论文标题
使用移动UAV-Relay的多细胞边缘覆盖范围增强
Multi-cell Edge Coverage Enhancement Using Mobile UAV-Relay
论文作者
论文摘要
无人驾驶飞机（UAV）辅助通信是未来无线通信网络中有前途的技术。无人机不仅可以帮助从地面基站（GBS）卸载数据流量，还可以提高细胞边缘用户（CEU）的服务质量。在本文中，我们考虑通过移动继电器（即在多单元网络中的无人机）来增强细胞边缘通信。在每个传输期间，GBSS首先将数据发送到UAV，然后根据某些关联策略将其收到的数据转发给CEU。为了最大化所有CEU的总和率，我们共同优化了无人机的移动性管理，包括CEUS与无人机的轨迹，速度和加速度以及CEUS与无人机的关联策略，但在实践中，无人机和因果缓冲限制的最低限制，无人机的移动性约束。为了解决混合企业非凸问题，我们通过应用紧密的界限和放松将其转化为两个凸子问题。提出了一种迭代算法以交替的方式解决两个子问题。数值结果表明，与现有基准方案相比，提出的算法达到了更高的CEU率。
Unmanned aerial vehicle (UAV)-assisted communication is a promising technology in future wireless communication networks. UAVs can not only help offload data traffic from ground base stations (GBSs), but also improve the quality of service of cell-edge users (CEUs). In this paper, we consider the enhancement of cell-edge communications through a mobile relay, i.e., UAV, in multi-cell networks. During each transmission period, GBSs first send data to the UAV, and then the UAV forwards its received data to CEUs according to a certain association strategy. In order to maximize the sum rate of all CEUs, we jointly optimize the UAV mobility management, including trajectory, velocity, and acceleration, and association strategy of CEUs to the UAV, subject to minimum rate requirements of CEUs, mobility constraints of the UAV and causal buffer constraints in practice. To address the mixed-integer nonconvex problem, we transform it into two convex subproblems by applying tight bounds and relaxations. An iterative algorithm was proposed to solve the two subproblems in an alternating manner. Numerical results show that the proposed algorithm achieves higher rates of CEUs as compared with existing benchmark schemes.
