本文为美国雪城大学（作者：Esma Turgut）的博士论文，共252页。

近年来，移动数据和流量呈指数级增长。微波可用光谱有限，在不久的将来，波段似乎已经无法满足这一需求，促使人们转向新的电磁频段。因此，在毫米波（mmWave）频带（在30到300GHz之间）上以大可用带宽操作已经成为第五代（5G）蜂窝网络的吸引人们的选择。除了毫米波蜂窝网络外，无人机基站的部署作为满足日益增长的数据需求的一种可能的解决方案，近年来引起了广泛的关注。无人机基站预计将部署在各种场景中，包括公共安全通信、物联网应用中的数据收集、灾害、事故和其他紧急情况，以及短期内需要大量网络资源的临时事件。在这些场景中，无人机可以快速提供无线连接。

本文建立了一个分析框架，对毫米波蜂窝网络和无人机辅助蜂窝网络的性能进行了分析和评估。首先，利用随机几何学的工具分析了泊松点过程（PPP）分布盲源分离的毫米波蜂窝网络的平均符号错误概率（ASEP）。其次，分析了中继辅助下行链路毫米波蜂窝网络的能量效率。然后，我们提供了一个随机几何框架来研究由K层随机分布的基站组成的异构下行链路毫米波蜂窝网络，假设每一层在毫米波频段工作。我们进一步研究了在同一频段内蜂窝和潜在D2D用户设备共存的情况下毫米波蜂窝网络的上行链路性能。除毫米波蜂窝网络外，还研究了无人机辅助蜂窝网络的性能。针对无人机辅助网络中的集群用户，进行了信干噪比（SINR）覆盖性能分析。最后，本文研究了具有集群用户的无人机能量收集网络的能量覆盖性能。

Recent years have witnessed exponentialgrowth in mobile data and traffic. Limited available spectrum in microwave(μWave) bands does not seem to be capable of meeting this demand in the nearfuture, motivating the move to new frequency bands. Therefore, operating withlarge available bandwidth at millimeter wave (mmWave) frequency bands, between30 and 300 GHz, has become an appealing choice for the fifth generation (5G)cellular networks. In addition to mmWave cellular networks, the deployment ofunmanned aerial vehicle (UAV) base stations (BSs), also known as drone BSs, hasattracted considerable attention recently as a possible solution to meet theincreasing data demand. UAV BSs are expected to be deployed in a variety ofscenarios including public safety communications, data collection in Internetof Things (IoT) applications, disasters, accidents, and other emergencies andalso temporary events requiring substantial network resources in theshort-term. In these scenarios, UAVs can provide wireless connectivity rapidly.In this thesis, analytical frameworks are developed to analyze and evaluate theperformance of mmWave cellular networks and UAV assisted cellular networks.First, the analysis of average symbol error probability (ASEP) in mmWavecellular networks with Poisson Point Process (PPP) distributed BSs is conductedusing tools from stochastic geometry. Secondly, we analyze the energyefficiency of relay-assisted downlink mmWave cellular networks. Then, weprovide an stochastic geometry framework to study heterogeneous downlink mmWavecellular networks consisting of K tiers of randomly located BSs, assuming thateach tier operates in a mmWave frequency band. We further study the uplinkperformance of the mmWave cellular networks by considering the coexistence ofcellular and potential D2D user equipments (UEs) in the same band. In additionto mmWave cellular networks, the performance of UAV assisted cellular networksis also studied. Signal-to-interference-plus-noise ratio (SINR) coverageperformance analysis for UAV assisted networks with clustered users isprovided. Finally, we study the energy coverage performance of UAV energyharvesting networks with clustered users.

1.  引言

2. 毫米波蜂窝网络的平均错误概率分析

3. 中继辅助毫米波蜂窝网络的能量效率

4. 异构下行毫米波蜂窝网络的覆盖分析

5. 基于D2D的毫米波蜂窝网络上行链路性能分析

6. 分簇用户下支持D2D的毫米波蜂窝网络上行链路性能分析

7. 无人机辅助蜂窝网络集群用户下行链路分析

8. 基于三维天线辐射方向图的无人机网络能量获取

9. 结论

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