基于RSRQ的LTE网络干扰分析算法探讨

针对现网LTE在CQT过程中MR无下行信号与干扰加噪声比SINR测量值而导致网络干扰分析难度大的问题,文章提出一种基于参考信号接收质量(Reference Singnal Received Quality, RSRQ)的LTE无线网络干扰分析算法。该算法利用RSRQ和SINR的基本性质,构建两者的数学关系式,以达到利用MR数据分析LTE网络干扰的目的,提高了LTE无线网络优化工作效率。结果表明,该算法在实际应用中存在一定偏差,经过矫正后与实测结果基本吻合,从而验证了该算法在网络优化应用中的可行性。

TD-LTE网络主要干扰分析与解决规避

为快速定位TD-LTE网络干扰,并解决这些干扰问题,通过对各种干扰特征分析建立了干扰模型,基于这些模型快速定位现网的干扰类型,且总结出有效处理和规避方法,为处理TD-LTE网络干扰问题提供参考。

Coexistence Studies on the Interference Performance Between Mobile Satellite System and LTE Network

The interference coexistence performance between the systems of a Long Term Evolution(LTE) network and Mobile Satellite Service(MSS) system,both of which work around the frequency of approximately 2 GHz according to the bandwidth allocation in China,is proposed in this article.The related background of an MSS system and the common terminologies are introduced.Further,the coexistence scenarios of different coverage situations shared by the two systems are discussed.The interference impact of an MSS transmission on an LTE system is evaluated using a specific Monte Carlo method.Finally,simulation results show that although no crucial issues for the coexistence of an LTE downlink and the MSS are observed,the LTE uplink suffers a considerable amount of interference from the MSS transmission.Given the insufficient isolation between LTE and MSS existing networks,and the rapid advance in the field of LTE,problems may emerge in the near future.Further,this article can be of significance in providing reference for frequency spectrum planning in the existing LTE networks.

结合降噪自编码与极限学习机的LTE上行干扰分析

针对长期演进LTE网络上行干扰分类模型中噪声敏感、训练时间长的问题,建立了结合堆栈降噪自编码器与极限学习机的LTE网络上行干扰分析模型。使用上行干扰原始数据无监督地预训练堆栈降噪自编码(SDAE)提取高层抽象特征,并为极限学习机(ELM)分类器提供初始参数。该模型发挥了ELM收敛快和SDAE抑制噪声的优势,同时克服了ELM参数随机赋值造成的鲁棒性不足的问题。实验结果表明,该模型提高了LTE网络上行干扰分析的效率,并具有较强的鲁棒性。