A Generalization of Transmission Power Optimization Method for Concurrently Communicating Multiple Access-Points in Wireless Local-Area Network

Briantoro, Hendy; Funabiki, Nobuo; Munene, Kwenga Ismael; Rahman, Md. Mahbubur; Akhter, Fatema; Kao, Wen-Chung; Kuribayashi, Minoru

doi:10.1109/candarw51189.2020.00015

Cited by 2 publications

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“…In this section, we review our previous studies of the AP transmission power optimization method [ 11 ] and the throughput estimation model [ 12 , 13 ].…”

Section: Review Of Previous Studiesmentioning

confidence: 99%

“…To address the abovementioned problem, we previously proposed the AP transmission power optimization method for concurrently communicating APs in a WLAN. After assigning the orthogonal channels to minimize the interference, this method selects either the maximum or minimum transmission power to each AP such that the average signal-to-interference ratio (SIR) among the APs is maximized [ 10 , 11 ].…”

Section: Introductionmentioning

confidence: 99%

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An Interface Setup Optimization Method Using a Throughput Estimation Model for Concurrently Communicating Access Points in a Wireless Local Area Network

Akhter

Funabiki

Htet

et al. 2023

Sensors

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The IEEE 802.11 wireless local-area network (WLAN) has been deployed around the globe as a major Internet access medium due to its low cost and high flexibility and capacity. Unfortunately, dense wireless networks can suffer from poor performance due to high levels of radio interference resulting from adjoining access points (APs). To address this problem, we studied the AP transmission power optimization method, which selects the maximum or minimum power supplied to each AP so that the average signal-to-interference ratio (SIR) among the concurrently communicating APs is maximized.However, this method requires measurements of receiving signal strength (RSS) under all the possible combinations of powers. It may need intolerable loads and time as the number of APs increases. It also only considers the use of channel bonding (CB), although non-CB sometimes achieves higher performance under high levels of interference. In this paper, we present an AP interface setup optimization method using the throughput estimation model for concurrently communicating APs. The proposed method selects CB or non-CB in addition to the maximum or minimum power for each AP. This model approach avoids expensive costs of RSS measurements under a number of combinations. To estimate the RSS at an AP from another AP or a host, the model needs the distance and the obstacles between them, such as walls. Then, by calculating the estimated RSS with the model and calculating the SIR from them, the AP interface setups for a lot of APs in a large-scale wireless network can be optimized on a computer in a very short time. For evaluation, we conducted extensive experiments using Raspberry Pi for APs and Linux PCs for hosts under 12 network topologies in three buildings at Okayama University, Japan, and Jatiya Kabi Kazi Nazrul Islam University, Bangladesh. The results confirm that the proposed method selects the best AP interface setup with the highest total throughput in any topology.

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“…In this section, we review our previous studies of the AP transmission power optimization method [ 11 ] and the throughput estimation model [ 12 , 13 ].…”

Section: Review Of Previous Studiesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%