UAV Trajectory Planning and Resource Joint Optimization Method Based on Content-aware
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摘要: 针对未来网络中激增的数据流量以及用户多样化的业务需求，利用无人机来辅助蜂窝网络为用户提供更好的服务。该文提出了基于内容感知的无人机轨迹规划和资源分配联合优化方法，在无人机上缓存热点内容，在满足用户内容需求的条件下，联合优化用户接入以及无人机飞行轨迹来最大化最小用户平均服务速率。由于所建立的优化问题具有非凸性，该文提出了一种块坐标下降的方法将原问题分解为两个子问题，并利用连续凸优化方法对问题进行求解。仿真结果表明，所提方法能够有效提升最小用户平均服务速率，提升网络深度覆盖水平。Abstract: In view of the surge in data traffic and the diversified needs of users in the future 6G network, using UAV to assist the cellular network can provide users with better services. This paper proposes a UAV trajectory planning and resource allocation joint optimization method based on content-aware. Hot content is cached on UAV. Under the condition of satisfying the user’s content demand, user association and UAV trajectory are jointly optimized to maximize the minimum average service rate of users. Since the established optimization problem is non-convex, a block coordinate descent method is proposed to decompose the original problem into two sub-problems and the trajectory planning problem is solved by continuous convex optimization method. The simulation results show that the proposed method can effectively improve the minimum user average service rate and the network depth coverage level.
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Key words:
- UAV communication /
- Trajectory planning /
- Content cache /
- Continuous convex optimization
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算法1 算法整体流程 1.初始化无人机缓存状态，包括流行度内容以及部分其他内容 2.对$ {{\boldsymbol{A}}^0} $和$ {{\boldsymbol{L}}^0} $进行初始化，并设置算法阈值 3.重复 4.对于一组给定的$\{ {{\boldsymbol{A}}^t},{{\boldsymbol{L}}^t}\}$，对优化问题P2进行求解，得到最
优用户接入方案${{\boldsymbol{A}}^{t + 1} }$5.对于给定的$\{ {{\boldsymbol{A}}^{t + 1} },{{\boldsymbol{L}}^t}\}$，对优化问题P5进行求解，得到无人
机轨迹${{\boldsymbol{L}}^{t + 1} }$6.更新t = t+1 7.直到$\left| {\eta \left( { {{\boldsymbol{A}}^{t + 1} },{{\boldsymbol{L}}^{t + 1} } } \right) - \eta \left( { {{\boldsymbol{A}}^t},{{\boldsymbol{L}}^t} } \right)} \right| \le \theta$($ \theta $为步骤1预设值) 
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表 1 仿真相关参数
参数名 参数值 用户数K 5～40个 无人机高度H 30 m 加性高斯白噪声$ {\sigma }^{2} $ –110 dBm 距离1m处的参考信号增益$ {\rho }_{0} $ –60 dB 无人机发射功率P 0.2 W 无人机最大飞行速度 50 m/s 最小时隙长度 5 s
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