Improving of Fairness by Dynamic Sensitivity Control and Transmission Power Control with Access Point Cooperation in Dense WLAN

Iwai, Koki; Ohnuma, Takanobu; Shigeno, Hiroshi; Tanaka, Yusuke

doi:10.1109/ccnc.2019.8651714

Cited by 8 publications

(3 citation statements)

References 4 publications

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“…The paper also assumes that the transmission power of stations and access points is constant. However, some research studies [ 31 , 32 ] indicate that to maximize the area network throughput, the level of transmitting power or the carrier sensing threshold, especially in dense networks, should be controlled by an appropriate algorithm. In the real network, rate adaptation algorithms are also used, rather than constant MCS values, which can also affect the optimization process [ 10 , 33 ].…”

Section: Discussionmentioning

confidence: 99%

An Analysis of the Mixed IEEE 802.11ax Wireless Networks in the 5 GHz Band

Natkaniec,

Bieryt

2023

Sensors

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This paper presents an analysis of the IEEE 802.11ax networks’ coexistence with legacy stations, namely IEEE 802.11ac, IEEE 802.11n, and IEEE 802.11a. The IEEE 802.11ax standard introduces several new features that can enhance network performance and capacity. The legacy devices that do not support these features will continue to coexist with newer devices, creating a mixed network environment. This usually leads to a deterioration in the overall performance of such networks; therefore, in the paper, we want to show how we can reduce the negative impact of legacy devices. In this study, we investigate the performance of mixed networks by applying various parameters to both the MAC and PHY layers. We focus on evaluating the impact of the BSS coloring mechanism introduced to the IEEE 802.11ax standard on network performance. We also examine the impact of A-MPDU and A-MSDU aggregations on network efficiency. Through simulations, we analyze the typical performance metrics such as throughput, mean packet delay, and packet loss of mixed networks with different topologies and configurations. Our findings indicate that implementing the BSS coloring mechanism in dense networks can increase throughput by up to 43%. We also show that the presence of legacy devices in the network disrupts the functioning of this mechanism. To address this, we recommend using an aggregation technique, which can improve throughput by up to 79%. The presented research revealed that it is possible to optimize the performance of mixed IEEE 802.11ax networks.

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Section: Discussionmentioning

confidence: 99%

An Analysis of the Mixed IEEE 802.11ax Wireless Networks in the 5 GHz Band

Natkaniec,

Bieryt

2023

Sensors

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“…The employed spatial grouping technology in [ 8 ] can be combined with the power control technology, such that multiple spatial groups can be simultaneously transmitting or receiving, i.e., improve the spatial reuse gain. The power control technology can reduce the signal coverage, and thus eliminates the overlapping area and reduces the collisions [ 9 , 10 , 11 , 12 , 13 ]. In [ 14 ], it is proved that power control can effectively reduce the adjacent interference and improve the saturated throughput.…”

Section: Introductionmentioning

confidence: 99%

A Spatial Group-Based Multi-User Full-Duplex OFDMA MAC Protocol for the Next-Generation WLAN

Peng

Yan

et al. 2020

Sensors

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The Wireless Local Area Network (WLAN) has become a dominant piece of technology to carry wireless traffic for Internet of Things (IoT). The next-generation high-density WLAN scenario is very suitable for the development trend of the industrial wireless sensor network. However, in the high-density deployed WLAN scenarios, the access efficiency is low due to severe collisions, and the interference is diffused due to the scattered locations of the parallel access stations (STAs), which results in low area throughput, i.e., low spatial reuse gain. A spatial group-based multi-user full-duplex orthogonal frequency division multiple access (OFDMA) (GFDO) multiple access control (MAC) protocol is proposed. Firstly, the STAs in the network are divided into several spatial groups according to the neighbor channel sensing ability. Secondly, a two-level buffer state report (BSR) information collection mechanism based on P-probability is designed. Initially, intra-group STAs report their BSR information to the group header using low transmission power. After that, group headers report both their BSR information collected from their members and inter-group interference information to the access point (AP). Finally, AP schedules two spatial groups without mutual interference to carry on multi-user full duplex transmission on the subchannels in cascading mode. The closed-form formulas are theoretically derived, including the number of uplink STAs successfully collected by AP, the network throughput and area throughput under saturated traffic. The simulation results show that the theoretical analysis coincide with the simulation results. The system throughput of the GFDO protocol is 16.8% higher than that of EnFD-OMAX protocol.

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“…Also, the transmission power exceeding the minimal requirement on the links of the UAVs increases the possibility of the interference or unexpected silence of the wireless medium, which drops the channel use. Although there were some studies actively controlling the transmission power [9][10][11], the targeted network topology is constrained such as WLAN, and the existence of the centralized coordinators could limit the extensibility of multi-UAV operation. To resolve the power consumption problem, constructing a Minimum Spanning Tree (MST) of the network and minimizing the transmission power can be desirable.…”

Section: Introductionmentioning

confidence: 99%

Energy-Efficient Topology Control for UAV Networks

Park

Kim

2019

Energies

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Following striking developments in Unmanned Aerial Vehicle (UAV) technology, the use of UAVs has been researched in various industrial fields. Furthermore, a number of studies on operating multiple autonomous networking UAVs suggest a potential to use UAVs in large-scale environments. To achieve efficiency of performance in multi-UAV operations, it is essential to consider a variety of factors in UAV network conditions, such as energy efficiency, network overhead, and so on. In this paper, we propose a novel scheme that improves the energy efficiency and network throughputs by controlling the topology of the network. Our proposed network topology control scheme functions between the data link layer (L3) and the network layer (L2). Accordingly, it can be considered to be layer 2.5 in the network hierarchy model. In addition, our methodology includes swarm intelligence, meaning that whole topology control can be generated with less cost and effort, and without a centralized controller. Our experimental results confirm the notable performance of our proposed method compared to previous approaches.

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Improving of Fairness by Dynamic Sensitivity Control and Transmission Power Control with Access Point Cooperation in Dense WLAN

Cited by 8 publications

References 4 publications

An Analysis of the Mixed IEEE 802.11ax Wireless Networks in the 5 GHz Band

An Analysis of the Mixed IEEE 802.11ax Wireless Networks in the 5 GHz Band

A Spatial Group-Based Multi-User Full-Duplex OFDMA MAC Protocol for the Next-Generation WLAN

Energy-Efficient Topology Control for UAV Networks

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