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Coalition-based sleep mode and power allocation for energy efficiency in dense small cell networks

机译:基于联盟的睡眠模式和功率分配,用于密集型小型蜂窝网络中的能效

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摘要

In this study, the authors focus on energy efficiency (EE) optimisation via the cooperation of small cell base stations (SBSs) in dense small cell networks (DSCNs) where the control plane (C-plane) and data plane (D-plane) are decoupled. They propose a coalition-based sleep mode and power allocation (CSMPA) scheme to improve the DSCN EE while guaranteeing the target rates of users and maintaining the system capacity. In the CSMPA scheme, the cooperation of SBSs is formulated as a coalitional game in partition form and a centralised heuristic coalition formation algorithm without power cost is developed to achieve the final stable coalition structure. Each SBS can serve users in the active subframes and sleep in those subframes without data transmission. Afterwards, since the interference between coalitions affects EE, a distributed price-based power allocation algorithm is presented to optimise the transmit power of active SBSs per subframe. System-level simulation results show that the proposed CSMPA scheme can yield less number of outage users and significant EE performance gain without jeopardising system capacity.
机译:在这项研究中,作者专注于通过密集小小区网络(DSCN)中小小区基站(SBS)的协作来实现能效(EE)优化,其中控制平面(C平面)和数据平面(D平面)被解耦。他们提出了一种基于联盟的睡眠模式和功率分配(CSMPA)方案,以改善DSCN EE,同时保证用户的目标速率并维护系统容量。在CSMPA方案中,将SBS的协作以分区形式表述为联盟博弈,并开发了一种无需电费的集中式启发式联盟形成算法,以实现最终的稳定联盟结构。每个SBS可以在活动子帧中为用户提供服务,并在那些子帧中休眠而无需进行数据传输。之后,由于联盟之间的干扰会影响EE,因此提出了一种基于价格的分布式功率分配算法,以优化每个子帧中活动SBS的发射功率。系统级仿真结果表明,所提出的CSMPA方案可以减少停机用户的数量,并显着提高EE性能,而不会损害系统容量。

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