The rapid increase of air traffic demand and complexity of radio access network motivate developing scalable wireless communications by adopting system intelligence. The lack of adaptive reconfiguration in radio transmission systems may cause dramatic impacts on the traffic management concerning congestion and demand-capacity imbalances. This has driven the industry to jointly access licensed and unlicensed bands for improved airport connectivity. Therefore, intelligent system is embedded into fifth generation (5G) ultra-dense networks (UDNs) to provision dense and irregular deployments that support extended coverage and improved energy-efficiency for the entire airport network at higher throughputs. To define the technical aspects of the proposed solution, this paper addresses new intelligent technique that configures the coverage and capacity factors of radio access network considering the changes in air traffic demands. This technique is analysed through mathematical models that employ power consumption constraints to support dynamic traffic control requirements to improve the overall network capacity. The presented problem is formulated for medium or large airport air transportation network. The power optimization problem is solved using linear programming with careful consideration to latency and energy efficiency factors. Specifically, an intelligent pilot power method is adopted to maintain the connectivity throughout multi-interface technologies by assuming minimum power requirements. Numerical and system-level analysis are conducted to validate the performance of the proposed schemes for both licenced macrocell New Radio (NR) and unlicensed wireless fidelity (WiFi) topologies. Finally, the insights of problem modelling with intelligent techniques provide significant advantages at reasonable complexity and brings the great opportunity to improve the airport network capacity.

中文翻译：

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5G 超密集网络的机场连接优化


空中交通需求的快速增长和无线接入网络的复杂性促使人们通过采用系统智能来开发可扩展的无线通信。无线电传输系统中缺乏自适应重新配置可能会对拥塞和需求容量不平衡的流量管理造成巨大影响。这促使该行业联合接入许可和非许可频段，以改善机场连接。因此，智能系统被嵌入到第五代（5G）超密集网络（UDN）中，以提供密集且不规则的部署，以支持整个机场网络在更高吞吐量下的扩展覆盖范围和提高能源效率。为了定义所提出解决方案的技术方面，本文提出了一种新的智能技术，该技术考虑空中交通需求的变化来配置无线接入网络的覆盖范围和容量因素。该技术通过数学模型进行分析，利用功耗约束来支持动态流量控制要求，从而提高整体网络容量。所提出的问题是针对中型或大型机场航空运输网络制定的。功率优化问题是使用线性规划来解决的，并仔细考虑延迟和能效因素。具体来说，采用智能导频功率方法，通过假设最低功率要求来维持多接口技术的连接性。我们进行了数值和系统级分析，以验证所提出的方案对于许可宏蜂窝新无线电（NR）和非许可无线保真（WiFi）拓扑的性能。 最后，利用智能技术进行问题建模的见解在合理的复杂性下提供了显着的优势，并为提高机场网络容量带来了巨大的机会。