Long range prediction for adaptive orthogonal frequency division multiplexing system

• Main Authors: Chun-Tsung Lin, 林俊宗
• Other Authors: Y.F. Chen
• Format: Others
• Language: zh-TW
• Published: 2008
• Online Access: http://ndltd.ncl.edu.tw/handle/9ds63b

碩士 === 國立中央大學 === 通訊工程研究所碩士在職專班 === 96 === To accomplish the increasing demand for all types of wireless services such as voice, data, and multimedia, orthogonal frequency division multiplexing (OFDM) technology is promoted. OFDM splits a high-rate data stream into a number of lower rate streams that are transmitted simultaneously over a number of sub-carrier. These sub-carriers typically overlap in frequency, but are designed not to interfere with each other as would be the case with traditional FDM, and may be efficiently separated by using a fast Fourier transform (FFT) algorithm. Adaptive orthogonal frequency division multiplexing (AOFDM) technology improves the ability of OFDM. To accomplish efficient adaptive channel loading, the channel state information (CSI) needs to be fed back to the transmitter. Since the fading channel varies rapidly for fast vehicle speeds, long range fading prediction is required for mobile AOFDM to insure reliable adaptation. In this thesis, we investigate several long range predictions in AOFDM system. We’d also know the characteristics of prediction algorithms by simulation results.