A Closed Form Estimate of TVWS Capacity Under the Impact of an Aggregate Interference

Madhukar Deshmukh*, Flemming Bjerge Frederiksen, Ramjee Prasad

*Corresponding author for this work

Research output: Contribution to journalJournal articleResearchpeer-review

2 Citations (Scopus)

Abstract

Radio spectrum is a necessary barrier for flourishing of economic activities through provision of wireless services. The radio spectrum suitable for the propagation of wireless signals is a limited resource and hence requires optimal allocation as collectively dictated by regulatory, technical and market domains. The current global move to switch from analogue to digital TV has opened up an opportunity for the re-allocation of this valuable resource. In one way, spectrum bands once used for analogue TV broadcasting will be completely cleared, leaving a space for deploying new licensed wireless services, and in another way, digital television technology geographically interleaves spectrum bands to avoid interference between neighboring stations—leaving a space for deploying new unlicensed wireless services. The focus of the paper is to assess the availability of geographically interleaved spectrum, also known as television spectrum white spaces (TVWS). The focus of this paper is to asses the potential of deploying white space devices to meet broadband needs in rural India. The main contribution of this paper is a closed form estimate of the average white capacity under the influence of an aggregate interference from other secondary devices. Also, simulations over a representative terrain considering Federal Communications Committee rules and aggregate interference, conclude that, when Digital Television is introduced there could still be approximately 6.14 Mbps of average TVWS personal capacity available.

Original languageEnglish
JournalWireless Personal Communications
Volume82
Issue number1
Pages (from-to)551-568
Number of pages18
ISSN0929-6212
DOIs
Publication statusPublished - 1 May 2015

Keywords

  • Broadband capacity
  • Quantifying
  • TVWS

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