Pathloss measurements and prediction using statistical models

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

There is a major expansion in the market of wireless communications services in urban areas. New regulatory environments as well as rivalry in the communications industry necessitate that these systems be arranged quickly and at low cost. Computer-based radio propagation prediction tools are strong candidates for this goal. This paper provides an extension of pathloss analysis in urban environments in Oman. The paper addresses the applicability of Okumura-Hata model in an area in Oman in GSM frequency band. Trigonometric Regression Model is used for data prediction at unknown nodes. These can be used to make desired forecasts. The results are acceptable, can be used primarily for Oman, and can be extended for other regions.

Original languageEnglish
Article number05006
JournalMATEC Web of Conferences
Volume54
DOIs
Publication statusPublished - Apr 22 2016

Fingerprint

Radio transmission
Communication
Global system for mobile communications
Frequency bands
Costs
Industry
Statistical Models

ASJC Scopus subject areas

  • Chemistry(all)
  • Engineering(all)
  • Materials Science(all)

Cite this

Pathloss measurements and prediction using statistical models. / Nadir, Zia; Bait-Suwailam, Mohammad; Idrees, Mohammad.

In: MATEC Web of Conferences, Vol. 54, 05006, 22.04.2016.

Research output: Contribution to journalArticle

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