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Power Allocation for Uplink Communications of Massive Cellular-Connected UAVs

Cai, Xuesong LU ; Kovács, István Zsolt ; Wigard, Jeroen ; Amorim, Rafhael ; Tufvesson, Fredrik LU orcid and Mogensen, Preben E. (2023) In IEEE Transactions on Vehicular Technology 72(7). p.8797-8811
Abstract
Cellular-connected unmanned aerial vehicle (UAV) has attracted a surge of research interest in both academia and industry. To support aerial user equipment (UEs) in the existing cellular networks, one promising approach is to assign a portion of the system bandwidth exclusively to the UAV-UEs. This is especially favorable for use cases where a large number of UAV-UEs are exploited, e.g., for package delivery close to a warehouse. Although the nearly line-of-sight (LoS) channels can result in higher powers received, UAVs can in turn cause severe interference to each other in the same frequency band. In this contribution, we focus on the uplink communications of massive cellular-connected UAVs. Different power allocation algorithms are... (More)
Cellular-connected unmanned aerial vehicle (UAV) has attracted a surge of research interest in both academia and industry. To support aerial user equipment (UEs) in the existing cellular networks, one promising approach is to assign a portion of the system bandwidth exclusively to the UAV-UEs. This is especially favorable for use cases where a large number of UAV-UEs are exploited, e.g., for package delivery close to a warehouse. Although the nearly line-of-sight (LoS) channels can result in higher powers received, UAVs can in turn cause severe interference to each other in the same frequency band. In this contribution, we focus on the uplink communications of massive cellular-connected UAVs. Different power allocation algorithms are proposed to either maximize the minimal spectrum efficiency (SE) or maximize the overall SE to cope with severe interference based on the successive convex approximation (SCA) principle. One of the challenges is that a UAV can affect a large area meaning that many more UAV-UEs must be considered in the optimization problem, which is essentially different from that for terrestrial UEs. The necessity of single-carrier uplink transmission further complicates the problem. Nevertheless, we find that the special property of large coherent bandwidths and coherent times of the propagation channels can be leveraged. The performances of the proposed algorithms are evaluated via extensive simulations in the full-buffer transmission mode and bursty-traffic mode. Results show that the proposed algorithms can effectively enhance the uplink SEs. This work can be considered the first attempt to deal with the interference among massive cellular-connected UAV-UEs with optimized power allocations. (Less)
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author
; ; ; ; and
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
and UAV communications, Array signal processing, Autonomous aerial vehicles, geometrical programming, Interference, Optimization, Power control, power control, Resource management, successive convex approximation, Uplink
in
IEEE Transactions on Vehicular Technology
volume
72
issue
7
pages
15 pages
publisher
IEEE - Institute of Electrical and Electronics Engineers Inc.
external identifiers
  • scopus:85149421979
  • scopus:85149421979
ISSN
0018-9545
DOI
10.1109/TVT.2023.3244653
language
English
LU publication?
yes
id
01f25a83-830b-49bb-b3b9-3cac76e6257c
alternative location
https://arxiv.org/abs/2107.11738
date added to LUP
2022-12-08 18:59:02
date last changed
2023-11-22 16:33:14
@article{01f25a83-830b-49bb-b3b9-3cac76e6257c,
  abstract     = {{Cellular-connected unmanned aerial vehicle (UAV) has attracted a surge of research interest in both academia and industry. To support aerial user equipment (UEs) in the existing cellular networks, one promising approach is to assign a portion of the system bandwidth exclusively to the UAV-UEs. This is especially favorable for use cases where a large number of UAV-UEs are exploited, e.g., for package delivery close to a warehouse. Although the nearly line-of-sight (LoS) channels can result in higher powers received, UAVs can in turn cause severe interference to each other in the same frequency band. In this contribution, we focus on the uplink communications of massive cellular-connected UAVs. Different power allocation algorithms are proposed to either maximize the minimal spectrum efficiency (SE) or maximize the overall SE to cope with severe interference based on the successive convex approximation (SCA) principle. One of the challenges is that a UAV can affect a large area meaning that many more UAV-UEs must be considered in the optimization problem, which is essentially different from that for terrestrial UEs. The necessity of single-carrier uplink transmission further complicates the problem. Nevertheless, we find that the special property of large coherent bandwidths and coherent times of the propagation channels can be leveraged. The performances of the proposed algorithms are evaluated via extensive simulations in the full-buffer transmission mode and bursty-traffic mode. Results show that the proposed algorithms can effectively enhance the uplink SEs. This work can be considered the first attempt to deal with the interference among massive cellular-connected UAV-UEs with optimized power allocations.}},
  author       = {{Cai, Xuesong and Kovács, István Zsolt and Wigard, Jeroen and Amorim, Rafhael and Tufvesson, Fredrik and Mogensen, Preben E.}},
  issn         = {{0018-9545}},
  keywords     = {{and UAV communications; Array signal processing; Autonomous aerial vehicles; geometrical programming; Interference; Optimization; Power control; power control; Resource management; successive convex approximation; Uplink}},
  language     = {{eng}},
  number       = {{7}},
  pages        = {{8797--8811}},
  publisher    = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}},
  series       = {{IEEE Transactions on Vehicular Technology}},
  title        = {{Power Allocation for Uplink Communications of Massive Cellular-Connected UAVs}},
  url          = {{http://dx.doi.org/10.1109/TVT.2023.3244653}},
  doi          = {{10.1109/TVT.2023.3244653}},
  volume       = {{72}},
  year         = {{2023}},
}