Joint Base Station Clustering and Beamformer Design for Partial Coordinated Transmission in Heterogeneous Networks
Joint Base Station Clustering and Beamformer Design for Partial Coordinated Transmission in Heterogeneous Networks
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DOI：
10.1109/jsac.2013.130211
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发表时间：
2012-03
影响因子：
16.4
通讯作者：
Mingyi Hong;Ruoyu Sun;H. Baligh;Z. Luo
中科院分区：
文献类型：
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作者：
Mingyi Hong;Ruoyu Sun;H. Baligh;Z. Luo
我们考虑在多小区MIMO异构网络中的干扰管理问题。在每个小区内，存在大量的分布式微/皮科基站（BS），其可以潜在地被协调用于联合传输。为了减少协调开销，我们考虑以用户为中心的BS集群，使每个用户只由少量（可能重叠）BS服务。因此，给定的信道状态信息，我们的目标是联合设计的BS聚类和线性波束形成器的网络中的所有BS。在本文中，我们制定这个问题从{稀疏优化}的角度来看，并提出了一个有效的算法，是基于迭代求解一系列的组LASSO问题。所提出的算法的一个新的特点是，它执行BS集群和波束成形器的设计联合，而不是分开，因为在现有的方法进行部分协调传输。此外，通过调整非光滑正则化效用函数中的单个惩罚参数，可以控制聚类的大小。所提出的算法的收敛性（到一个固定的解决方案）是有保证的，其有效性是通过广泛的仿真证明。
We consider the interference management problem in a multicell MIMO heterogeneous network. Within each cell there is a large number of distributed micro/pico base stations (BSs) that can be potentially coordinated for joint transmission. To reduce coordination overhead, we consider user-centric BS clustering so that each user is served by only a small number of (potentially overlapping) BSs. Thus, given the channel state information, our objective is to jointly design the BS clustering and the linear beamformers for all BSs in the network. In this paper, we formulate this problem from a {sparse optimization} perspective, and propose an efficient algorithm that is based on iteratively solving a sequence of group LASSO problems. A novel feature of the proposed algorithm is that it performs BS clustering and beamformer design jointly rather than separately as is done in the existing approaches for partial coordinated transmission. Moreover, the cluster size can be controlled by adjusting a single penalty parameter in the nonsmooth regularized utility function. The convergence of the proposed algorithm (to a stationary solution) is guaranteed, and its effectiveness is demonstrated via extensive simulation.