Multipath Fading Solution

STEP 0: Pre-Calculation Summary
Formula Used
Multipath Fading = Mobile Radio Signal/Long Term Fading
Rot = Rt/Mt
This formula uses 3 Variables
Variables Used
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.
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.
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.
STEP 1: Convert Input(s) to Base Unit
Mobile Radio Signal: 26 --> No Conversion Required
Long Term Fading: 2.5 --> No Conversion Required
STEP 2: Evaluate Formula
Substituting Input Values in Formula
Rot = Rt/Mt --> 26/2.5
Evaluating ... ...
Rot = 10.4
STEP 3: Convert Result to Output's Unit
10.4 --> No Conversion Required
FINAL ANSWER
10.4 <-- Multipath Fading
(Calculation completed in 00.004 seconds)

Credits

Created by Shobhit Dimri
Bipin Tripathi Kumaon Institute of Technology (BTKIT), Dwarahat
Shobhit Dimri has created this Calculator and 900+ more calculators!
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

Multipath Fading Formula

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

Is multipath fading good or bad?

Although multipath is usually detrimental, it can be sometimes beneficial. In path or multipath diversity, the multipath components when they are resolvable and nonoverlapping can be effectively utilized. This implicit diversity is available if the signal bandwidth is much larger than the channel coherence bandwidth.

How to Calculate Multipath Fading?

Multipath Fading calculator uses Multipath Fading = Mobile Radio Signal/Long Term Fading to calculate the Multipath Fading, The Multipath Fading formula is defined as occurs in any environment where there is multipath propagation and the paths change for some reason. This will change not only their relative strengths but also their phases, as the path lengths will change. Multipath fading may also cause distortion to the radio signal. Multipath Fading is denoted by Rot symbol.

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

FAQ

What is Multipath Fading?
The Multipath Fading formula is defined as occurs in any environment where there is multipath propagation and the paths change for some reason. This will change not only their relative strengths but also their phases, as the path lengths will change. Multipath fading may also cause distortion to the radio signal and is represented as Rot = Rt/Mt or Multipath Fading = Mobile Radio Signal/Long Term 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 & 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.
How to calculate Multipath Fading?
The Multipath Fading formula is defined as occurs in any environment where there is multipath propagation and the paths change for some reason. This will change not only their relative strengths but also their phases, as the path lengths will change. Multipath fading may also cause distortion to the radio signal is calculated using Multipath Fading = Mobile Radio Signal/Long Term Fading. To calculate Multipath Fading, you need Mobile Radio Signal (Rt) & Long Term Fading (Mt). With our tool, you need to enter the respective value for Mobile Radio Signal & Long Term 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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