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The caching paradigm has been introduced to alleviate backhaul traffic loadand to reduce latencies due to massive never ending increase in data traffic.To fully exploit the benefits offered by caching, unmanned aerial vehicles(UAVs) and device-to-device (D2D) communication can be further utilized. Incontrast to prior works, that strictly limits the content delivery routes up totwo hops, we explore a multi-hop communications scenario, where the UAVs, theUEs, or both can relay the content to individual users. In this context, weformulate the problem for joint route selection and power allocation tominimize the overall system content delivery duration. First, motivated by thelimitations of existing works, we consider the case where the nodes maytransmit content simultaneously rather than sequentially and propose simple yeteffective approach to allocate the transmission power. Second, we design alow-complexity greedy algorithm jointly handling route selection and powerallocation. The simulation results demonstrate that the proposed greedyalgorithm outperforms the benchmark algorithm by up to 56.98% in terms ofcontent delivery duration while it achieves close-to-optimal performance.

Joint Route Selection and Power Allocation in Multi-hop Cache-enabled Networks