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Sökning: id:"swepub:oai:lup.lub.lu.se:01f25a83-830b-49bb-b3b9-3cac76e6257c" > Power Allocation fo...

Power Allocation for Uplink Communications of Massive Cellular-Connected UAVs

Cai, Xuesong (författare)
Lund University,Lunds universitet,Kommunikationsteknologi,Forskargrupper vid Lunds universitet,Communications Engineering,Lund University Research Groups
Kovács, István Zsolt (författare)
Nokia Danmark AS
Wigard, Jeroen (författare)
Nokia Danmark AS
visa fler...
Amorim, Rafhael (författare)
Nokia Danmark AS
Tufvesson, Fredrik (författare)
Lund University,Lunds universitet,Kommunikationsteknologi,Forskargrupper vid Lunds universitet,LTH profilområde: AI och digitalisering,LTH profilområden,Lunds Tekniska Högskola,Communications Engineering,Lund University Research Groups,LTH Profile Area: AI and Digitalization,LTH Profile areas,Faculty of Engineering, LTH
Mogensen, Preben E. (författare)
Aalborg University
visa färre...
 (creator_code:org_t)
2023
2023
Engelska 15 s.
Ingår i: IEEE Transactions on Vehicular Technology. - 0018-9545. ; 72:7, s. 8797-8811
  • Tidskriftsartikel (refereegranskat)
Abstract Ämnesord
Stäng  
  • 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.

Ämnesord

TEKNIK OCH TEKNOLOGIER  -- Elektroteknik och elektronik -- Kommunikationssystem (hsv//swe)
ENGINEERING AND TECHNOLOGY  -- Electrical Engineering, Electronic Engineering, Information Engineering -- Communication Systems (hsv//eng)

Nyckelord

and UAV communications
Array signal processing
Autonomous aerial vehicles
geometrical programming
Interference
Optimization
Power control
power control
Resource management
successive convex approximation
Uplink

Publikations- och innehållstyp

art (ämneskategori)
ref (ämneskategori)

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