Flexibility-Enhanced HTS System for Disaster Management: Responding to Communication Demand Explosion in a Disaster

Shigenori Tani, Katsuyuki Motoyoshi, Hiroyasu Sano, Atsushi Okamura, Hiroki Nishiyama, Nei Kato

Research output: Contribution to journalArticlepeer-review

9 Citations (Scopus)


Natural disaster interrupts essential services due to the facility damage and lack of power supply. Especially, significant communication outages occurs in a wide area for hierarchical network such as cellular communication system in case core nodes are damaged or congested. In order to provide alternative communication ability, high throughput satellite (HTS) is one of the ideal candidates for disaster management because it provides operative communication for a wide area regardless of the availability of regular terrestrial infrastructures. However, conventional HTS relays data with predetermined beam bandwidth and connection, it is inefficient when the communication demand explodes in a disaster area. Therefore, this paper proposes novel frequency allocation technique with flexibility-enhanced HTS system for disaster management to respond to communication demand explosion. While related research works consider user-link resource allocation, this paper focuses on how to control feeder-link and user-link bandwidths in case that the both links can be assigned at continuous frequency such as Ka-band. Furthermore, our proposal addresses resilient satellite network by selecting optimum gateway based on the traffic demand at neighboring user-link beams. The effectiveness of our proposal is verified through simulation results.

Original languageEnglish
Article number7887657
Pages (from-to)159-167
Number of pages9
JournalIEEE Transactions on Emerging Topics in Computing
Issue number1
Publication statusPublished - 2020 Jan 1


  • HTS
  • digital channelizer
  • disaster resilient networks
  • frequency allocation

ASJC Scopus subject areas

  • Computer Science (miscellaneous)
  • Information Systems
  • Human-Computer Interaction
  • Computer Science Applications


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