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Environmental noise can be any external noise that can potentially impact the effectiveness of communication. [2] These noises can be any type of sight (i.e., car accident, television show), sound (i.e., talking, music, ringtones), or stimuli (i.e., tapping on the shoulder) that can distract someone from receiving the message. [3]
One of the causes of intersymbol interference is multipath propagation in which a wireless signal from a transmitter reaches the receiver via multiple paths. The causes of this include reflection (for instance, the signal may bounce off buildings), refraction (such as through the foliage of a tree) and atmospheric effects such as atmospheric ducting and ionospheric reflection.
In information theory and telecommunication engineering, the signal-to-interference-plus-noise ratio (SINR [1]) (also known as the signal-to-noise-plus-interference ratio (SNIR) [2]) is a quantity used to give theoretical upper bounds on channel capacity (or the rate of information transfer) in wireless communication systems such as networks.
Both signal and noise power must be measured at the same or equivalent points in a system, and within the same system bandwidth. The signal-to-noise ratio of a random variable (S) to random noise N is: [1] = [] [],
The theorem establishes Shannon's channel capacity for such a communication link, a bound on the maximum amount of error-free information per time unit that can be transmitted with a specified bandwidth in the presence of the noise interference, assuming that the signal power is bounded, and that the Gaussian noise process is characterized by a ...
The noise equivalent bandwidth (or equivalent noise bandwidth (enbw)) of a system of frequency response is the bandwidth of an ideal filter with rectangular frequency response centered on the system's central frequency that produces the same average power outgoing () when both systems are excited with a white noise source. The value of the ...
A solution to interference problems in wireless communication networks is interference alignment, which was crystallized by Syed Ali Jafar at the University of California, Irvine. [1] A specialized application was previously studied by Yitzhak Birk and Tomer Kol for an index coding problem in 1998.
Different types of noise are generated by different devices and different processes. Thermal noise is unavoidable at non-zero temperature (see fluctuation-dissipation theorem), while other types depend mostly on device type (such as shot noise, [1] [3] which needs a steep potential barrier) or manufacturing quality and semiconductor defects, such as conductance fluctuations, including 1/f noise.