Utility-optimization dynamic subcarrier allocation algorithm for SC-FDMA systems  

作　　者：李一兵 Zhang Xu Ye Fang 

机构地区：[1]School of Information & Communication Engineering,Harbin Engineering University

出　　处：《High Technology Letters》2014年第1期1-8,共8页高技术通讯（英文版）

基　　金：Supported by the National Basic Research Program of China(No.61393010101-1);the Defense-related Science & Technology Pre-Research Project of Shipbuilding Institute(No.10J3.1.6)

摘　　要：Two utility-optimization dynamic subcarrier allocation(DSA) algorithms are designed for single carrier frequency division multiple access system(SC-FDMA).The two proposed algorithms aim to support diverse transmission capacity requirements in wireless networks,which consider both the channel state information(CSI) and the capacity requirements of each user by setting appropriate utility functions.Simulation results show that with considerable lower computational complexity,the first utility-optimization algorithm can meet the system capacity requirements of each user effectively.However,the rate-sum capacity performance is poor.Furthermore,the second proposed utility-optimization algorithm can contribute a better trade-off between system rate-sum capacity requirement and the capacity requirements of each user by introducing the signal to noise ratio(SNR) information to the utility function based on the first utility-optimization algorithm,which can improve the user requirements processing capability as well as achieve a better sum-rate capacity.Two utility-optimization dynamic subcarrier allocation （DSA） algorithms are designed for single carrier frequency division multiple access system （SC-FDMA）. The two proposed algorithms aim to support diverse transmission capacity requirements in wireless networks, which consider both the channel state information （CSI） and the capacity requirements of each user by setting appropriate utility functions. Simulation results show that with considerable lower computational complexity, the first utility-optimization algorithm can meet the system capacity requirements of each user effectively. However, the rate-sum capacity performance is poor. Furthermore, the second proposed utility-opti- mization algorithm can contribute a better trade-off between system rate-sum capacity requirement and the capacity requirements of each user by introducing the signal to noise ratio （SNR） informa- tion to the utility function based on the first utility-optimization algorithm, which can improve the us- er requirements processing capability as well as achieve a better sum-rate capacity.

关 键 词：single carrier frequency division multiple access （SC-FDMA） dynamic subcarri-er allocation （DSA） utility function transmission capacity requirements utility-optimization algo-rithm greedy algorithm proportional fair algorithm 

分 类 号：TP301.6[自动化与计算机技术—计算机系统结构]