Long Term Fading Solution

STEP 0: Pre-Calculation Summary
Formula Used
Long Term Fading = Mobile Radio Signal/Multipath Fading
Mt = Rt/Rot
This formula uses 3 Variables
Variables Used
Long Term Fading - Long Term Fading, also known as large-scale fading or shadowing, refers to the slow and gradual variations in the received signal power over time in wireless communication systems.
Mobile Radio Signal - A mobile radio signal in wireless communication refers to the electromagnetic wave transmitted by a mobile device, such as a smartphone, over a wireless network.
Multipath Fading - Multipath fading is multipath interference refers to a phenomenon that occurs in wireless communication systems where signals transmitted from a transmitter reach the receiver via multiple paths.
STEP 1: Convert Input(s) to Base Unit
Mobile Radio Signal: 26 --> No Conversion Required
Multipath Fading: 10.4 --> No Conversion Required
STEP 2: Evaluate Formula
Substituting Input Values in Formula
Mt = Rt/Rot --> 26/10.4
Evaluating ... ...
Mt = 2.5
STEP 3: Convert Result to Output's Unit
2.5 --> No Conversion Required
FINAL ANSWER
2.5 <-- Long Term Fading
(Calculation completed in 00.004 seconds)

Credits

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Created by Shobhit Dimri
Bipin Tripathi Kumaon Institute of Technology (BTKIT), Dwarahat
Shobhit Dimri has created this Calculator and 900+ more calculators!
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Verified by Urvi Rathod
Vishwakarma Government Engineering College (VGEC), Ahmedabad
Urvi Rathod has verified this Calculator and 1900+ more calculators!

16 Mobile Radio Propogation Calculators

Selective Retransmission
​ Go Selective Retransmission = (Number of Word Message Consist*Information Bits)/(Header Bits*Expected Number of Transmission+Number of Bits per Word*Expected One Transmission*Number of Word Message Consist)
Stop-and-Wait ARQ Technique
​ Go Stop-and-Wait ARQ Technique = (Number of Word Message Consist*Information Bits)/((Header Bits+Number of Bits per Word*Number of Word Message Consist)*Expected Number of Transmission)
Level Crossing Rate
​ Go Level Crossing Rate = (sqrt(2*pi))*Maximum Doppler Shift*Normalized RMS Value*e^(-(Normalized RMS Value^2))
Mobile Radio Distance
​ Go Transmitter Reciever Distance = (Path Loss Coefficient/Mobile Reciever Carrier Power)^(1/4)
Path Loss Coefficient
​ Go Path Loss Coefficient = Mobile Reciever Carrier Power/(Transmitter Reciever Distance^-4)
Mobile Reciever Carrier Power
​ Go Mobile Reciever Carrier Power = Path Loss Coefficient*Transmitter Reciever Distance^-4
Maximum Possible S by N Ratio
​ Go Maximum Possible S/N Ratio = Actual S/N Ratio at Output*Noise Figure of Amplifier
Noise Figure
​ Go Noise Figure of Amplifier = Maximum Possible S/N Ratio/Actual S/N Ratio at Output
Cumulative Distribution Function
​ Go Cumulative Distribution Function = Average Duration of Fade*Normalized LCR
Short Term Fading
​ Go Short Term Fading = Mobile Radio Signal*Long Term Fading
Mobile Radio Signal
​ Go Mobile Radio Signal = Long Term Fading*Multipath Fading
Multipath Fading
​ Go Multipath Fading = Mobile Radio Signal/Long Term Fading
Long Term Fading
​ Go Long Term Fading = Mobile Radio Signal/Multipath Fading
Serial to Parallel Modulation Time Period
​ Go Time Period = Symbol Duration/Block of N Serial Source
Block of N Serial Source
​ Go Block of N Serial Source = Symbol Duration/Time Period
Symbol Duration
​ Go Symbol Duration = Block of N Serial Source*Time Period

Long Term Fading Formula

Long Term Fading = Mobile Radio Signal/Multipath Fading
Mt = Rt/Rot

What do you mean by frequency reuse?

Each cellular Base Station is allocated a group of radio channels to be used. These radio channels can be used by another base station which is at a suitable distance away from it.

How to Calculate Long Term Fading?

Long Term Fading calculator uses Long Term Fading = Mobile Radio Signal/Multipath Fading to calculate the Long Term Fading, The Long Term Fading formula is defined as the short-term variation is due to multipath fading and can be described by either Rician or Nakagami distribution, and the long-term fading usually follows a log-normal, or gamma distribution. The rates of fading expressed in terms of level crossing rate and average fade duration have been also obtained. Long Term Fading is denoted by Mt symbol.

How to calculate Long Term Fading using this online calculator? To use this online calculator for Long Term Fading, enter Mobile Radio Signal (Rt) & Multipath Fading (Rot) and hit the calculate button. Here is how the Long Term Fading calculation can be explained with given input values -> 2.5 = 26/10.4.

FAQ

What is Long Term Fading?
The Long Term Fading formula is defined as the short-term variation is due to multipath fading and can be described by either Rician or Nakagami distribution, and the long-term fading usually follows a log-normal, or gamma distribution. The rates of fading expressed in terms of level crossing rate and average fade duration have been also obtained and is represented as Mt = Rt/Rot or Long Term Fading = Mobile Radio Signal/Multipath Fading. A mobile radio signal in wireless communication refers to the electromagnetic wave transmitted by a mobile device, such as a smartphone, over a wireless network & Multipath fading is multipath interference refers to a phenomenon that occurs in wireless communication systems where signals transmitted from a transmitter reach the receiver via multiple paths.
How to calculate Long Term Fading?
The Long Term Fading formula is defined as the short-term variation is due to multipath fading and can be described by either Rician or Nakagami distribution, and the long-term fading usually follows a log-normal, or gamma distribution. The rates of fading expressed in terms of level crossing rate and average fade duration have been also obtained is calculated using Long Term Fading = Mobile Radio Signal/Multipath Fading. To calculate Long Term Fading, you need Mobile Radio Signal (Rt) & Multipath Fading (Rot). With our tool, you need to enter the respective value for Mobile Radio Signal & Multipath Fading and hit the calculate button. You can also select the units (if any) for Input(s) and the Output as well.
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