Cluster based coordinated beamforming and power allocation for MIMO heterogeneous networks

Kianoush Hosseini, Wei Yu, R. Adve
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引用次数: 17

Abstract

Coordinated intercell interference management is essential in dense heterogeneous networks with limited backhaul capacity. This paper proposes a cluster-based hierarchical cooperative transmission and resource allocation scheme with proportionally fair objective in a cellular network where both the macro base station (BS) and the small cell access-points (SCAs) are equipped with multiple antennas and share the entire available bandwidth. As the first step, SCAs form clusters based on their pairwise distances where each cluster comprised of adjacent SCAs which are potentially strong interferers. Clustering enables intra-cluster coordinated transmission and inter-cluster coordinated resource allocation. Specifically, SCAs within each cluster form a network multiple-input multiple-output (MIMO) system, share the users' data symbols, and cancel intra-cluster interference via zero-forcing spatial multiplexing. Further, a distributed power control scheme is devised for the purpose of mitigating inter-cluster interference without exchanging users' data signals. We show that clustering facilitates intra-cluster coordination by enabling data exchange and channel training with reasonable backhaul communication within each cluster. We also show that the proposed inter-cluster power control scheme can further improve the network-wide utility.
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基于集群的MIMO异构网络协调波束形成与功率分配
在回程容量有限的密集异构网络中,协调的小区间干扰管理至关重要。在宏基站和小基站接入点均配置多天线并共享整个可用带宽的蜂窝网络中,提出了一种基于集群的、目标比例公平的分层协同传输和资源分配方案。作为第一步,sca根据它们的成对距离形成集群,其中每个集群由相邻的sca组成,这些sca是潜在的强干扰。集群可以实现集群内的协同传输和集群间的协同资源分配。具体而言,每个集群内的sca形成一个网络多输入多输出(MIMO)系统,共享用户的数据符号,并通过零强制空间复用消除集群内干扰。此外,为了在不交换用户数据信号的情况下减轻集群间干扰,设计了分布式功率控制方案。我们表明,集群通过在每个集群内进行合理的回程通信来实现数据交换和信道训练,从而促进集群内的协调。我们还证明了所提出的集群间功率控制方案可以进一步提高整个网络的利用率。
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