Title :
Preamble Generation using Genetic Algorithm for MIMO Wireless LAN System
Author :
Oka, Tomohiko ; Sakaguchi, Yusuke ; Nagao, Yuhei ; Kurosaki, Masayuki ; Ochi, Hiroshi
Author_Institution :
Dept. of Comput. Sci. & Electron. Eng., Kyushu Inst. of Technol., Fukuoka
Abstract :
A plan for a 600 Mbps data rate with 20 m of propagation distance has been achieved in multiple-input multiple-output (MIMO) wireless LAN (WLAN) system by using a group layered space-time (GLST) algorithm. We report our design of preamble sequences that use a genetic algorithm (GA) for these WLAN systems. The design optimizes both the low peak to average power ratio (PAPR) and produces better autocorrelation characteristics. The GA can a calculate solution of high fitness. The computer simulations for MIMO WLAN systems show the effectiveness of our preamble.
Keywords :
MIMO communication; genetic algorithms; wireless LAN; MIMO wireless LAN system; autocorrelation characteristics; genetic algorithm; group layered space-time; multiple-input multiple-output; peak to average power ratio; preamble generation; Computer architecture; Computer simulation; Frequency synchronization; Genetic algorithms; MIMO; OFDM; Peak to average power ratio; Proposals; Throughput; Wireless LAN; Genetic Algorithm; IEEE802.11n; MIMO; Preamble; Wireless LAN;
Conference_Titel :
Advanced Communication Technology, The 9th International Conference on
Conference_Location :
Gangwon-Do
Print_ISBN :
978-89-5519-131-8
DOI :
10.1109/ICACT.2007.358706
