000			a
999			_c17495 _d17495
003			OSt
005			20220912104934.0
008			220912b xxu||||| |||| 00| 0 eng d
040			_aAIKTC-KRRC _cAIKTC-KRRC
100			_916914 _aRama, Raju, Venkateshwarla
245			_aIdentification of frequency bands using terrestrial propagation modeling
250			_aVol.15(2), Apr
260			_aHyderabad _bIUP Publications _c2022
300			_a24-41p.
520			_aWith the rapid growth of wireless communication across the world, technologies like WiMax and WiFi play a significant role. Here, the frequency and wave propagation has to be done at the terrestrial level to establish a portable telecommunication process. The term frequency spectrum management illustrates various procedures which are aimed to provide the operation of different radio communications at any time without causing any interference. Allocation of the proper frequency band involves providing a high data rate for the transformation of information and reducing the optimum amount of interference. The choice of frequency band depends on the location. Based on this location we need to choose which frequency band is available (licensed or unlicensed) under the technologies such as WiFi or WiMax and supporting the propagation models and planning tools (for designing the network) in order to pass the signals without interference. In this paper, the author focused on the Frequency Band Management of Electromagnetic Spectrum in the range of 2.4 GHz to 60 GHz, and compared the licensed and un-licensed bands using the WiFi and WiMax technologies.
650		0	_94619 _aEXTC Engineering
700			_917852 _aChakravarthy, Gautham Rama Raju
773	0		_dHyderabad IUP Publications _tIUP journal of electrical and electronics engineering _x0974-1704
856			_uhttps://www.iupindia.in/0422/Electrical%20and%20Electronics%20Engineering/Identification_of_Frequency.asp _yClick here
942			_2ddc _cAR