Cellular UAV-to-X Communications: Design and Optimization for Multi-UAV Networks

By Shuhang Zhang, Hongliang Zhang, Boya Di, Lingyang Song. IEEE Transactions on Wireless Communications, 2018

368 citations recorded by the source corpus.

In this paper, we consider a single-cell cellular network with a number of cellular users (CUs) and unmanned aerial vehicles (UAVs), in which multiple UAVs upload their collected data to the base station (BS). Two transmission modes are considered to support the multi-UAV communications, i.e., UAV-to-network (U2N) and UAV-to-UAV (U2U) communications. Specifically, the UAV with a high signal-to-noise ratio (SNR) for the U2N link uploads its collected data directly to the BS through U2N communication, while the UAV with a low SNR for the U2N link can transmit data to a nearby UAV through underlaying U2U communication for the sake of quality of service. We first propose a cooperative UAV sense-and-send protocol to enable the UAV-to-X communications, and then formulate the subchannel allocation and UAV speed optimization problem to maximize the uplink sum-rate. To solve this NP-hard problem efficiently, we decouple it into three sub-problems: U2N and cellular user (CU) subchannel allocation, U2U subchannel allocation, and UAV speed optimization. An iterative subchannel allocation and speed optimization algorithm (ISASOA) is proposed to solve these sub-problems jointly. The simulation results show that the proposed ISASOA can upload 10% more data than the greedy algorithm.

Subfields: Aerospace Engineering, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/8279466e62d4500acc2481885130856441dc2175

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Citations in the corpus

Multi-Agent Reinforcement Learning-Based Resource Allocation for UAV Networks (2018, background): “In [17], the authors proposed a joint of subchannel assignment and trajectory design approach to strike a tradeoff between the sum rate and the delay of sensing tasks for a multi-UAV aided uplink single cell network.”
Joint Radar and Communication Design: Applications, State-of-the-Art, and the Road Ahead (2019, background): “Therefore, there is a growing demand to utilize existing communication systems, such as cellular BSs, to monitor unauthorized UAVs while offering wireless services to authorized UEs, which needs no substantial extra hardware and thus reduces the cost [47].”
Hybrid Beamforming for Reconfigurable Intelligent Surface based Multi-User Communications: Achievable Rates With Limited Discrete Phase Shifts (2019, methodology): “The basic idea of the outer approximation method is to enforce the SDP constraint via linear cuts and transform the original problem into a mix-integer linear programming one, which can be solved by the branch-and-bound (B&B) algorithm [30].”