1. 北京邮电大学电信工程学院,北京,100876
2. 北京邮电大学泛网无线通信教育部重点实验室,北京,100876
3. 北京邮电大学电信工程学院,北京,100876
4. 北京邮电大学泛网无线通信教育部重点实验室,北京,100876
纸质出版:2007
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徐瑨, 陶小峰, 刘宝玲, 等. 广义分布式网络架构下的多用户联合干扰抑制[J]. 电子学报, 2007,35(6A):141-145.
XU Jin, TAO Xiao-feng, LIU Bao-ling, et al. Multi-User Joint Interference Suppression in Generalized Distributed Network[J]. Acta Electronica Sinica, 2007, 35(6A): 141-145.
针对广义分布式网络架构中相邻小区多用户干扰抑制的理论空白
构建了干扰小区集合的系统模型
继而提出两种该架构下可行的多用户联合干扰抑制算法.其中
交叉迭代联合检测(CI-JD
Crossed Iterative Joint Detec- tion)算法利用多用户之间的逐级干扰消除
可以在运算复杂度增加不多的情况下显著改善系统性能;全局联合检测(G-JD
Global Joint Detection)算法通过对多用户信息的统一建模
有效抑制了相邻小区用户间的干扰
同时获得系统分集增益.仿真结果验证了本文所述两种算法的可行性及有效性.
In order to solve the problem of mufti-user interference among neighbor cells under generalized distributed net-work
system model of interference cell set is established
followed by two proposed algorithms for mufti-user joint interference suppression.In which
the Crossed Iterative Joint Detection(CI-JD) algorithm performs stepwise interference cancellation among multiusers and could improve the system performance effectively with a little extra complexity
while the Global Joint Detection(GI-JD) algorithm builds a unified model with mufti-users' infomtation and could not only restrain mufti-user interference but also obtain divecsity gain in the process of detection.Simulation results validate the feasibility and significant effect of the two algorithms.
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