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Coverage-Constrained Utility Maximization of UAV
Linköping University, Department of Electrical Engineering, Communication Systems. Linköping University, Faculty of Science & Engineering.ORCID iD: 0000-0002-3225-6495
Indian Inst Technol Delhi, India.
Osmania Univ, India.
2019 (English)In: ICC 2019 - 2019 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC), IEEE , 2019Conference paper, Published paper (Refereed)
Abstract [en]

In this paper, we consider a UAV-assisted communication system comprising of single UAV serving to heterogeneous users having different data rate and coverage demands. Specifically, we propose a novel utility-aware transmission protocol to maximize the UAV utility by allowing it to simultaneously serve the highest possible number of users with available energy resources. In this regard, first we derive a closed-form expression for rate-coverage probability of a user considering Rician fading to incorporate the strong line of sight (LoS) component in UAV communication. Next, we formulate an optimization problem P to maximize the UAV utility under energy resources and rate-coverage constraints. Since, P is non-convex and combinatorial in nature, to provide global optimal solution, an equivalent distributed problem is formulated and a joint optimization algorithm is proposed which provide closed-form solution for joint-optimal power and time allocation. With the help of numerical investigation, we validate our coverage analysis and discuss the design insights on the optimal solution. We observe that the proposed joint-optimal resource allocation scheme can yield a significant gain in the UAV utility by making it to serve 60% more users as compared to benchmark fixed allocation scheme.

Place, publisher, year, edition, pages
IEEE , 2019.
Series
IEEE International Conference on Communications, ISSN 1550-3607, E-ISSN 1938-1883
National Category
Telecommunications
Identifiers
URN: urn:nbn:se:liu:diva-161876DOI: 10.1109/ICC.2019.8761373ISI: 000492038802014ISBN: 978-1-5386-8088-9 (electronic)ISBN: 978-1-5386-8089-6 (print)OAI: oai:DiVA.org:liu-161876DiVA, id: diva2:1369317
Conference
IEEE International Conference on Communications (ICC)
Available from: 2019-11-11 Created: 2019-11-11 Last updated: 2019-11-11

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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf