Kalman滤波预测的多小区子载波分配方法  

Multicell Subcarrier Allocation Based on Kalman Filter Forecast

作　　者：章辉[1,2] 李静雅[1,2] 许晓东[1,2] 王爽 张平[1,2] 

机构地区：[1]北京邮电大学无线新技术研究所,北京100876 [2]泛网无线通信教育部重点实验室(北京邮电大学),北京100876 [3]SK电讯

出　　处：《北京邮电大学学报》2009年第3期86-90,共5页Journal of Beijing University of Posts and Telecommunications

基　　金：国家自然科学基金项目(60496312);国家高技术研究发展计划项目(2006AA01Z283);SK电讯项目;中端合作项目(2008DFA12110);北京市科委项目(D08080100620802)

摘　　要：为了优化正交频分复用(OFDM)系统多小区间的子载波分配策略,消除基于当前信道状况分配的滞后性,提出了一种基于Kalman滤波预测的多小区子载波分配方法.该方法通过检测获取不同子载波对用户当前的增益干扰比(GIR),进而采用Kalman滤波估计得到下一时刻的GIR预测值大小,并以该预测值作为子载波分配的依据.与时间序列和维纳滤波预测方法相比,Kalman滤波方法降低了预测算法的复杂度.仿真结果表明,与基于当前GIR的载波分配方法相比,该方法使得小区吞吐量平均提高了7.87%,用户的阻塞率平均降低了19.96%,尤其是小区边缘的比特丢失率平均降低了50.85%.In order to optimize subcarrier allocation for multicell orthogonal frequency division multiplexing （OFDM） systems, and effectively reduce the time delay based on current channel information, a multicell subcarrier allocation method is proposed based on Kalman filter forecast. The current gain to interference ratio （GIR） among users and available subcarriers are got by measurement, and the GIR in the next time slot is forecasted by Kalman filter. Then the subearriers are allocated according to this forecasted GIR. Compared with time series and Vienna filter, the algorithm complexity is effectively reduced by Kalman filter forecast method. Moreover, compared with subcarrier allocation based on current GIR, simulation shows that the throughputs are averagely improved by 7.87%, but the blocking rates are averagely decreased by 19.96 %, specially, the bit loss rates in cell-edge are also averagely declined by 50.85 %.

关 键 词：正交频分复用 小区间干扰 KALMAN滤波 子载波分配 

分 类 号：TN911.4[电子电信—通信与信息系统]