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Yunda Kumala Nasution
Staf Pengajar Jurusan Teknik Elektro Fakultas Teknik Universitas Diponegoro
Engineering

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OPTIMASI POSISI PILOT MENGGUNAKAN ALGORITMA GENETIKA UNTUK MENINGKATKAN KINERJA Wi-Fi 802.11n Syafei, Wahyul Amien; Nasution, Yunda Kumala; Sukiswo, Sukiswo
TEKNIK Volume 34, Nomor 3, Tahun 2013
Publisher : Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (300.849 KB) | DOI: 10.14710/teknik.v34i3.6984

Abstract

Wi-Fi is wireless communication technology that  used widely not only for accessing the internet but also communicating data, image, voice and video. The newest wi-fi technology is 802.11n as an extention of 802.11a/b/g. By  combining OFDM and MIMO techniques it can provide throughput up to 600Mbps. One of important factors to achieve such high throughput is the pilot position in training sequence. Wi-fi802.11n allocates it’s pilots orthogonally. This research optimizes the pilot location using Genetic Algorithm Differential Evolution. Optimum pilot position improves the accuracy of synchronization which leads to enhance the performance. The invented optimum pilot position set then be implemented into wi-fi 802.11n simulator to be analyzed the performance enhancement which represented in grafic BER vs SNR curve.Run test under channel model B and D proof that the invented optimum pilot position gives performance enhancement of 0,5 dB and maintain it’s stability compared towi-fi 802.11n system with  set ortogonal pilot position.
Co-Authors Sukiswo Sukiswo Wahyul Amien Syafei