Study of self-optimization deployment cascade control scheme based on FDD - OFDMA for indoor small cell

• Main Authors: Guan-Yi Liu, 劉冠毅
• Other Authors: Jeich Mar
• Format: Others
• Language: zh-TW
• Published: 2016
• Online Access: http://ndltd.ncl.edu.tw/handle/kn652x

碩士 === 元智大學 === 通訊工程學系 === 104 === Self-optimization technique is an effective method to perform the indoor small cell deployment. An adaptive neural fuzzy inference system (ANFIS) based self-optimization deployment control (SODC) algorithm is proposed for frequency division duplexing (FDD)-orthogonal frequency division multiplexing access (OFDMA) indoor small cell to enable easy installation, multi-user(MU) service reliability, optimum throughput, power saving, minimum interference and good cell coverage. The major research items of the thesis include the simulations of blocking error rate (BLER) of downlink OFDM transceiver over indoor office A (IOA) channel to generate the signal-to-interference-plus-noise ratio (SINR) threshold; using the installed indoor small cell to measure the reference signal received power (RSRP) and calculate path loss and RSRP standard deviation; using the results of simulations and measurements to generate the training data for the ANFIS and train the ANFIS models; finally, performance of the proposed algorithm is verified through the simulation experiments. Simulation results demonstrate that the present algorithm can make FDD-OFDMA indoor small cell base station deployment with the advantages of high service reliability, low power consumption and low co-channel interference between the neighboring cells and indoor small cell.