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免授权频谱共享原理与技术

作译者：裴二荣,黎伟,孙远欣等

出版时间：2024-12 千字数：282 版次：01-01 页数：256

开本：16开装帧： I S B N ：9787121494956

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纸质书定价：￥98.0

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内容简介

前言

上架建议

作者简介

编辑推荐

音视频专区

第1 章 绪论····································································································1
1.1 无线电频谱························································································1
1.2 静态的频谱管理··················································································2
1.3 免授权频谱共享的提出·······································································3
1.4 免授权频段现有用户WiFi 系统···························································5
1.5 免授权频谱共享方案···········································································6
1.5.1 LWA···························································································8
1.5.2 LWIP ··························································································8
1.5.3 MulteFire······················································································8
1.5.4 LTE-U·························································································9
1.5.5 LTE-LAA··················································································.10
1.5.6 LTE-eLAA·················································································.12
1.5.7 5G NR-U···················································································.13
参考文献·································································································.14
第2 章 LTE-LAA 方案的相关性能分析························································.16
2.1 引言································································································.16
2.2 LTE-LAA 方案的性能分析·······························································.17
2.2.1 系统模型···················································································.17
2.2.2 LTE-LAA 方案···········································································.18
2.2.3 数学建模···················································································.20
2.2.4 退避机制···················································································.24
2.2.5 目标参数分析·············································································.26
2.2.6 仿真结果与性能分析····································································.28
2.2.7 本节小结···················································································.36
2.3 捕获效应下的LTE-LAA 性能分析···················································.37
2.3.1 系统模型···················································································.37
2.3.2 LTE-LAA 方案和WiFi DCF 机制····················································.39
2.3.3 捕获模型···················································································.40
2.3.4 数学建模···················································································.43
2.3.5 仿真结果与性能分析····································································.49
2.3.6 本节小结···················································································.58
2.4 不完美频谱探测下的LTE-LAA 性能分析·········································.58
2.4.1 网络模型···················································································.59
2.4.2 WiFi DCF 机制和LBT 机制···························································.59
2.4.3 不完美频谱探测下的LTE-LAA 共存性能研究···································.60
2.4.4 仿真结果与性能分析····································································.69
2.4.5 本节小结···················································································.79
2.5 本章总结·························································································.79
参考文献·································································································.80
第3 章 LTE-LAA 方案的智能优化·······························································.82
3.1 引言································································································.82
3.2 Q 学习算法······················································································.83
3.2.1 Q 学习算法理论··········································································.83
3.2.2 智能体动作选择策略····································································.84
3.3 基于混沌Q 学习的CWS 选择算法···················································.86
3.3.1 系统模型···················································································.86
3.3.2 算法设计···················································································.87
3.3.3 仿真结果与性能分析····································································.92
3.3.4 本节小结···················································································100
3.4 基于Q 学习的能量阈值优化算法·····················································100
3.4.1 网络模型···················································································101
3.4.2 算法设计···················································································101
3.4.3 算法流程···················································································103
3.4.4 仿真结果与性能分析····································································104
3.4.5 本节小结···················································································111
3.5 本章总结·························································································111
参考文献·································································································112
第4 章 D2D 通信下的免授权频谱共享方法···················································114
4.1 引言································································································114
4.2 基于MADRL 的D2D 通信资源联合分配算法···································115
4.2.1 系统模型与问题描述····································································115
4.2.2 多智能体算法设计·······································································119
4.2.3 基于A2C 算法的多智能体拓展······················································122
4.2.4 算法流程···················································································124
4.2.5 仿真结果及性能分析····································································125
4.2.6 本节小结···················································································132
4.3 基于DDQN 的D2D 直接接入免授权频谱算法··································132
4.3.1 系统模型与问题描述····································································133
4.3.2 D2D 吞吐量模型·········································································134
4.3.3 WiFi 吞吐量模型·········································································134
4.3.4 问题描述···················································································136
4.3.5 算法设计···················································································137
4.3.6 仿真结果与性能分析····································································142
4.3.7 本节小结···················································································150
4.4 本章总结·························································································151
参考文献·································································································151
第5 章 基于无人机平台的免授权频谱共享方法············································153
5.1 引言································································································153
5.2 基于混合频谱共享的轨迹优化和资源分配算法·································154
5.2.1 场景描述与系统模型····································································154
5.2.2 算法设计···················································································161
5.2.3 仿真结果与性能分析····································································166
5.2.4 本节小结···················································································180
5.3 基于全频谱共享的轨迹和功率优化算法···········································180
5.3.1 场景描述与系统模型····································································181
5.3.2 问题描述···················································································187
5.3.3 算法设计···················································································188
5.3.4 算法流程和复杂度分析·································································195
5.3.5 仿真结果与性能分析····································································196
5.3.6 本节小结···················································································206
5.4 本章总结·························································································206
参考文献·································································································207
第6 章 基于AI 的免授权频谱共享方法························································210
6.1 引言································································································210
6.2 人工智能技术··················································································210
6.2.1 深度学习···················································································211
6.2.2 神经网络···················································································213
6.2.3 强化学习···················································································214
6.3 基于深度Q 学习的免授权频谱接入算法···········································219
6.3.1 问题建模···················································································220
6.3.2 算法设计···················································································222
6.3.3 仿真结果与性能分析····································································225
6.3.4 本节小结···················································································229
6.4 基于平均场近似的免授权频谱接入算法············································229
6.4.1 系统模型与问题描述····································································229
6.4.2 算法设计···················································································231
6.4.3 仿真结果评估与性能分析······························································234
6.4.4 本节小结···················································································240
6.5 本章总结·························································································241
参考文献·································································································242
第7 章 总结与展望······················································································244
7.1 总结································································································244
7.2 展望································································································245
7.2.1 免授权频谱共享方案的评估方面·····················································245
7.2.2 免授权频谱共享方案的优化方面·····················································245
7.2.3 D2D 通信下的免授权频谱共享方面·················································246
7.2.4 无人机通信下的免授权频谱共享方面···············································246
7.2.5 AI 驱动的免授权频谱接入方面·······················································247

