论文标题
达到最大的交通需求和吞吐量，由中继辅助MMWave回程网络支持
Towards the Maximum Traffic Demand and Throughput Supported by Relay-Assisted mmWave Backhaul Networks
论文作者
论文摘要
本文研究了继电器辅助MMWave Backhaul网络的吞吐量性能问题。小细胞基站（BSS）的最大交通需求和宏观细胞BS处的最大吞吐量通过不同网络设置下的线性编程中发现了棵型回程网络，这涉及BSS上可用的无线电链的数量，以及回避网络中逻辑链接之间的干扰关系。提出了一个新型的干扰模型，用于在密集的城市环境中进行中继辅助MMWave回程网络，这证明了MMWave定向通信的干扰足迹有限。此外，开发了调度算法，以找到针对树型MMWave Backhaul网络的最佳调度。进行了广泛的数值分析和模拟，以显示和验证网络吞吐量性能和调度算法。
This paper investigates the throughput performance issue of the relay-assisted mmWave backhaul network. The maximum traffic demand of small-cell base stations (BSs) and the maximum throughput at the macro-cell BS have been found in a tree-style backhaul network through linear programming under different network settings, which concern both the number of radio chains available on BSs and the interference relationship between logical links in the backhaul network. A novel interference model for the relay-assisted mmWave backhaul network in the dense urban environment is proposed, which demonstrates the limited interference footprint of mmWave directional communications. Moreover, a scheduling algorithm is developed to find the optimal scheduling for tree-style mmWave backhaul networks. Extensive numerical analysis and simulations are conducted to show and validate the network throughput performance and the scheduling algorithm.
