Energy-aware 3D aerial small-cell deployment over next generation cellular networks

Shih Fan Chou, Ya Ju Yu, Ai Chun Pang, Tzu An Lin

Research output: Chapter in Book/Report/Conference proceedingConference contribution

10 Citations (Scopus)


One viable and cost-effective method to fulfill the ever-increasing mobile broadband traffic and to achieve coverage and capacity improvement is the employment of mobile small cells in next generation cellular networks. Being agile and resilient, aerial small cells (ASCs), which are small cells mounted on unmanned aerial vehicles (UAVs), are deemed promising platforms for the provision of wireless services. Since the lifetime of an airborne network highly depends on the residual battery capacity available to each ASC, it is essential to account for the energy expenditure on various flying actions in a flight plan. Therefore, the focus of this paper is to study the 3D deployment problem for a swarm of ASCs, in which a trade-off among flight altitudes, energy expenses and available lifetimes is observed. The objective is to maximize the total throughput of all users. We formulate the problem as a non-convex non-linear optimization problem and propose an energy-aware 3D deployment algorithm to resolve it with the aid of Lagrangian dual relaxation, interior-point and subgradient projection methods. We then conduct a series of simulations to evaluate the performance of our proposed algorithm. Simulation results manifest that our proposed algorithm can bring tremendous increase in the total throughput for all users by properly coping with the trade-off, compared to the two user-aware approaches with random and minimum altitude assignments.

Original languageEnglish
Title of host publication2018 IEEE 87th Vehicular Technology Conference, VTC Spring 2018 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages5
ISBN (Electronic)9781538663554
Publication statusPublished - 2018 Jul 20
Event87th IEEE Vehicular Technology Conference, VTC Spring 2018 - Porto, Portugal
Duration: 2018 Jun 32018 Jun 6

Publication series

NameIEEE Vehicular Technology Conference
ISSN (Print)1550-2252


Conference87th IEEE Vehicular Technology Conference, VTC Spring 2018

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Electrical and Electronic Engineering
  • Applied Mathematics

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