重庆理工大学学报（自然科学版）2016，Vol.30Issue(8)：129-136,8.DOI:10.3969/j.issn.1674-8425(z).2016.08.021
基于奇异值分解的低复杂度MIMOOFDM系统自适应调制算法
Low-Complexity Adaptive Modulation Algorithm for MIMO-OFDM Systems Based on Singular Value Decomposition
摘要
Abstract
A low complexity adaptive modulation algorithm for MIMO-OFDM systems was proposed. For the first frame data,the sorted singular values sub-channels were divided into homogeneous continuous frequency domain group.The optimal algorithm was used to allocate the bits and power of all sub-channels and assign result was stored.For subsequent data frames,the bits and power allocation for the sub-channels were always the same as the first frame allocation result,so the algorithm complexity was extremely low.Simulation result shows that,under the premise of ensuring the transmission quality,the algorithm can effectively reduce computation complexity and the delay of the bits and power allocation of the first frame and improve spectrum utilization of the system in the case of large number of singular values.关键词
MIMO-OFDM/奇异值分解/自适应调制/频域分组Key words
MIMO-OFDM/singular value decomposition/adaptive modulation/frequency domain grouping分类
计算机与自动化引用本文复制引用
李莉,卢晓轩,殷志强,赵文强..基于奇异值分解的低复杂度MIMOOFDM系统自适应调制算法[J].重庆理工大学学报（自然科学版）,2016,30(8):129-136,8.基金项目
中央高校基本科研业务费专项资金资助项目 （）
