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Resource Partitioning and User Association With Sleep-Mode Base Stations in Heterogeneous Cellular Networks

机译:异构蜂窝网络中与睡眠模式基站的资源划分和用户关联

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In this paper, we minimize the total energy used in a two-tier heterogeneous cellular network (HCN), through the optimization of resource partitioning and user association, assuming that both macro and small-cell base stations may be put into sleep mode. With resource partitioning, one tier of base stations can be put into sleep mode on a fraction of available time/frequency resources to reduce network power consumption. A user association scheme is adopted to alleviate the SINR degradation due to severe inter-tier interference for users close to tier boundaries. By deriving tractable throughput characterizations, we formulate the network-wide energy usage minimization problem and determine the optimal user association and resource partitioning strategies. The maximum achievable network coverage probabilities using the optimal strategies are also investigated. Numerical results show that the proposed resource allocation and user association scheme reduces network energy consumption and improves coverage probability in co-channel heterogeneous networks.
机译:在本文中,我们通过优化资源分配和用户关联来最小化两层异构蜂窝网络(HCN)中使用的总能量,并假设宏基站和小型基站都可以进入睡眠模式。通过资源划分,可以在一部分可用时间/频率资源上将一层基站置于睡眠模式,以减少网络功耗。采用用户关联方案来缓解由于靠近层边界的用户受到严重的层间干扰而导致的SINR降低。通过得出可处理的吞吐量特征,我们制定了网络范围内的能耗最小化问题,并确定了最佳的用户关联和资源分配策略。还研究了使用最佳策略可实现的最大网络覆盖率。数值结果表明,所提出的资源分配和用户关联方案降低了网络能耗,提高了同信道异构网络中的覆盖概率。

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