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Joint transceiver design and base station clustering for heterogeneous networks

机译:异构网络的联合收发器设计和基站集群

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In this work, we consider the problem of partial cooperative transmission in a heterogeneous network with densely deployed base stations. The objective is to design downlink transmit strategies in a way that optimizes the system spectrum efficiency while using small size base station clusters for partial cooperative joint transmission. We propose a sparse optimization approach for this problem, by utilizing the fact that having small cluster sizes is equivalent to imposing a certain group sparsity structure on the precoders of the base stations. Specifically, our formulation is based on the maximization of a penalized system utility function, with the penalization term chosen to induce the desired sparsity pattern. We then propose two algorithms to solve this problem and demonstrate their effectiveness via numerical experiments.
机译:在这项工作中,我们考虑了在基站密集部署的异构网络中部分协作传输的问题。目的是设计一种下行链路传输策略,该策略可以优化系统频谱效率,同时将小型基站群集用于部分协作联合传输。通过利用具有小的簇大小等同于在基站的预编码器上施加一定的组稀疏性的事实,我们提出了针对该问题的稀疏优化方法。具体而言,我们的公式基于惩罚系统效用函数的最大化,并且选择了惩罚项以诱发所需的稀疏模式。然后,我们提出了两种算法来解决此问题,并通过数值实验证明了它们的有效性。

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