期刊
IEEE INTERNET OF THINGS JOURNAL
卷 8, 期 6, 页码 4657-4667出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/JIOT.2020.3027621
关键词
Relays; Trajectory; Unmanned aerial vehicles; Dynamic scheduling; Throughput; Optimization; Full-duplex (FD) relaying; multiple source– destination pairs; time-division multiple access (TDMA); unmanned aerial vehicle (UAV) trajectory scheduling; UAV
资金
- National Key Research and Development Project [2019YFB2102300, 2019YFB2102301]
- National Natural Science Foundation of China [61936014, 61901302]
- Natural Science Foundation of Shanghai [20ZR1462400]
- Fundamental Research Funds for the Central Universities
- National Science Foundation [CPS-1932413, ECCS-1935915]
Unmanned aerial vehicles (UAVs) offer flexibility as flying relays and serve multiple source-destination pairs using time-division multiple access (TDMA) protocol. The proposed full-duplex UAV relaying system optimizes trajectory and transmit power to maximize system throughput.
Based on the advantages of small size, lightweight, as well as flexible deployment and recycling, unmanned aerial vehicle (UAV) has been more and more widely used in military and civilian. As flying relays, UAVs can quickly set up relay communication links for different missions, to enhance the receiving signal power, increase the system capacity, and expand the communication coverage. In this article, we investigate full-duplex (FD) UAV relaying for multiple source-destination pairs. To fully exploit the flying flexibility of the UAV in serving multiple source-destination pairs, we propose a scheduling protocol that exploits time-division multiple access (TDMA) to serve different source-destination pairs in turns when flying along an optimized trajectory. Then, we further formulate a joint optimization problem of the TDMA-based user scheduling, the dynamic UAV trajectory, and the UAV transmit power to maximize the system throughput. The formulated problem is nonconvex that makes it difficult to solve directly, hence we propose an iterative algorithm to obtain an approximate optimal solution based on block coordinate descent and successive convex optimization techniques. Simulation results demonstrate that our proposed FD-based UAV relaying network achieves significant throughput gains compared with the half-duplex (HD) baseline, and the TDMA-based protocol outperforms the OFDMA-based ones with fixed UAV position/trajectory when the UAV helps relay information for multiple source-destination pairs.
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