Predictive Channel Access in High Bandwidth Wireless LANs

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dc.contributor.author Kabir, Sami
dc.contributor.author Priom, Munasir Mahtab
dc.date.accessioned 2021-10-12T04:31:49Z
dc.date.available 2021-10-12T04:31:49Z
dc.date.issued 2012-11-15
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dc.identifier.uri http://hdl.handle.net/123456789/1166
dc.description Supervised by Dr. Muhammad Mahbub Alam, Computer Science and Engineering (CSE), Islamic University of Technology (IUT), Board Bazar, Gazipur-1704. Bangladesh. en_US
dc.description.abstract Modern technologies are increasing the Physical Layer (PHY) Data Transmission Rate in Wireless LANs from hundreds of Mbps in current 802.11n to over Gbps[2]. But overhead of MAC such as channel access and ACKs have restricted the proportionate improvement in terms of data throughput efficiency. The efficiency of WLANs has deteriorated from over 80% at 1 Mbps to under 10% at 1 Gbps [1]. It happens due to the allocation of the channel as a single resource at a time in conventional MAC protocol. In high data rate WLAN, the channel is divided into several subchannels based on PHY data rate and frame size so that multiple stations can contend for and use the subchannels based on the condition of their local queues simultaneously leading to improvement of throughput and general efficiency[2] In this paper, we propose Predictive Channel Access (PCA), a new system which constitutes two novel techniques for more efficient handling of media access by using the OFDM based PHY architecture. First, PCA uses Beacon Message which carries some fixed parameters to coordinate subchannel access. Second, the Access Point (AP) has a second antenna, called the listening antenna which facilitates the simultaneous uplink and downlink between AP and stations ensuring enhanced fairness among all nodes. en_US
dc.language.iso en en_US
dc.publisher Department of Computer Science and Engineering (CSE), Islamic University of Technology (IUT), Board Bazar, Gazipur-1704, Bangladesh en_US
dc.title Predictive Channel Access in High Bandwidth Wireless LANs en_US
dc.type Thesis en_US


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