前 言
随着智能终端及其业务应用的不断增加，全球移动数据流量急剧增长。国际电信联盟的一份调研报告显示，2020—2030 年，移动数据流量（不包含机器对机器流量）会以每年54%的速率增长；到2025 年，全球每月的移动数据流量将达到543 EB；到2030 年，该数据将达到4394 EB。移动数据流量的急剧增长给移动通信系统带来了巨大压力。为了给用户提供更好的体验，移动运营商需要提供更大的网络容量、更高的通信速率及更低的传播延时。目前，移动运营商主要采用两种方法来实现这些目标：第一种方法是复用授权频谱资源，如在热点区域密集部署小蜂窝基站和使用设备到设备（Device to Device，D2D）通信技术等；第二种方法是改进物理层和媒体接入控制层关键技术，尽可能地提高授权频谱利用率，如MIMO（Multiple-Input Multiple-Output）和波束赋形等。然而，第一种方法导致干扰控制算法越来越复杂，使得进一步复用授权频谱变得越来越困难；基于现有技术，第二种方法的授权频谱利用率几乎达到了理论极限，近年来，其应用变得越来越困难。因此，目前这两种方法都无法有效缓解移动数据流量急剧增长给移动通信系统带来的巨大压力。拓展新的频谱资源几乎是进一步提高移动通信系统性能的唯一选择。考虑到免授权频段有大量的频谱资源，一些研究人员提出将蜂窝通信扩展到免授权频段。这种方法使得移动通信系统在短期内增加了大量适合通信的频谱，能够极大地增大系统容量。然而，免授权频段是一种无须授权就可以使用的频段，各种无线设备只需要遵循免授权频谱管理规则就可以接入此频段。因此，移动通信系统使用免授权频谱，除了需要遵循免授权频谱管理规则，还需要注意保障现有用户的通信性能。为了促进免授权频谱共享技术的进一步发展及实际部署，著者撰写了本书。
本书介绍免授权频谱共享原理与技术。
第1 章介绍免授权频谱共享的提出及免授权频谱共享方案等。
第2 章对免授权频谱共享方案LTE-LAA 在理想情况、捕获效应及不完美频谱探测下的性能进行分析。
第3 章介绍LTE-LAA 方案的智能优化，分别介绍基于混沌Q 学习的CWS 选择算法及基于Q 学习的能量阈值优化算法。
第4 章介绍D2D 通信下的免授权频谱共享方法，分别介绍基于多智能体深度强化学习的D2D 通信资源联合分配算法，以及基于DDQN 的D2D 直接接入免授权频谱算法。
第5 章介绍基于无人机平台的免授权频谱共享方法，分别介绍基于混合频谱共享的轨迹优化和资源分配算法，以及基于全频谱共享的轨迹和功率优化算法。
第6 章介绍基于AI 的免授权频谱共享方法，分别介绍人工智能技术、基于深度Q 学习的免授权频谱接入算法及基于平均场近似的免授权频谱接入算法。
第7 章介绍总结与展望。
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