OPTIMASI POSISI PILOT MENGGUNAKAN ALGORITMA GENETIKA UNTUK MENINGKATKAN KINERJA Wi-Fi 802.11n

• Main Authors: Wahyul Amien Syafei, Yunda Kumala Nasution, Sukiswo Sukiswo
• Format: Article
• Language: English
• Published: Diponegoro University 2013-12-01
• Series: Teknik
• Subjects: Wi-fi, IEEE802.11n, Pilot Allocation, Genetic Algorithm Differential Evolution
• Online Access: http://ejournal.undip.ac.id/index.php/teknik/article/view/6984
• ISSN: 0852-1697; 2460-9919

<p><em>Wi</em><em>-Fi </em><em>is wireless </em><em>communication </em><em>technology that  used </em><em>widely not only </em><em>for </em><em>accessing the internet but also communicating data, image, </em><em>voice and </em><em>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. Th</em><em>is research optimizes the pilot </em><em>location </em><em>using G</em><em>enetic </em><em>A</em><em>lgorithm </em><em>D</em><em>ifferential </em><em>E</em><em>volution</em><em>. 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.</em><em>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.</em></p>