店 免授权频谱共享原理与技术 裴二荣 黎伟 蜂窝通信扩展技术书 授权频谱共享LTE-LAA方案讲解书籍 电子工业出版社

在万物互联时代，频谱资源会越来越紧张。将蜂窝通信扩展到免授权频段是缓解当前频谱资源短缺问题的一个重要手段。本书系统地阐述免授权频谱共享原理与技术，共7 章。*1 章为绪论，介绍免授权频谱共享的提出及免授权频谱共享方案等。*2 章介绍免授权频谱共享方案LTE-LAA 在理想情况、捕获效应及不*美频谱探测下的性能。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和基于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 章是总结与展望。

*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
*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*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*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

裴二荣，男，工学博士，重庆邮电大学通信与信息工程学院教授，硕导/博导，2012年毕业于电子科技大学，重庆大学博士后流动站出站，英国谢菲尔德大学访问学者，重庆邮电大学智能互联与先进仿真创新团队负责人，中国电子学会*级会员，中国通信学会*级会员，中国通信学会第四、五届通信软件技术专业委员会委员，国家超高清视频创新中心外聘专家，长期从事无线移动通信技术相关研究工作，先后承担国家自然科学基金、国家863、新一代移动通信网国家重大专项、省部级重大重点等多项项目，发表高质量论文近50篇，申请并授权国家发明专利近50个，获省部级奖励1项。

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