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Resource Allocation and User Association in Massive MIMO Enabled Wireless Backhaul Network

机译:具有大规模MIMO的无线回程网络中的资源分配和用户关联

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Small cell and heterogeneous network are the promising technologies to provide good coverage and throughput and hence, recently attracted attention for the future cellular network. However, backhauling of irregularly located large number of small cells can be a critical issue in its deployment. The paper provides a general framework of massive MIMO backhauling in a heterogeneous network. The architecture consists of full duplex small cells which can receive backhaul data from massive MIMO enabled macro base station and transmit data to its users in the same frequency band. The paper aims at jointly optimizing the sum logarithm rate with respect to user association, number of antennas, and bandwidth allocation, subject to wireless backhaul as a constraint. A mixed integer non-linear programming problem is formulated. To solve the problem efficiently, the primal problem is splitted into three sub-problems and solved individually. Simulation results demonstrate considerable improvement in the performance over the existing results.
机译:小型电池和异构网络是有前途的技术,以提供良好的覆盖和吞吐量,因此,最近引起了未来的蜂窝网络的关注。但是,在其部署中,不规则地位于大量小型单元的回程可能是一个关键问题。本文提供了在异构网络中进行大规模MIMO回程的一般框架。该架构由全双工小单元组成,可以从大规模的MIMO支持的宏基站接收回程数据,并将数据传输到其用户在同一频带中。本文旨在共同优化关于用户关联,天线数量和带宽分配的总和对数速率,而是通过无线回程作为约束。配制混合整数非线性编程问题。为了有效地解决问题,原始问题分成三个子问题并单独解决。仿真结果表明,对现有结果的性能相当好。

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