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代码解读：

[代码解读]基于多代理RL的车联网频谱分享_Python实现

No.	题目	博客时间	关键字	备注	优化目标
1	Enhancements of V2X Communication in Support of Cooperative Autonomous Driving	20-03-06	自动驾驶 V2X标准
2	Vehicle-to-Everything (v2x) Services Supported by LTE-based Systems and 5g	20-03-14	V2X标准 LTE-V2X
3	User-Centric Ultra-Dense Networks for 5G: Challenges , Methodologies, and Directions	20-03-21	接入管理 UUDN
4	Kinematic Information Aided User-Centric 5G Vehicular Networks	20-03-19	接入管理 UUDN		SINR尽可能大（低分组丢失率）排队延迟尽可能小（低拥塞率）
5	Achieving URLLC: Challenges and Envisioned System Enhancements	20-03-25	URLLC	综述型 URLLC的解决方案缩短TTI的缺点
6	Ultra Reliable, Low Latency V2I Wireless Communications with Edge Computing	20-03-27	V2I 可靠性资源管理	联合优化连接与带宽分配，给出延迟指标劳动力市场匹配
7	Machine Learning for Vehicular Networks：Recent Advances and Application Examples	20-03-31	车联网机器学习综述	无线资源管理的窘境开放式问题中有一个：多主体之间信息交换的时间有待考虑
8	Toward Intelligent Vehicular Networks: A Machine Learning Framework	20-04-02	车联网机器学习综述	车联网的高移动性有啥挑战使用ML的动机给了基于ML的资源管理参考文献
9	Spectrum Sharing in Vehicular Networks Based on Multi-Agent Reinforcement Learning	20-04-06	V2I容量 & 2V可靠性资源分配强化学习
10	Multi-User-Centric Virtual Cell Operation for V2X Communications in 5G Networks	20-04-08	VC(UUDN) max 服务用户数功率控制
11	Trajectory Data Driven V2V/V2I Mode Switching and Bandwidth Allocation for Vehicle Networks	20-05-02	V2I辅助的V2V CSI 资源分配		最大化BS覆盖范围内所有UE的V2V/V2I协同比特率
12	Three-Dimensional Resource Allocation in D2D-Based V2V Communication	20-05-02	D2D, 2I辅助2V 资源分配，图论考虑行人资源	将CUE融入考虑	最大化V2I的容量
13	Combining V2I with V2V Communications for Service Continuity in Vehicular Networks	20-05-05	V2V辅助的V2I 转发机制，辅助切换随机过程（排队论）	列举了三个已有的数据转发机制	最大化吞吐量，最小化单次中断时长
14	Exploiting Moving Intelligence: Delay-Optimized Computation Offloading in Vehicular Fog Net	20-05-10	雾计算分配计算资源利用移动性编码计算		任务卸载的延时服务可靠性
15	Age of Information Aware Radio Resource Management in Veh Net: A Proactive DRL Perspective	20-05-11	信息年龄强化学习资源分配		丢包数、信息年龄、功率
16	Data Uploading in Hybrid V2V/V2I Veh Networks: Modeling and Cooperative Strategy	20-05-11	V2V/V2I 转发机制	有提到存携带转发机制	传输容量传输时延

17	Integrated Networking, Caching, and Computing for Connected Vehicles: A DRL Approach	20-06-12
18	Applications of Deep Reinforcement Learning in Communications and Networking: A Survey	20-06-30
19	A Deep-Learning-Based Radio Resource Assignment Technique for 5G Ultra Dense Networks	20-07-01
20	DECCO: Deep-Learning Enabled Coverage and Capacity Optimization for Massive MIMO Systems	20-07-03

21	Eco-Vehicular Edge Networks for Connected Transportation: A Distributed Multi-Agent Reinfor	20-07-08	UUDN （用户中心式VC）多主体强化学习		能效
22	Reinforcement Learning based Control of Imitative Policies for Near-Accident Driving	20-07-09	RL和IL分层次学习	注：这个是车联网控制类相关，与通信无关	路径完成率
23	Deep Reinforcement Learning Based Resource Allocation for V2V Communications	20-08-26	开源代码单播和广播 V2V资源分配		V2I/V2V容量，剩余时间
24	Position-Based User-Centric Radio Resource Management in 5G UDN for URLLC Vehicular Commu	20-08-26	UUDN 基于距离分配RB		分到RB的车的占比（阻塞率） SINR＞阈值的车的占比