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On the Relationships Between Average Channel Capacity, Average Bit Error Rate, Outage probability and Outage Capacity over Additive White Gaussian Noise Channels
In wireless communications, average performance measures (APMs) such as ...
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A General Conditional BER Expression of Rectangular QAM in the Presence of Phase Noise
In this paper, we newly present a closed-form bit-error rate (BER) expre...
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Performance of Intelligent Reconfigurable Surface-Based Wireless Communications Using QAM Signaling
Intelligent reconfigurable surface (IRS) is being seen as a promising te...
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Design of Protograph Codes for Additive White Symmetric Alpha-Stable Noise Channels
The protograph low-density parity-check (LDPC) codes possess many attrac...
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Selective De-noising of Sparse-Coloured Images
Since time immemorial, noise has been a constant source of disturbance t...
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On the Capacity of MIMO Broadband Power Line Communications Channels
Communications over power lines in the frequency range above 2 MHz, comm...
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Closed-Form Word Error Rate Analysis for Successive Interference Cancellation Decoders
We consider the estimation of an integer vector ∈Z^n from the linear obs...
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McLeish Distribution: Performance of Digital Communications over Additive White McLeish Noise (AWMN) Channels
The objective of this article is to statistically characterize and describe a more general additive noise distribution, termed as McLeish distribution, whose random nature can model different impulsive noise environments often encountered in practice and provides a robust alternative to Gaussian distribution. Accordingly, we develop circularly and elliptically symmetric multivariate McLeish distribution and introduce additive white McLeish noise (AWMN) channels. In particular, we propose novel analytical and closed-form expressions for the symbol error rate (SER) performance of coherent/non-coherent signaling using various digital modulation techniques over AWMN channels. In that context, we illustrate some novel expressions by some selected numerical examples and verify them by some well chosen computer-based simulations.
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