arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 2310.02002cs.NI
收藏

地面与非地面融合网络中的吞吐量与覆盖权衡:一种优化框架

Throughput and Coverage Trade-Off in Integrated Terrestrial and Non-Terrestrial Networks: an Optimization Framework

Henri Alam, Antonio De Domenico, David López-Pérez, Florian Kaltenberger

AI总结:

针对地面与非地面融合网络参数调优难的问题,提出一种资源管理框架,通过优化频谱分配、用户关联及发射功率,在乡村场景下显著减少覆盖盲区并提升超200%的平均数据速率。

摘要:

近年来,非地面网络(NTN)凭借其覆盖广阔地理区域的能力,已成为为未来无线网络提供泛在连接的可行方案。然而,由于需要调优的参数数量庞大,NTN与传统地面网络(TN)的高效融合及运行颇具挑战。本文研究了工作在S频段的TN-NTN融合网络下行链路场景,该网络由与大规模地面蜂窝网络重叠的低轨(LEO)卫星组成。我们提出了一种全新的资源管理框架,通过合理控制频谱分配、用户设备(UE)关联以及地面基站(BS)和卫星的发射功率,来优化UE性能。研究表明,在乡村场景下,结合所提出的无线资源管理框架,NTN减少了处于覆盖范围外的UE数量,凸显了NTN在提供泛在连接方面的重要作用,同时大幅提升了网络的整体容量。具体而言,当资源分配设置遵循3GPP建议时,相较于无卫星的网络以及标准的TN-NTN融合网络,我们的方案在平均数据速率方面实现了超过200%的增益。

英文摘要:

In past years, non-terrestrial networks (NTNs) have emerged as a viable solution for providing ubiquitous connectivity for future wireless networks due to their ability to reach large geographical areas. However, the efficient integration and operation of an NTN with a classic terrestrial network (TN) is challenging due the large amount of parameters to tune. In this paper, we consider the downlink scenario of an integrated TN-NTN transmitting over the S band, comprised of low-earth orbit (LEO) satellites overlapping a large-scale ground cellular network. We propose a new resource management framework to optimize the user equipment (UE) performance by properly controlling the spectrum allocation, the UE association and the transmit power of ground base stations (BSs) and satellites. Our study reveals that, in rural scenarios, NTNs, combined with the proposed radio resource management framework, reduce the number of UEs that are out of coverage, highlighting the important role of NTNs in providing ubiquitous connectivity, and greatly improve the overall capacity of the network. Specifically, our solution leads to more than 200% gain in terms of mean data rate with respect to a network without satellites and a standard integrated TN-NTN when the resource allocation setting follows 3GPP recommendation.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

↑