Abstract:
On the basis of the structure of the Serial Interference Cancellation(SIC), this paper proposes a multi-user detection algorithm based on power-grouping of partial parallel soft interference cancellation. In the algorithm, users are divided into groups according to their power, parallel soft interference cancellation is used in the same groups and serial interference cancellation in different groups to detect the groups of users in turn by which the complexity of parallel interference cancellation is reduced. Theory analysis and simulation results show that the performance of the algorithm is better than other parallel interference cancellation algorithms and improves the system capacity.
Key words:
Partial Parallel Interference Cancellation(PPIC),
Serial Interference Cancellation(SIC),
soft interference cancellation,
multi-user detection
摘要: 在串行干扰消除结构的基础上,提出一种分组部分并行软干扰消除多用户检测算法。根据用户功率大小进行分组,组内采用并行软干扰消除检测,组间采用串行干扰消除算法,依次检测各组用户,从而降低并行结构的计算复杂度。理论分析和仿真结果表明,该算法能比传统的PIC算法、PPIC算法及MPIC算法等并行干扰消除算法取得更好的误码率性能,并提高系统的容量。
关键词:
部分并行干扰消除,
串行干扰消除,
软干扰消除,
多用户检测
CLC Number:
SHU Bing-Lian, LI Bei. Multi-user Detection of Grouping Partial Parallel Soft Interference Cancellation[J]. Computer Engineering, 2011, 37(2): 275-277.
朱冰莲, 李波. 分组部分并行软干扰消除的多用户检测[J]. 计算机工程, 2011, 37(2): 275-277.