Interference channel

In information theory, the interference channel is the basic model used to analyze the effect of interference in communication channels. The model consists of two pairs of users communicating through a shared channel. The problem of interference between two mobile users in close proximity or crosstalk between two parallel landlines are two examples where this model is applicable. Unlike in the point-to-point channel, where the amount of information that can be sent through the channel is limited by the noise that distorts the transmitted signal, in the interference channel the presence of the signal from the other user may also impair the communication. However, since the transmitted signals are not purely random (otherwise they would not be decodable), the receivers may be able to reduce the effect of the interference by partially or totally decoding the undesired signal.

In information theory, the interference channel is the basic model used to analyze the effect of interference in communication channels. The model consists of two pairs of users communicating through a shared channel. The problem of interference between two mobile users in close proximity or crosstalk between two parallel landlines are two examples where this model is applicable. Unlike in the point-to-point channel, where the amount of information that can be sent through the channel is limited by the noise that distorts the transmitted signal, in the interference channel the presence of the signal from the other user may also impair the communication. However, since the transmitted signals are not purely random (otherwise they would not be decodable), the receivers may be able to reduce the effect of the interference by partially or totally decoding the undesired signal. ==References== ===Further references=== R. Ahlswede, “The Capacity Region of a Channel with Two Senders and Two Receivers,” The Annals of Probability, vol. 2, No. 5, pp. 805–814, Oct. 1974. ===Extensions=== O. Sahin and E. Erkip, “Achievable Rates for the Gaussian Interference Relay Channel,” in IEEE Global Telecommunications Conference, 2007, Nov. 2007, pp. 1627–1631. I. Marić, R. Dabora, and A. J. Goldsmith, “Relaying in the Presence of Interference: Achievable Rates, Interference Forwarding, and Outer Bounds,” IEEE Trans. Inf. Theory, vol. 58, no. 7, pp. 4342–4354, Jul. 2012. G. Bassi, P. Piantanida, and S. Yang, “Capacity Bounds for a Class of Interference Relay Channels,” IEEE Trans. Inf. Theory, vol. 61, no. 7, pp. 3698–3721, Jul. 2015.

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