| 摘要: |
| 现有非正交多址接入技术中，用户分组算法的实现首先对信道相似度门限值进行判断，选出候选成组用户；进而对候选成组用户的信道增益差进行比较，选出最优的成组用户。然而，上述分步求解算法中信道相似度门限值的设置存在一定的随机性，导致候选成组用户的选取不准确，从而影响分组结果，限制系统性能的提升。针对上述问题，提出利用对称矩阵的用户分组算法，对用户信道相似度进行非线性变换，而后将用户信道相似度和增益差线性求和构建成新的信道信息矩阵，进一步利用该矩阵的对称性进行求解。仿真分析表明该方法分组结果比设置门限的传统方法更优，在不同用户数目时系统容量均得到提升。在传统方法门限值为0.95时，所提算法系统容量在用户数为16时提升了13.4 Mb/s。 |
| 关键词: 非正交多址接入 用户分组 对称矩阵 系统性能 |
| DOI： |
|
| 基金项目:国家高技术研究发展计划(863计划)项目( 2014AA01A701) |
|
| User clustering based on symmetric matrix in non-orthogonal multiple access technology |
| YU Zhonghua,LIU Zhanjun,SHEN Yue,CHEN Qianbin |
| () |
| Abstract: |
| In the non-orthogonal multiple access(NOMA) technology,the existing user clustering algorithm is achieved by judging the threshold value of channel similarity to get the candidate users firstly,and then the optimal grouping users are selected by comparing the channel gain-difference of the candidate grouping users. However,the threshold setting of channel similarity has a certain randomness which leads to inaccuracy of the selection of candidate grouping users in the above multi-stage algorithm,and further affects the results of user clustering and improvement of system performance.In order to solve above problem,a user clustering algorithm using symmetric matrix in NOMA technology is proposed,wherein a nonlinear transformation of channel similarity is performed,and then a new matrix which denotes channel state information of user channel similarity and user channel gian-difference is constructed. Furthermore,all the solutions of user clustering groups can be obtained by utilizing symmetry characteristic of matrix.Simulation results show that the proposed algorithm is better than the traditional algorithm by setting threshold value,and the system capacity is enhanced when the number of users is changed. When the threshold is 0.95 in traditional algorithm,the system capacity is improved about 13.4 Mb/s when the time of the number of users is 16 by using the proposed algorithm. |
| Key words: non-orthogonal multiple access(NOMA) user clustering symmetric matrix sum capacity |
《电讯技术》编辑部 