ID 原文 译文
51957 该模型利用间接学习结构并结合递推最小二乘(RLS)算法对建立的预失真模型进行自适应预失真系统仿真。 The model uses the indirect learning structure and Recursive Least Square(RLS) adaptive identification algorithm to simulate the adaptive predistortion system.
51958 仿真结果表明，该模型与传统的双线性多项式模型相比，归一化均方误差(NMSE)提高了2. 6 dB，系数减少了34.3%，邻道功率泄漏比(ACPR)改善了约5 dB， The experimental results show that, compared with the traditional bilinear polynomial model, the Normalized Mean Square Error(NMSE) is improved by 2. 6 dB with 34. 3% reduction of the number of model coefficients and the improvement of Adjacent Channel Power Ratio(ACPR) of 5 dB.
51959 由此可知，该模型能够有效地补偿功率放大器的非线性失真。 Therefore, the model can effectively compensate the distortion of the power amplifier.
51960 泊松点过程(PPP)由于其理论可分析性和随机性而被广泛用于无线网络建模及分析， The Poisson Point Process(PPP) is widely used in wireless network modeling and analysis due to its theoretical analytic and random nature.
51961 但实际基站部署并不是完全随机的， However, the actual base station deployment is not completely random.
51962 针对基站在空间上存在互斥的情况，文章采用泊松硬核过程(PHCP)建模异构蜂窝网络(HCN)， In view of the mutual exclusion of base stations, we propose the Poisson Hard-Core Process(PHCP) to model the Homogeneous Cellular Network(HCN).
51963 选择基于最大信干比(SIR)准则的基站接入方案， We first choose a base station access scheme based on the Maximum Signal to Interference Ratio(SIR) criterion.
51964 采用每层泊松SIR近似方法推导出了两层基于PHCP的HCN的近似覆盖率。 Then per tier approximate SIR analysis based on PPP method is used to derive the approximate coverage of PHCP heterogeneous network.
51965 仿真结果表明，该方法所产生的近似覆盖率为实际覆盖率的渐近下边界， The simulation results show that the approximate coverage generated by this method is the lower bound of the actual coverage,
51966 并且PHCP网络的覆盖率优于PPP网络覆盖率，更适应于具有互斥性的实际基站部署。 and the coverage of the PHCP network is better than the PPP coverage, which is more suitable for the actual base station deployment with mutual exclusion.