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Joint user scheduling, power control and beam-forming for multi-cell distributed antenna systems with imperfect CSI

机译:CSI不完善的多小区分布式天线系统的联合用户调度,功率控制和波束成形

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Distributed antenna systems (DASs) have been shown to considerably improve the physical-layer performance of cellular wireless networks. However, several issues in the design of radio resource management algorithms (RRM) for this type of system remain open today. This paper partially fills this gap by proposing a joint user scheduling, dynamic power control and beam-forming algorithm for the down-link of multi-cell DASs under the assumption of imperfect channel state information (CSI). The algorithm aims to schedule over the same frequency band a different user attached to a different distributed node within the cell. This goal is achieved by optimizing the power levels and beam-forming vectors of each node, thereby controlling the interference created between the simultaneous transmissions of the scheduled users while maximizing the sum-rate capacity of the cell. This optimization problem is solved by means of a gradient descent iterative technique, which provides the set of optimum node-user pairs to be scheduled, as well as their optimum transmit power levels and beam-forming vectors. Outer-cell interference is computed by reusing the results of previous iterations of the central cell in the transmission parameters of the outer-cells, thus mimicking more efficiently the behavior of the algorithm at the system-level. The algorithm is also evaluated in terms of fairness by means of the first-order moment of the spatial distribution of the capacity. Capacity and fairness properties of the algorithm are shown to considerably outperform previous solutions, particularly in scenarios with good line-of-sight, optimum node location, and relatively accurate CSI.
机译:分布式天线系统(DAS)已被证明可以大大改善蜂窝无线网络的物理层性能。但是,这种类型的系统的无线电资源管理算法(RRM)设计中的几个问题今天仍然存在。本文在信道状态信息不完善的情况下,针对多小区DAS的下行链路提出了联合用户调度,动态功率控制和波束形成算法,从而部分填补了这一空白。该算法旨在在同一频带上调度连接到小区内不同分布式节点的不同用户。通过优化每个节点的功率电平和波束形成矢量,从而控制调度用户同时传输之间产生的干扰,同时最大化小区的总速率容量,可以实现该目标。该优化问题是通过梯度下降迭代技术解决的,该技术提供了要调度的一组最佳节点-用户对,以及它们的最佳发射功率水平和波束形成矢量。通过在外层小区的传输参数中重用中心小区的先前迭代结果来计算外层小区干扰,从而在系统级别更有效地模拟算法的行为。还通过容量的空间分布的一阶矩在公平性方面评估算法。该算法的容量和公平属性显示出明显优于以前的解决方案,尤其是在具有良好视线,最佳节点位置和相对准确的CSI的情况下。

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