Volume 16, Issue 2 (June 2020)                   IJEEE 2020, 16(2): 137-145 | Back to browse issues page


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Monemizadeh M, Fehri H, Abed Hodtani G, Hajizadeh S. Capacity Bounds and High-SNR Capacity of the Additive Exponential Noise Channel With Additive Exponential Interference. IJEEE 2020; 16 (2) :137-145
URL: http://ijeee.iust.ac.ir/article-1-1335-en.html
Abstract:   (5457 Views)
Communication in the presence of a priori known interference at the encoder has gained great interest because of its many practical applications. In this paper, additive exponential noise channel with additive exponential interference (AENC-AEI) known non-causally at the transmitter is introduced as a new variant of such communication scenarios‎. First, it is shown that the additive Gaussian channel with a priori known interference at the encoder when the transmitter suffers from a fast-varying phase noise can be modeled by the AENC-AEI. Then, capacity bounds for this channel under a non-negativity constraint as well as a mean value constraint on input are derived‎. ‎Finally, it is shown both analytically and numerically that the upper and lower bounds coincide at high signal to noise ratios (SNRs), and therefore‎, ‎the capacity of the AENC-AEI at high SNRs is obtained. Interestingly, this high SNR-capacity has a simple closed-form expression and is independent of the interference mean, analogous to its Gaussian counterpart.
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Reseach Highlights:
  • We introduced the additive exponential noise (AEN) channel afflicted by an extra additive exponential interference (AEI) in which full knowledge of the additive interference is given to the transmitter.
  • The AENC-AEI is in fact an exponential version of the Costa’s dirty paper channel.
  • The AENC-AEI is a natural model for the complex-valued AWGNC-AWI when the transmitted signal suffers from a fast-varying phase noise and the receiver has to use a non-coherent detector to recover transmitted information.
  • Interestingly, the high SNR-capacity of the AENC-AEI (obtained in this paper) is independent of the interference mean and has a simple closed-form expression, analogous to its Gaussian counterpart.

Type of Study: Research Paper | Subject: Communication Systems
Received: 2018/09/07 | Revised: 2019/08/06 | Accepted: 2019/08/10

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© 2022 by the authors. Licensee IUST, Tehran, Iran. This is an open access journal distributed under the terms and conditions of the Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) license.