The aim of this study is to improve the performance of two-tier macro/femtocell networks using a powercontrol approach. In wireless networks, powercontrol plays an important role in improving a number of performance...
详细信息
The aim of this study is to improve the performance of two-tier macro/femtocell networks using a powercontrol approach. In wireless networks, powercontrol plays an important role in improving a number of performance parameters such as co-channel interference and outage probability reduction, throughput increasing, and power saving. This study explores the evolution of centralisedpowercontrolalgorithm based on femtocell base station (FBS) clustering and predicted signal-to-interference-plus-noise ratio (SINR) of users. To reduce the computational complexity of centralisedalgorithm, dense deployed femtocells are considered in different clusters. In this case, femtocells inside one cluster make considerable interference to each other, while the interferences from femtocells of other clusters are negligible. Moreover, because of the non-linearity of SINR samples, non-linear logistic smooth transition autoregressive (LSTAR) model is used to model the SINR data, and then the next SINR samples are predicted from the previous samples. According to the clustered FBSs and predicted SINR, the proposed powercontrol scheme is applied to femtocell network in the downlink. The results demonstrate that the introduced method improves the outage probability and throughput and outperforms previous methods significantly.
暂无评论