摘要翻译：
将sub-6GHz网络与毫米波（mmWave）结合部署是同时实现足够覆盖和高数据速率的一种很有前途的解决方案。在异构网络（HetNets）中，传统的耦合接入，即限制用户在下行链路和上行链路中都与同一基站相关联，已经不再是最优的，近年来提出了下行链路和上行链路解耦的概念。在本文中，我们提出了一个分析框架来研究传统的sub-6GHz HetNets与mmWave小小区集成的解耦接入，其中同时考虑了上行链路功率控制和mmWave干扰。利用随机几何的工具，给出了信干噪比覆盖概率、用户感知率覆盖概率和面积和率的性能指标。本文还分析了不同扫描层的密度对网络性能的影响，为网络设计提供了参考。仿真结果验证了本文分析的准确性，并揭示了当mmWave SCells非常密集时，mmWave干扰是不可忽略的，不同类型的SCells对网络性能的影响是不同的，因此需要对其进行合理的组织。
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英文标题：
《Decoupled Heterogeneous Networks with Millimeter Wave Small Cells》
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作者：
Minwei Shi, Kai Yang, Chengwen Xing, Rongfei Fan
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最新提交年份：
2017
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分类信息：

一级分类：Electrical Engineering and Systems Science        电气工程与系统科学
二级分类：Signal Processing        信号处理
分类描述：Theory, algorithms, performance analysis and applications of signal and data analysis, including physical modeling, processing, detection and parameter estimation, learning, mining, retrieval, and information extraction. The term "signal" includes speech, audio, sonar, radar, geophysical, physiological, (bio-) medical, image, video, and multimodal natural and man-made signals, including communication signals and data. Topics of interest include: statistical signal processing, spectral estimation and system identification; filter design, adaptive filtering / stochastic learning; (compressive) sampling, sensing, and transform-domain methods including fast algorithms; signal processing for machine learning and machine learning for signal processing applications; in-network and graph signal processing; convex and nonconvex optimization methods for signal processing applications; radar, sonar, and sensor array beamforming and direction finding; communications signal processing; low power, multi-core and system-on-chip signal processing; sensing, communication, analysis and optimization for cyber-physical systems such as power grids and the Internet of Things.
信号和数据分析的理论、算法、性能分析和应用，包括物理建模、处理、检测和参数估计、学习、挖掘、检索和信息提取。“信号”一词包括语音、音频、声纳、雷达、地球物理、生理、（生物）医学、图像、视频和多模态自然和人为信号，包括通信信号和数据。感兴趣的主题包括：统计信号处理、谱估计和系统辨识；滤波器设计；自适应滤波/随机学习；（压缩）采样、传感和变换域方法，包括快速算法；用于机器学习的信号处理和用于信号处理应用的机器学习；网络与图形信号处理；信号处理中的凸和非凸优化方法；雷达、声纳和传感器阵列波束形成和测向；通信信号处理；低功耗、多核、片上系统信号处理；信息物理系统的传感、通信、分析和优化，如电网和物联网。
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英文摘要：
  Deploying sub-6GHz network together with millimeter wave (mmWave) is a promising solution to simultaneously achieve sufficient coverage and high data rate. In the heterogeneous networks (HetNets), the traditional coupled access, i.e., the users are constrained to be associated with the same base station in both downlink and uplink, is no longer optimal, and the concept of downlink and uplink decoupling has recently been proposed. In this paper, we propose an analytical framework to investigate the traditional sub-6GHz HetNets integrating with mmWave small cells (SCells) with decoupled access, where both the uplink power control and mmWave interference are taken into account. Using the tools from stochastic geometry, the performance metrics of signal-to-interference-plus-noise ratio coverage probability, user-perceived rate coverage probability, and area sum rate are derived. The impact of the densification of different SCells on the network performance is also analyzed to give insights on the network design. Simulation results validate the accuracy of our analysis, and reveal that mmWave interference can not be neglected when the mmWave SCells are extremely dense and that different kinds of SCells have various effects on the network performance and thus need to be organized properly.
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PDF链接：
https://arxiv.org/pdf/1711.00593