论文标题
部分可观测时空混沌系统的无模型预测
Constrained Deployment Optimization in Integrated Access and Backhaul Networks
论文作者
论文摘要
集成访问和回程（IAB）是5G网络及以后（6G）的有前途的技术之一，其中使用相同的节点/硬件以多跳的方式提供回程和蜂窝服务。由于对高率/可靠性需求的回程链接的敏感性，需要适当的网络计划来使IAB网络的性能尽可能正确。在本文中，我们研究了部署优化对IAB网络覆盖的影响。我们专注于由于地理或干扰管理限制的限制，在某些地区不可行的IAB节点放置是不可行的。为此，我们提出了各种毫米波（MMWave）阻塞感知的约束部署优化方法。我们的结果表明，即使对部署优化的局限性，网络计划也大大提高了IAB网络的覆盖范围。
Integrated access and backhaul (IAB) is one of the promising techniques for 5G networks and beyond (6G), in which the same node/hardware is used to provide both backhaul and cellular services in a multi-hop fashion. Due to the sensitivity of the backhaul links with high rate/reliability demands, proper network planning is needed to make the IAB network performing appropriately and as good as possible. In this paper, we study the effect of deployment optimization on the coverage of IAB networks. We concentrate on the cases where, due to either geographical or interference management limitations, unconstrained IAB node placement is not feasible in some areas. To that end, we propose various millimeter wave (mmWave) blocking-aware constrained deployment optimization approaches. Our results indicate that, even with limitations on deployment optimization, network planning boosts the coverage of IAB networks considerably.
