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Optimal Energy Saving Through Joint Deployment of Relay Station and Sleep Mode Activation in 4G LTE-A Network

机译:通过中继站的联合部署和4G LTE-A网络中的睡眠模式激活来实现最佳节能

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The advancement of information and communication technology (ICT) facilitates high-speed data rate centric real-time applications including streaming of video and instant chat. More number of macrobase stations (BSs) are required to accommodate fast growing number of users which constitute for a radical increase in energy consumption of the network. In order to mitigate this problem, a sleep mode algorithm for evolved NodeB (eNBs) of LTE-A networks with simultaneously powering relay stations (RSs) is the key trends in 4G networks. The sleep mode algorithm for base station is mathematically modeled with set theory. In proposed system model, each eNB is interconnected through X2 links and with RSs deployed in the transmission areas of selected eNB. The real-time network traffic of base station is estimated by a two-way handshake process between eNBs and mobile station. The control server (CS) is placed in the selected eNB which will decide to activate the sleep mode for RSs and eNB based on the estimated real-time network traffic profile. The comparison of optimal power consumption of BSs with RS is extensively simulated. The performance of sleep mode algorithm considering temporal variations of real-time network traffic is validated on hourly based scenario using MATLAB R2013a. The simulation results of the proposed work prove that there is an enormous power saving per eNB per hour. This proposed scheme is well suited for suburban area widi temporal variations of network traffic.
机译:信息和通信技术(ICT)的发展促进了以高速数据速率为中心的实时应用程序,包括视频流和即时聊天。需要更多数量的宏基站(BS)来容纳数量快速增长的用户,这构成了网络能耗的根本增加。为了缓解此问题,具有同时为中继站(RS)供电的LTE-A网络的演进型NodeB(eNB)的睡眠模式算法是4G网络的主要趋势。基站的睡眠模式算法使用集合论进行数学建模。在提出的系统模型中,每个eNB通过X2链路互连,并与部署在所选eNB的传输区域中的RS互连。基站的实时网络流量是通过eNB与移动站之间的双向握手过程来估计的。控制服务器(CS)放置在选定的eNB中,它将基于估计的实时网络流量配置文件来决定激活RS和eNB的睡眠模式。广泛模拟了BS与RS的最佳功耗比较。使用MATLAB R2013a在每小时的情况下验证了考虑实时网络流量的时间变化的睡眠模式算法的性能。拟议工作的仿真结果证明,每个eNB每小时可节省大量功率。该提议的方案非常适合于郊区的网络流量的时间变化。

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