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Aggregation-Based Dynamic Channel Bonding to Maximise the Performance of Wireless Local Area Networks (WLAN)
by
Karras, Dimitrios A.
, Ahmadi, Fardin
, Altamirano, Gilder Cieza
, Parashar, Vivek
, Kashyap, Ramgopal
, Rizwan, Ali
, Dixit, Ekta
in
Agglomeration
/ Algorithms
/ Bandwidths
/ Bonding
/ Channels
/ Decentralization
/ Ethernet
/ Frequencies
/ Local area networks
/ Multimedia
/ Power
/ Traffic capacity
/ Wireless networks
2022
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Aggregation-Based Dynamic Channel Bonding to Maximise the Performance of Wireless Local Area Networks (WLAN)
by
Karras, Dimitrios A.
, Ahmadi, Fardin
, Altamirano, Gilder Cieza
, Parashar, Vivek
, Kashyap, Ramgopal
, Rizwan, Ali
, Dixit, Ekta
in
Agglomeration
/ Algorithms
/ Bandwidths
/ Bonding
/ Channels
/ Decentralization
/ Ethernet
/ Frequencies
/ Local area networks
/ Multimedia
/ Power
/ Traffic capacity
/ Wireless networks
2022
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Do you wish to request the book?
Aggregation-Based Dynamic Channel Bonding to Maximise the Performance of Wireless Local Area Networks (WLAN)
by
Karras, Dimitrios A.
, Ahmadi, Fardin
, Altamirano, Gilder Cieza
, Parashar, Vivek
, Kashyap, Ramgopal
, Rizwan, Ali
, Dixit, Ekta
in
Agglomeration
/ Algorithms
/ Bandwidths
/ Bonding
/ Channels
/ Decentralization
/ Ethernet
/ Frequencies
/ Local area networks
/ Multimedia
/ Power
/ Traffic capacity
/ Wireless networks
2022
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Aggregation-Based Dynamic Channel Bonding to Maximise the Performance of Wireless Local Area Networks (WLAN)
Journal Article
Aggregation-Based Dynamic Channel Bonding to Maximise the Performance of Wireless Local Area Networks (WLAN)
2022
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Overview
Channel bonding is considered by the IEEE 802.11ac amendment to improve wireless local area network (WLAN) performance. In this article, the channel bonding and aggregation method were proposed to increase wireless local area network performance (WLANs). It combines many channels (or lanes) to boost the capacity of modem traffic. Channel bonding is the combination of two neighbouring channels within a certain frequency band to increase wireless device throughput. Wi-Fi employs channel bonding, also known as Ethernet bonding. Channel bandwidth is equal to the uplink/downlink ratio multiplied by the operational capacity. A single 20 MHz channel is divided into two, four, or eight power channels. At 80 MHz, there are more main and smaller channels. Performance of short-range WLANs is determined through graph-based approach. The two-channel access techniques including channel bonding proposed for the IEEE 802.11ac amendment are analysed and contrasted. The novel channel sizing algorithm based on starvation threshold is proposed to expand the channel size to improve WLAN performance. Second-cycle throughput is estimated at 20 Mbps, much beyond the starvation threshold. Our test reveals access points (AP) 1, 2, and 4 have enough throughput. A four-AP WLAN with a 5-Mbps starvation threshold is presented. C160 = 1 since there is only one 160 MHz channel. MIR (3, 160 (a, a, a)) =0, indicating that AP 3’s predicted throughput is 0. The algorithm rejects the 160 MHz channel width since ST is larger than 0. The channel width in MHz is given by B =0,1 MIR. The MIR was intended to maximise simultaneous broadcasts in WLANs. The authors claim that aggregation with channel bonding outperforms so all WLAN APs should have a single-channel width. It usually outperforms fairness-based measures by 15% to 20%. Wi-Fi standards advise “channel bonding,” or using higher frequency channels. Later standards allow channel bonding by increasing bands and channel lengths. Wider channels enhance average WLAN AP throughput, but narrower channels reduce appetite. Finally, it is concluded that APs are more useful than STAs.
Publisher
Hindawi,John Wiley & Sons, Inc
Subject
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