Supervised cognitive system: A new vision for cognitive engine design in wireless networks

Ismail Alqerm, Basem Shihada

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

Abstract

Cognitive radio attracts researchers' attention recently in radio resource management due to its ability to exploit environment awareness in configuring radio system parameters. Cognitive engine (CE) is the structure known for deciding system parameters' adaptation using optimization and machine learning techniques. However, these techniques have strengths and weaknesses depending on the experienced network scenario that make one more appropriate than others. In this paper, we propose a novel design for the cognitive system called supervised cognitive system (SCS), which aims to perform radio parameters adaptation with the most appropriate CE learning technique for the encountered network scenario. To realize SCS, it is required to evaluate the performance of different CEs in different network scenarios and according to certain performance objectives. In addition, the ability to select the most appropriate CE learning technique for adaptation in the current network scenario is also a priority in our design. Therefore, SCS investigates the relationship between learning and performance improvement and it employs online learning to classify scenarios and select the most appropriate CE learning technique. The testbed implementation and evaluation results in terms of goodput, packet error rate, and spectral efficiency show that the proposed SCS achieves more than 50% in performance gain compared to the best standalone CE.

Original languageEnglish (US)
Title of host publicationCCNC 2018 - 2018 15th IEEE Annual Consumer Communications and Networking Conference
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-8
Number of pages8
ISBN (Electronic)9781538647905
DOIs
StatePublished - Mar 16 2018
Event15th IEEE Annual Consumer Communications and Networking Conference, CCNC 2018 - Las Vegas, United States
Duration: Jan 12 2018Jan 15 2018

Publication series

NameCCNC 2018 - 2018 15th IEEE Annual Consumer Communications and Networking Conference
Volume2018-January

Conference

Conference15th IEEE Annual Consumer Communications and Networking Conference, CCNC 2018
Country/TerritoryUnited States
CityLas Vegas
Period01/12/1801/15/18

Bibliographical note

Publisher Copyright:
© 2018 IEEE.

Keywords

  • Cognitive engine
  • Online Learning
  • Supervised cognitive system (SCS)
  • system parameters adaptation

ASJC Scopus subject areas

  • Signal Processing
  • Computer Networks and Communications
  • Media Technology

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