A Tractable Framework for Spectrum Coexistence Between Satellite Receivers and Terrestrial Networks

IF 6.3 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC IEEE Open Journal of the Communications Society Pub Date : 2024-10-23 DOI:10.1109/OJCOMS.2024.3485569
Nicholas R. Olson;Theodore S. Rappaport;Jeffrey G. Andrews
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Abstract

We study the interference resulting from transmissions from terrestrial cellular networks on passive satellite receivers. This has important implications for the future allocation and terrestrial use of spectrum on a shared basis with satellite systems, in particular above 100 GHz. We develop an extensive, general model for the interference received at a typical passive satellite. Utilizing a stochastic geometry framework, we precisely characterize the outage probability for a set of satellites – which is the distribution of the interference with respect to spatial and temporal randomness inherent in the aforementioned interference model. We obtain upper and lower bounds on the outage probability using a new analytical method based on a matrix function generalization of the Laplace transform of the interference model. This analytical method allows for the distribution of the interference to be tightly bounded while affording a similar level of tractability to that encountered in the more typical coverage probability analysis of wireless networks using stochastic geometry. Using the analytical characterizations for outage probability, we investigate design choices and constraints such as the antenna gain and positioning at the passive satellite receiver and terrestrial nodes, out-of-band rejection, terrestrial network density, and the scan pattern of the passive receiver. Our analysis indicates that spectrum coexistence is feasible with minimal spectral separation, and that in-band coexistence may even be possible with low, but non-negligible, outage probability. A key insight from our analysis is that outage events are largely driven by spatial events corresponding to the presence of large clusters of transmitters as opposed to temporal fluctuations in interference power. The impact of these spatial events on EESS sensors may be mitigated by varying the boresight direction of the receive beam over the measurement duration.
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卫星接收器与地面网络频谱共存的可扩展框架
我们研究了地面蜂窝网络传输对无源卫星接收器的干扰。这对未来与卫星系统共享频谱(尤其是 100 千兆赫以上的频谱)的分配和地面使用具有重要影响。我们为典型无源卫星接收到的干扰建立了一个广泛的通用模型。利用随机几何框架,我们精确地描述了一组卫星的中断概率,即上述干扰模型中固有的空间和时间随机性的干扰分布。我们使用一种基于干扰模型拉普拉斯变换的矩阵函数广义化的新分析方法,获得了中断概率的上下限。这种分析方法可以对干扰的分布进行严格限定,同时提供与使用随机几何方法对无线网络进行更典型的覆盖概率分析时所遇到的类似程度的可操作性。利用中断概率的分析特征,我们研究了设计选择和约束条件,如无源卫星接收器和地面节点的天线增益和定位、带外抑制、地面网络密度以及无源接收器的扫描模式。我们的分析表明,在频谱分离最小的情况下,频谱共存是可行的,而在带内共存的情况下,中断概率较低,但不可忽略。我们的分析得出的一个重要结论是,中断事件主要是由空间事件驱动的,这些空间事件与大型发射机集群的存在相对应,而不是干扰功率的时间波动。这些空间事件对 EESS 传感器的影响可以通过在测量持续时间内改变接收波束的孔径方向来减轻。
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来源期刊
CiteScore
13.70
自引率
3.80%
发文量
94
审稿时长
10 weeks
期刊介绍: The IEEE Open Journal of the Communications Society (OJ-COMS) is an open access, all-electronic journal that publishes original high-quality manuscripts on advances in the state of the art of telecommunications systems and networks. The papers in IEEE OJ-COMS are included in Scopus. Submissions reporting new theoretical findings (including novel methods, concepts, and studies) and practical contributions (including experiments and development of prototypes) are welcome. Additionally, survey and tutorial articles are considered. The IEEE OJCOMS received its debut impact factor of 7.9 according to the Journal Citation Reports (JCR) 2023. The IEEE Open Journal of the Communications Society covers science, technology, applications and standards for information organization, collection and transfer using electronic, optical and wireless channels and networks. Some specific areas covered include: Systems and network architecture, control and management Protocols, software, and middleware Quality of service, reliability, and security Modulation, detection, coding, and signaling Switching and routing Mobile and portable communications Terminals and other end-user devices Networks for content distribution and distributed computing Communications-based distributed resources control.
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