基于能效和用户服务质量的密集Macro-Femto蜂窝网络部署策略

Energy-efficient and QoS-supported deployment strategy of dense Macro-Femto cellular network

随着用户对流量需求的指数级增长,运营商密集地部署微蜂窝来满足用户的服务质量,然而这会引发巨大的能耗。基于此,在满足用户服务质量(QoS,quality of service)的条件下,提出一种密集的异构蜂窝网络的部署策略。首先,采用密集Macro-Femto偏置蜂窝网络建立模型,利用随机几何理论分析信干燥比(SINR)覆盖率和平均用户速率这2种QoS指标。然后,在满足QoS约束条件下,以平均区域功耗(ASPC,average spatial power consumption)作为优化目标,运用经典的最优化理论得到Femto的最优部署密度和发射功率。最后,通过仿真实验证明,与传统单独考虑基站密度的策略相比,提出的部署策略可以在保证QoS的同时,获得更高的能效。

With the exponentially increasing of users’demand for mobile data traffic,massive small cells have been deployed to satisfy the users’quality of service(QoS)by operators.However,a significant energy would be consumed caused by dense deployment.To this end,a dense heterogeneous cellular network deployment strategy was proposed with QoS guarantee to decline system energy consumption.Firstly,a dense Macro-Femto biased cellular network was used to build the network model,the two QoS indicators of SINR coverage and user average rate was analyzed by stochastic geometry theory.Then,under the condition of QoS constraint,average spatial power consumption(ASPC)was taken as the optimization goal,optimal deploy density and transmission power of Femto were achieved by using optimization theory.Finally,the experimental results show that,comparing with the traditional strategy which only considering base station density,the proposed strategy has advantages in terms of energy efficiency while QoS guarantee.