Database-Assisted Television White Space Technology: Challenges, Trends and Future Research Directions

Television white space (TVWS) technology is approaching the potential roll-out phase for commercial deployment, supported by recent pilot projects being conducted globally. Undeniably, TVWS technology is faced with daunting challenges that require attention. To enable an ecosystem in which TVWS tech...

Full description

Bibliographic Details
Main Authors: Kelechi Hilary Anabi, Rosdiadee Nordin, Nor Fadzilah Abdullah
Format: Article
Language:English
Published: IEEE 2016-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/7733156/
id doaj-5c13103de6f04fd1a8fb659ae46940ae
record_format Article
spelling doaj-5c13103de6f04fd1a8fb659ae46940ae2021-03-29T19:44:30ZengIEEEIEEE Access2169-35362016-01-0148162818310.1109/ACCESS.2016.26211787733156Database-Assisted Television White Space Technology: Challenges, Trends and Future Research DirectionsKelechi Hilary Anabi0https://orcid.org/0000-0001-5153-1264Rosdiadee Nordin1Nor Fadzilah Abdullah2Department of Electrical, Electronic and Systems Engineering, Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia, Bangi, MalaysiaDepartment of Electrical, Electronic and Systems Engineering, Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia, Bangi, MalaysiaDepartment of Electrical, Electronic and Systems Engineering, Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia, Bangi, MalaysiaTelevision white space (TVWS) technology is approaching the potential roll-out phase for commercial deployment, supported by recent pilot projects being conducted globally. Undeniably, TVWS technology is faced with daunting challenges that require attention. To enable an ecosystem in which TVWS technology can flourish, there is a need for a complete analysis of the challenges, trends and future research direction related to this technology. Database-assisted TVWS technology is market driven, geared toward the spectrum reuse paradigm, and faces fewer technical hurdles. Our goal in this paper is to present a tutorial review of the challenges related to database-assisted TVWS networks using the SLEPT (social, legal, economic, political, and technological) analysis framework. The SLEPT framework is a management model that is extensively used for quantitative analysis. A brief review of TVWS technology using the SLEPT model reveals that the technology has been socially accepted, legal challenges are evident in some countries, economic models are the way forward and are main focus of current research trends, TVWS technology cannot be implemented without political will emanating from spectrum reforms, and there are many coexistence-motivated technological issues confronting TVWS technology. In summary, this paper provides an up-to-date survey on TVWS and presents current trends and future research directions in the TVWS context.https://ieeexplore.ieee.org/document/7733156/TVWSauctionself-coexistenceSLEPTgeolocation database
collection DOAJ
language English
format Article
sources DOAJ
author Kelechi Hilary Anabi
Rosdiadee Nordin
Nor Fadzilah Abdullah
spellingShingle Kelechi Hilary Anabi
Rosdiadee Nordin
Nor Fadzilah Abdullah
Database-Assisted Television White Space Technology: Challenges, Trends and Future Research Directions
IEEE Access
TVWS
auction
self-coexistence
SLEPT
geolocation database
author_facet Kelechi Hilary Anabi
Rosdiadee Nordin
Nor Fadzilah Abdullah
author_sort Kelechi Hilary Anabi
title Database-Assisted Television White Space Technology: Challenges, Trends and Future Research Directions
title_short Database-Assisted Television White Space Technology: Challenges, Trends and Future Research Directions
title_full Database-Assisted Television White Space Technology: Challenges, Trends and Future Research Directions
title_fullStr Database-Assisted Television White Space Technology: Challenges, Trends and Future Research Directions
title_full_unstemmed Database-Assisted Television White Space Technology: Challenges, Trends and Future Research Directions
title_sort database-assisted television white space technology: challenges, trends and future research directions
publisher IEEE
series IEEE Access
issn 2169-3536
publishDate 2016-01-01
description Television white space (TVWS) technology is approaching the potential roll-out phase for commercial deployment, supported by recent pilot projects being conducted globally. Undeniably, TVWS technology is faced with daunting challenges that require attention. To enable an ecosystem in which TVWS technology can flourish, there is a need for a complete analysis of the challenges, trends and future research direction related to this technology. Database-assisted TVWS technology is market driven, geared toward the spectrum reuse paradigm, and faces fewer technical hurdles. Our goal in this paper is to present a tutorial review of the challenges related to database-assisted TVWS networks using the SLEPT (social, legal, economic, political, and technological) analysis framework. The SLEPT framework is a management model that is extensively used for quantitative analysis. A brief review of TVWS technology using the SLEPT model reveals that the technology has been socially accepted, legal challenges are evident in some countries, economic models are the way forward and are main focus of current research trends, TVWS technology cannot be implemented without political will emanating from spectrum reforms, and there are many coexistence-motivated technological issues confronting TVWS technology. In summary, this paper provides an up-to-date survey on TVWS and presents current trends and future research directions in the TVWS context.
topic TVWS
auction
self-coexistence
SLEPT
geolocation database
url https://ieeexplore.ieee.org/document/7733156/
work_keys_str_mv AT kelechihilaryanabi databaseassistedtelevisionwhitespacetechnologychallengestrendsandfutureresearchdirections
AT rosdiadeenordin databaseassistedtelevisionwhitespacetechnologychallengestrendsandfutureresearchdirections
AT norfadzilahabdullah databaseassistedtelevisionwhitespacetechnologychallengestrendsandfutureresearchdirections
_version_ 1724195722237050880