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Dynamic and static base station management schemes for cellular networks

机译:蜂窝网络的动态和静态基站管理方案

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The problem of energy management of base stations in cellular networks is addressed following the recent 3GPP regulations towards traffic proportional energy consumption of 3G and B3G networks. The paper explores energy consumption of different cellular architectures and explores dynamic and static base station management schemes. The static approach is a centralized algorithm where the mobile operator can switch on/off a certain pattern of cells in the system, in an offline fashion. The dynamic approach is an online centralized or distributed algorithm that enables a binary change of the state of operation of the micro base stations (μ-BSs) according to traffic characteristics. A novel pseudo distributed dynamic management scheme is proposed where μ-BSs are managed under the administrative domain of critical stations used to maintain coverage during low peak hours. In this approach, named as Hybrid management, QoS is guaranteed during network transitions and communication overheads are reduced, compared to the centralized algorithm, rendering the proposed technique suitable for real implementations. Finally, the pseudo distributed algorithm is compared to the distributed one where μ-BSs decide locally on their state of operation, independently of the critical stations. It is found that the network can self optimize its own operation in terms of energy savings, without sacrificing QoS. Cost of services and carbon emissions of the mobile operators are consequently reduced.
机译:遵循最近针对3G和B3G网络的流量成比例能耗的3GPP法规,解决了蜂窝网络中基站的能量管理问题。本文探讨了不同蜂窝架构的能耗,并探讨了动态和静态基站管理方案。静态方法是一种集中式算法,其中,移动运营商可以脱机方式打开/关闭系统中特定模式的小区。动态方法是一种在线集中式或分布式算法,可根据流量特性对微基站(μ-BS)的运行状态进行二进制更改。提出了一种新颖的伪分布式动态管理方案,其中在关键站的管理域内对μ-BS进行管理,这些站用于在低高峰时段保持覆盖。与集中式算法相比,在这种称为混合管理的方法中,可在网络转换期间确保QoS,并减少了通信开销,从而使所提出的技术适用于实际实现。最后,将伪分布式算法与分布式算法进行比较,在这种分布式算法中,μ-BS独立于关键站而局部决定其工作状态。发现网络可以在节能方面自我优化自己的操作,而不会牺牲QoS。因此降低了移动运营商的服务成本和碳排放。

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