论文标题

重新思考密集的细胞进行集成感应和通信:随机几何视图

Rethinking Dense Cells for Integrated Sensing and Communications: A Stochastic Geometric View

论文作者

Salem, Abdelhamid, Meng, Kaitao, Masouros, Christos, Liu, Fan, López-Pérez, David

论文摘要

在未来几代人的蜂窝网络中包含传感功能需要重新考虑密集的细胞部署。在本文中,我们分析和优化了双功能雷达通信(DFRC)细胞网络的密集细胞拓扑。借助随机几何形状的工具,我们得出了雷达和通信系统(位/sec/m2)潜在区域光谱效率的新分析表达式。基于潜在区域光谱效率的新公式,DFRC系统的能源效率(位/焦点)以封闭形式的公式提供。然后,制定和研究了最大化网络级别能源效率的最佳基础站(BS)密度的优化问题。在这方面,能源效率的数学表达被证明是BSS密度中的单模式和伪concave函数。因此,可以获得最大化能源效率的BSS的最佳密度。我们的分析和数值结果表明,感应功能的包含显然将DFRC系统的最佳BS拓扑与仅经典通信系统区分开来。

The inclusion of the sensing functionality in the coming generations of cellular networks necessitates a rethink of dense cell deployments. In this paper, we analyze and optimize dense cell topologies for dual-functional radar-communication (DFRC) cellular networks. With the aid of tools from stochastic geometry, we derive new analytical expressions of the potential area spectral efficiencies in (bit/sec/m2) of radar and communication systems. Based on the new formulations of the potential area spectral efficiencies, the energy efficiency (bit/Joule) of DFRC systems is provided in a closed-form formula. Then, an optimization problem to obtain the optimal base station (BS) density that maximizes the network-level energy efficiency is formulated and investigated. In this regard, the mathematical expression of the energy efficiency is shown to be a uni-modal and pseudo-concave function in the density of the BSs. Therefore, the optimal density of the BSs that maximizes the energy efficiency can be obtained. Our analytical and numerical results demonstrate that the inclusion of the sensing functionality clearly differentiates the optimal BS topologies for the DFRC systems against classical communication-only systems.

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