Emerging cellular-enabled unmanned aerial vehicles (UAVs) communication poses both opportunities and challenges to the current research of UAV applications. On the one hand, the advanced cellular technologies and authentication mechanisms make significant performance improvements of reliability, security, coverage, and throughput of UAVs possible. On the other hand, the considerably dynamic characteristics of the new aerial users bring some complicated and open issues to the future heterogeneous network. To throw some light on this field, the authors study the joint power allocation and channel reuse problem of uplink transmission in a cellular-enabled UAVs network with full consideration of the rapid channel variations resulting from high mobility of UAVs. Given the diverse requirements of terrestrial cellular users (CUs) and UAVs, i.e. large capacity for CU links and ultra-reliability for UAV links, they formulate the problem as optimising the uplink capacities of CUs with reliable transmission constraint of UAVs. By decoupling the intricate problem into two sub-problems, a joint resource allocation algorithm is proposed, which relies only on the statistical information of dynamic channels to implement, hence is robust. Finally, numerical results are provided to corroborate the anticipated performances of the proposed scheme.

中文翻译：

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动态支持蜂窝的无人机通信的联合资源分配

新兴的具有蜂窝功能的无人飞行器（UAV）通信给当前的无人机应用研究带来了机遇和挑战。一方面，先进的蜂窝技术和身份验证机制使无人机的可靠性，安全性，覆盖范围和吞吐量显着提高。另一方面，新的空中用户的相当动态的特性给未来的异构网络带来了一些复杂和开放的问题。为了阐明这一领域，作者研究了具有蜂窝功能的无人机网络中上行链路传输的联合功率分配和信道重用问题，同时充分考虑了无人机的高移动性导致的快速信道变化。考虑到地面蜂窝用户（CU）和UAV的不同要求，即 CU链路的大容量和UAV链路的超可靠性，将问题表达为优化具有UAV传输约束的CU的上行链路容量。通过将复杂问题分解为两个子问题，提出了一种联合资源分配算法，该算法仅依靠动态信道的统计信息来实现，因此具有鲁棒性。最后，提供了数值结果以证实所提出方案的预期性能。它仅依赖于动态渠道的统计信息来实施，因此很健壮。最后，提供了数值结果以证实所提出方案的预期性能。它仅依赖于动态渠道的统计信息来实施，因此很健壮。最后，提供了数值结果以证实所提出方案的预期性能。