MC-CDMA sequence design with Multiobjective Optimization

• Main Authors: Gen-Ding Lee, 李鑑定
• Other Authors: Yinmam Lee
• Format: Others
• Language: zh-TW
• Published: 2010
• Online Access: http://ndltd.ncl.edu.tw/handle/50184823639027831124

碩士 === 國立暨南國際大學 === 通訊工程研究所 === 98 === In the uplink of multicarrier code division multiple access (MC-CDMA) systems, different users employ different spreading sequences to distinguish their transmitted data. In this uplink scenario, the peak-to-average power ratio (PAPR) and multiple access interference (MAI) resistance capability are largely affected by the spreading sequences used. If these two above-mentioned factors are kept at a low level, the performance of the considered MC-CDMA system will surely be improved. In this thesis, we apply multiobjective optimization techniques to tackle this problem. Both factors can then be deliberated and compromised in the design process to enhance the system performance. Specifically, NSGA-II from Multiobjecctive evolutionary algorithm (MOEA) is used to generate the complex spreading sequences and locate the Pareto front. We show that the resultant sequences can give a very good trade-off between the PAPR and MAI resistance capability.