Power Allocation for Uplink Communications of Massive Cellular-Connected UAVs
(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)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/01f25a83-830b-49bb-b3b9-3cac76e6257c
- author
- Cai, Xuesong LU ; Kovács, István Zsolt ; Wigard, Jeroen ; Amorim, Rafhael ; Tufvesson, Fredrik LU and Mogensen, Preben E.
- organization
- publishing date
- 2023
- 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}}, }