called SPRIM to enhance the retrieving efficiency of SDN controller, which enables CCT-SDN to perform a real-time control. Moreover, we also develop a theoretical model to prove the improvement of CCT-SDN. Furthermore, our solution does not require any modifications to existing ubiquitous 802.11 terminal devices and thus is likely to be widely deployed. Finally, extensive simulation results on Mininet-WiFi verify that CCT-SDN can achieve significant performance in terms of aggregate throughput, channel utilization, and packet loss rate in different deployment scenarios.

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Research and Performance Evaluation of Spatial Reuse Technology for Next Generation WLAN

Zhao

Yang

et al. 2019

Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Improved Spatial Reuse for Dense 802.11 WLANs

Cited by 7 publications

References 5 publications

Sense-Bandits: AI-based Adaptation of Sensing Thresholds for Heterogeneous-technology Coexistence Over Unlicensed Bands

Sense-Bandits: AI-based Adaptation of Sensing Thresholds for Heterogeneous-technology Coexistence Over Unlicensed Bands

SDN-Based Centralized Downlink Scheduling with Multiple APs Cooperation in WLANs

Research and Performance Evaluation of Spatial Reuse Technology for Next Generation WLAN

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