From Sensing to Predictions and Database Technique: A Review of TV White Space Information Acquisition in Cognitive Radio Networks

Hilary K. Anabi, Rosdiadee Nordin, Omar B. Abdulghafoor, Aduwati Sali, Ahmed Mohamedou, Abdulmajid Almqdshi, Nor Fadzilah Abdullah

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

Strategies to acquire white space information is the single most significant functionality in cognitive radio networks (CRNs) and as such, it has gone some evolution to enhance information accuracy. The evolution trends are spectrum sensing, prediction algorithm and recently, geo-location database technique. Previously, spectrum sensing was the main technique for detecting the presence/absence of a primary user (PU) signal in a given radio frequency (RF) spectrum. However, this expectation could not materialized as a result of numerous technical challenges ranging from hardware imperfections to RF signal impairments. To convey the evolutionary trends in the development of white space information, we present a survey of the contemporary advancements in PU detection with emphasis on the practical deployment of CRNs i.e. Television white space (TVWS) networks. It is found that geo-location database is the most reliable technique to acquire TVWS information although, it is financially driven. Finally, using financially driven database model, this study compared the data-rate and spectral efficiency of FCC and Ofcom TV channelization. It was discovered that Ofcom TV channelization outperforms FCC TV channelization as a result of having higher spectrum bandwidth. We proposed the adoption of an all-inclusive TVWS information acquisition model as the future research direction for TVWS information acquisition techniques.

Original languageEnglish
Pages (from-to)1-30
Number of pages30
JournalWireless Personal Communications
DOIs
Publication statusAccepted/In press - 27 May 2017

Fingerprint

Cognitive radio
Television
Television networks
Hardware
Bandwidth
Defects

Keywords

  • Cognitive radio
  • Geo-location database
  • Prediction algorithm
  • Spectrum sensing
  • TVWS
  • White space

ASJC Scopus subject areas

  • Computer Science Applications
  • Electrical and Electronic Engineering

Cite this

From Sensing to Predictions and Database Technique : A Review of TV White Space Information Acquisition in Cognitive Radio Networks. / Anabi, Hilary K.; Nordin, Rosdiadee; Abdulghafoor, Omar B.; Sali, Aduwati; Mohamedou, Ahmed; Almqdshi, Abdulmajid; Abdullah, Nor Fadzilah.

In: Wireless Personal Communications, 27.05.2017, p. 1-30.

Research output: Contribution to journalArticle

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