A Practical Air Time Control Strategy for Wi-Fi in Diverse Environment

Fang, Yudong; Doray, Bernard; Issa, Omneya

doi:10.1109/wcncw.2017.7919116

Cited by 5 publications

(3 citation statements)

References 8 publications

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“…The study overlooks a limited bandwidth in which it is not physically possible for all the traffic flows to be transmitted. In [10], an air time allocation algorithm is presented, which ensures fair air time allocation between high and low bandwidth users. This study focuses on WiFi, which uses an unlicensed spectrum, compared to 5G operating on a licensed spectrum.…”

Section: Related Researchmentioning

confidence: 99%

“…In this paper, the focus is on sub-slice UL prioritization demonstrated in a commercial 5G non-standalone (NSA) network. In [8][9][10][11][12] HTB was used, but vertical use case was not smart grids. While in [14][15][16][17][18] vertical use case was smart grids, but the traffic shaping methods were prioritized spectrum access scheme, priority-based traffic scheduling, and hierarchical adaptive weighting algorithms.…”

Section: Related Researchmentioning

confidence: 99%

See 1 more Smart Citation

Improving Reliability of Protection Communication in a 5G Slice

Raussi

Kokkoniemi-Tarkkanen²,

Ahola³

et al. 2023

Preprint

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5G network slicing is a promising solution to prioritize time-critical protection communication in wireless networks. However, recent trends indicate that a 5G slice could encompass all smart grid applications lacking the necessary granularity. At the same time, while substation communication standards recommend prioritization of protection communication traffic to improve reliability, these recommendations are only for wired connections. Therefore, this paper investigates traffic shaping and uplink (UL) bitrate adaptation of video stream based on existing commercial solutions as methodologies for prioritizing the protection communication in a 5G slice. These methodologies are validated in an experimental setup combining controller-hardware-in-the-loop (CHIL) simulation with a quality of service (QoS) measurement system. The system under test consists of commercial 5G networks, commercial intelligent electronic devices (IEDs), and merging units to validate the methodologies on three smart grid applications: fault location, line differential, and intertrip protection. The results show improvement in protection communication when traffic shaping and UL bitrate adaptation are applied. Traffic shaping even improves prioritization with a wired connection.

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Section: Related Researchmentioning

confidence: 99%

Section: Related Researchmentioning

confidence: 99%

Improving Reliability of Protection Communication in a 5G Slice

Raussi

Kokkoniemi-Tarkkanen²,

Ahola³

et al. 2023

Preprint

View full text Add to dashboard Cite

show abstract

“…Reference [ 2 ] developed a light-weight implementation using only software, which is applicable to a commercial WiFi device. Reference [ 19 ] implemented a portable airtime allocation scheduler, which runs on any Linux-based WiFi device. Reference [ 20 ] developed a device enhancing the performance in an 802.11 infrastructure wireless LAN environment by alleviating performance anomalies including multi-rate anomaly.…”

Section: Related Workmentioning

confidence: 99%

A Responsible Airtime Approach for True Time-Based Fairness in Multi-Rate WiFi Networks

Park

2018

Sensors

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Airtime fairness, or time-based fairness, has been well recognized as a method to solve WiFi performance anomalies and provide a balance between fairness and spectrum efficiency in multi-rate wireless networks. However, the definition of airtime is vague and simplistic. In this paper, it is demonstrated that current airtime fair scheduling results in unfairness in reality because overheads are neglected or unfairly counted. We introduce a notion of responsible airtime, which covers not only the data transmission time, but also all overheads, even a TCP ACK segment in TCP traffic. An approach based on responsible airtime can provide true time-based fairness, but responsible airtime is too complicated to directly handle. A practical method is thus introduced for evaluating responsible airtime fairness indirectly via throughput measurement. The key element, throughput fair share, of a node, is based on the baseline property in time-based fairness. For each node, an achieving ratio of actual throughput to the throughput fair share is determined, and a new fairness index considering deficiency as well as equity is applied. To validate the feasibility of responsible airtime fairness, we have developed a simple responsible airtime fair scheduler in access points for download traffic. Extensive simulation experiments are conducted in various network and traffic environments using the ns3 simulator. The results show that true time-based fairness is achievable in practice.

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Analysis of Airtime Fairness Technology Application for Fair Allocation of Time Resources for IEEE 802.11 Networks

Tokar

Krasnozheniuk

2023

Lecture Notes on Data Engineering and Communications Technologies

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A Practical Air Time Control Strategy for Wi-Fi in Diverse Environment

Cited by 5 publications

References 8 publications

Improving Reliability of Protection Communication in a 5G Slice

Improving Reliability of Protection Communication in a 5G Slice

A Responsible Airtime Approach for True Time-Based Fairness in Multi-Rate WiFi Networks

Analysis of Airtime Fairness Technology Application for Fair Allocation of Time Resources for IEEE 802.11 Networks

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