Paper Info
Title
Interference Management in UAV-Assisted Integrated Access and Backhaul Cellular Networks.
Abstract
An integrated access and backhaul (IAB) network architecture can enable flexible and fast deployment of the next-generation cellular networks. However, mutual interference between access and backhaul links, small inter-site distance, and spatial dynamics of user distribution pose major challenges in the practical deployment of the IAB networks. To tackle these problems, we leverage the flying capabilities of unmanned aerial vehicles (UAVs) as hovering IAB-nodes and propose an interference management algorithm to maximize the overall sum rate of the IAB network. In particular, we jointly optimize the user and base station associations, the downlink power allocations for access and backhaul transmissions, and the spatial configurations of the UAVs. We consider two spatial configuration modes of the UAVs, distributed UAVs and drone antenna array (DAA), and show how they are intertwined with the spatial distribution of ground users. Our numerical results show that the proposed algorithm achieves an average of 2.9 x and 6.7 x gains in the received downlink signal-to-interference-plus-noise ratio (SINR) and overall network sum rate, respectively. Finally, the numerical results reveal that UAVs can not only be used for coverage improvement but also for capacity boosting in the IAB cellular networks.
Year
DOI
Venue
2019
10.1109/ACCESS.2019.2927176
IEEE ACCESS
Keywords
DocType
Volume
3D localization,downlink,drone,drone antenna array (DAA),in-band,integrated access and backhaul (IAB),optimization,UAV
Journal
7
ISSN
Citations 
PageRank 
2169-3536
1
0.39
References 
Authors
0
4
Name
Order
Citations
PageRank
Abdurrahman Fouda111.06
Ahmed S. Ibrahim221421.72
Ismail Güvenç32041153.03
Monisha Ghosh415023.58