Open AccessCentralized Interference Coordination of Cluster heads for UAVs Swarms
Author(s) -
Guisheng Wang,
Yequn Wang,
Wenhe Zhang,
Qilu Sun,
Yujie Zhang
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1486/7/072019
Subject(s) - duplex (building) , throughput , interference (communication) , computer science , particle swarm optimization , cluster (spacecraft) , swarm behaviour , division (mathematics) , real time computing , distributed computing , computer network , algorithm , telecommunications , artificial intelligence , wireless , mathematics , dna , channel (broadcasting) , genetics , arithmetic , biology
In this paper, we coordinate the challenging interference problem of UAVs swarms as to maximizing the throughput of networks with Doppler frequency shifts and jamming, a hierarchical framework of group-centric network is considered for manned aerial vehicles operated in time division duplex (TDD) modes. In this case, according to different frequency division duplex (FDD) modes in cluster heads and sub-networks, the approximate methods for cross-tier and co-tier interferences are derived. Furthermore, an interference coordination algorithm is proposed to achieve a better trade-off for the performance of UAVs swarms based on dynamic particle swarm optimization (PSO). Simulation results compared with traditional optimization algorithms, demonstrates the proposed algorithm can improve the overall throughput significantly.