Title
Beam Management and Self-Healing for mmWave UAV Mesh Networks
Abstract
The point-to-point and point-to-multipoint communication features in the IEEE 802.11ay make it possible for unmanned aerial vehicles (UAVs) to form a UAV mesh network (flyMesh). In an 802.11ay based millimeter-wave (mmWave) flyMesh, many challenges are brought by the collaborative interactions of UAVs and the beam misalignment of the directional communication links. This paper studies how to guarantee the robustness of the mmWave flyMesh with respect to beam management and network self-healing. First, to cope with the problem of beam misalignment between UAVs or between the UAV group leader and relay base station/satellite caused by the movement of UAV(s), we propose a fast beam tracking mechanism. Second, in order to solve the problem of link failures due to departures of some UAVs from the group or failures, the self-healing mechanism is proposed to find alternative links to restore the network capability. Finally, to deal with the dynamic group leader changes of UAVs due to mobility, we propose an efficient UAV group leader re-selection mechanism to reduce the overhead of UAV group management. Through performance analysis and simulation, we demonstrate that our proposed mechanisms can effectively address the aforementioned problems and challenges.
Year
DOI
Venue
2019
10.1109/TVT.2018.2890152
IEEE Transactions on Vehicular Technology
Keywords
Field
DocType
Unmanned aerial vehicles,Relays,Base stations,Logic gates,Reliability,Array signal processing,Training
Self-healing,Base station,Mesh networking,Satellite,Logic gate,Computer science,Computer network,Robustness (computer science),Beam (structure),Relay
Journal
Volume
Issue
ISSN
68
2
0018-9545
Citations 
PageRank 
References 
3
0.36
0
Authors
6
Name
Order
Citations
PageRank
Pei Zhou1304.17
Xuming Fang230736.84
Yuguang Fang36982476.76
Rong He4274.53
Yan Long5396.41
Gaoyong Huang630.36