论文标题

多细胞密集网络中的速率分类多重访问:一种随机几何方法

Rate-Splitting Multiple Access in Multi-cell Dense Networks: A Stochastic Geometry Approach

论文作者

Zhu, Qiao, Qian, Zhihong, Clerckx, Bruno, Wang, Xue

论文摘要

在本文中,探索了在多单元密度网络中应用速率降低多重访问(RSMA)的潜在好处。使用随机几何的工具,基于矩生成函数(MGF)框架,对RSMA增强多细胞密度网络的总和进行了数学评估,以证明RSMA是Multi-Antenna Downink Systems的一般且强大的策略。通过在RSMA增强多细胞密集网络中开发区域光谱效率和总和率的分析表达式来实现系统性能指标的进一步阐述。然后,根据可处理的表达式,我们就天线数量提供了能源效率的优化框架。此外,模拟结果被证明可以验证我们的分析结果的准确性,并为系统设计提供一些有见地的见解。从分析上讲,已经表明:1)RSMA增强的多细胞密度网络的总和受到功率分配比率的显着影响,并且有一个独特的值,可以最大程度地提高总和率; 2)与非正交的多重访问(NOMA)和空间分割多访问(SDMA)相比,RSMA增强的多电池密度网络传输方案具有优于较高的总和率的性能。 3)通过增加RSMA增强多细胞密度网络中天线和BS密度的数量,可以大大提高面积光谱效率; 4)至于能源效率,存在最佳的天线数,以最大程度地提高该性能度量。

In this paper, the potential benefits of applying the Rate-Splitting Multiple Access (RSMA) in multi-cell dense networks are explored. Using tools of stochastic geometry, the sum-rate of RSMA-enhanced multi-cell dense networks is evaluated mathematically based on a Moment Generating Function (MGF) based framework to prove that RSMA is a general and powerful strategy for multi-antenna downlink systems. Further elaboration of the systematic performance metrics is undertaken by developing analytical expressions for area spectral efficiency and sum-rate in the RSMA-enhanced multi-cell dense networks. Based on the tractable expressions, we then offer an optimization framework for energy efficiency in terms of the number of antennas. Additionally, simulation results are shown to verify the accuracy of our analytical results and provide some insightful insights into system design. Analytically, it has been shown that: 1) the sum-rate of RSMA-enhanced multi-cell dense networks is significantly influenced by the power splitting ratio, and there is a unique value that maximizes the sum-rate; 2) the RSMA-enhanced multi-cell dense networks transmission scheme has superior sum-rate performance compared with Non-Orthogonal Multiple Access (NOMA) and Space-Division Multiple Access (SDMA) in a wide range of power splitting ratio; 3) By increasing the number of antennas and BS density in an RSMA-enhanced multi-cell dense network, the area spectral efficiency can be substantially enhanced; 4) As for energy efficiency, there exists an optimal antenna number for maximizing this performance metric.

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