Research On Energy Efficient Base Station Deployment Based On Traffic Distribution In Heterogenous Network

With the rapid development of wireless network and mobile services, users are requiring higher quality of user experience. To solve this problem, a novel architecture including many low-power nodes is needed to satisfy high data traffic demand, instead of traditional network with only one tier macro base station. On the other hand, the increase of network scale leads to severe energy consumption. Therefore, both resource allocation and energy efficiency should be taken into consideration when designing the wireless network. It’s known that energy cost of base station occupies the majority of the whole wireless access network, which means energy saving of base stations should be focused on. However, existing research on base station deployment does not consider the real traffic situation in the network, where is worth paying more attention. The main contributions of this paper are as following:First, traffic distribution is analyzed with the data collected from base stations in current networks. Results show that services are distributed non-uniformly in both spatial and temporal domains. In other words, there is great potential to deploy base stations based on the characteristic of traffic distribution.Secondly, a novel scheme of deploying small base stations is optimized, considering the spatial non-uniform distribution. Simulations demonstrate improvements of traffic coverage, as well as the energy efficiency of the network, with the optimization of proposed scheme.Finally, a base station deploying strategy, taking non-uniform distribution in spatial-temporal dimension into account, is presented. It turns out that the strategy recommended here is much better than other strategies, with less small base stations but higher energy efficiency.