A novel airborne self organising architecture for 5G+ Networks

Muhammad Zeeshan Shakir, Hamed Ahmadi, Konstantinos Katzis

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

23 Citations (Scopus)
59 Downloads (Pure)


Network Flying Platforms (NFPs) such as unmanned aerial vehicles, unmanned balloons or drones flying at low/medium/high altitude can be employed to enhance network coverage and capacity by deploying a swarm of flying platforms that implement novel radio resource management techniques. In this paper, we propose a noval layered architecture where NFPs, of various types and flying in low/medium/high layers in a swarm of flying platforms, are considered as an integrated part of the future cellular networks to inject additional capacity and expand the coverage for exceptional scenarios (sports events, concerts, etc.) and hard-to-reach areas (rural or sparsely populated areas). Successful roll-out of the proposed architecture depends on several factors including, but are not limited to: network optimisation for NFP placement and association, safety operations of NFP for network/equipment security, and reliability for NFP transport and control/signalling mechanisms. In this work, we formulate the optimum placement of NFP at a low layer (LL) by exploiting the airborne self-organising network (SON) features. Our initial simulations show the NFP-LL can serve more User Equipments (UEs) using this placement technique.
Original languageEnglish
Title of host publication2017 IEEE 86th Vehicular Technology Conference (VTC Fall)
Place of PublicationToronto, Canada
Number of pages5
ISBN (Electronic)9781509059355
Publication statusPublished - 12 Feb 2018
EventIEEE 86th Vehicular Technology Conference 2017 (VTC Fall) - Toronto, Canada
Duration: 24 Sept 201727 Sept 2017


ConferenceIEEE 86th Vehicular Technology Conference 2017 (VTC Fall)
Abbreviated titleVTC Fall
Internet address


  • Cellular networks
  • Drones
  • computer architecture
  • payloads
  • security
  • Relays
  • Interference


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