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arXiv 1509.00539cs.ITmath.IT
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在大规模MIMO全双工无线系统中利用单跳信息

Leveraging One-hop Information in Massive MIMO Full-Duplex Wireless Systems

Wenzhuo Ouyang, Jingwen Bai, Ashutosh Sabharwal

摘要:

我们考虑一个单小区大规模MIMO全双工无线通信系统,其中基站(BS)配备了大量的天线。我们考虑单天线移动用户以半双工操作的设置,而BS处的每个天线能够进行全双工传输,即,它可以使用相同的频谱同时发送和接收。该系统中的基本挑战是小区内节点间干扰,其由上行链路用户的传输到下行链路用户处的接收而生成。关键的操作挑战是估计和聚合移动间信道估计,这可能会压倒全双工操作的任何增益。在这项工作中,我们提出了一个可扩展的和分布式的计划,以最佳地管理节点间的干扰,利用“一跳信息架构”。在该架构中,BS仅需要知道来自下行链路用户的信号与干扰加噪声比(SINR)。每个上行链路用户需要其自己的SINR,以及来自其一跳相邻下行链路用户的加权信号加噪声度量,所述下行链路用户是其干扰的下行链路用户。所提出的一跳信息架构不需要任何网络设备全面收集大量的节点间干扰信道知识,因此显著降低了开销。在单跳信息结构的基础上,设计了一种分布式功率控制算法,并利用偷听反馈信息实现了该结构。我们发现,在典型的渐近制度与许多用户和天线,建议的分布式功率控制方案提高了整体网络的效用,并降低了上行链路用户的传输功率。

英文摘要:

We consider a single-cell massive MIMO full-duplex wireless communication system, where the base-station (BS) is equipped with a large number of antennas. We consider the setup where the single-antenna mobile users operate in half- duplex, while each antenna at the BS is capable of full-duplex transmissions, i.e., it can transmit and receive simultaneously using the same frequency spectrum. The fundamental challenge in this system is intra-cell inter-node interference, generated by the transmissions of uplink users to the receptions at the downlink users. The key operational challenge is estimating and aggregating inter-mobile channel estimates, which can potentially overwhelm any gains from full-duplex operation. In this work, we propose a scalable and distributed scheme to optimally manage the inter-node interference by utilizing a "one- hop information architecture". In this architecture, the BS only needs to know the signal-to-interference-plus-noise ratio (SINR) from the downlink users. Each uplink user needs its own SINR, along with a weighted signal-plus-noise metric from its one-hop neighboring downlink users, which are the downlink users that it interferes with. The proposed one-hop information architecture does not require any network devices to comprehensively gather the vast inter-node interference channel knowledge, and hence significantly reduces the overhead. Based on the one-hop information architecture, we design a distributed power control algorithm and implement such architecture using overheard feedback information. We show that, in typical asymptotic regimes with many users and antennas, the proposed distributed power control scheme improves the overall network utility and reduces the transmission power of the uplink users.

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