• Talgat Manglayev
  • Refik Caglar Kizilirmak
  • Yau Hee Kho
  • Nurzhan Bazhayev
  • Ilya Lebedev

In this paper, non-orthogonal multiple access (NOMA) with successive interference cancellation (SIC) technique for downlink channel of next generation wireless network and its security issues are discussed. In NOMA, signals for all user equipment (UEs) are superimposed before transmission and then decoded at each UE implementing SIC. SIC relies on decoding and subtracting the signals in sequence until it reaches its desired signal. The decoding order at each UE, however, must match with the user index in the cancellation sequence. In case of mismatch, UEs will not obtain their signals and re-request their messages from the BS which will further increase the processing time that is already high for a regular SIC receiver. Numerical results show the performance of SIC at the UE side. The time spent for decoding the received signal at the UE with and without user mismatch is discussed. The unusual longer decoding times are further discussed as potential external network threat.

Original languageEnglish
Title of host publication17th IEEE International Conference on Smart Technologies, EUROCON 2017 - Conference Proceedings
EditorsPero Latkoski, Goga Cvetkovski, Ljupco Karadzinov
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages22-25
Number of pages4
ISBN (Electronic)9781509038435
DOIs
StatePublished - 15 Aug 2017
Event17th IEEE International Conference on Smart Technologies, EUROCON 2017 - Ohrid, North Macedonia
Duration: 6 Jul 20178 Jul 2017

Publication series

Name17th IEEE International Conference on Smart Technologies, EUROCON 2017 - Conference Proceedings

Conference

Conference17th IEEE International Conference on Smart Technologies, EUROCON 2017
Country/TerritoryNorth Macedonia
CityOhrid
Period6/07/178/07/17

    Research areas

  • Future Radio Access, NOMA, OMA, SIC, Wireless Security

    Scopus subject areas

  • Computer Networks and Communications
  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering
  • Instrumentation
  • Management of Technology and Innovation
  • Artificial Intelligence
  • Information Systems
  • Signal Processing

ID: 53919431