May 4, 2015 · The approximation does not have additive noise, but constrains the channel output (without noise) to be above a threshold in absolute value. The ...
Since the transmitters in some of these systems can be more complex and operate at high powers, the channel input may not have severe quantization limits.
The capacity under the approximation is computed using methods involving standard Gibbs distributions. Markovian achievable schemes approaching the approximate ...
Bibliographic details on Approximation of Capacity for ISI Channels with One-bit Output Quantization.
Jun 5, 2015 · Approximation of Capacity for ISI Channels with One-Bit Output Quantization. Authors: Radha Krishna Ganti; Indian Institute of Technology ...
Mar 21, 2017 · Abstract—This paper considers channel estimation and system performance for the uplink of a single-cell massive multiple-input.
This paper analyzes the flat fading multiple-input multiple-output (MIMO) channel with one-bit ADCs and derives the exact channel capacity and proposes an ...
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Nov 20, 2020 · This study presents methods to approach this with sophisticated channel coding. Iterative detection and decoding is considered, which exploits the soft ...
Marinescu et al., 2012) The capacity of a channel can be calculated using the formula C(γ) = log2(1+γ) in bits per channel use, where γ is the signal-to-noise ...
Hence, frequency selectivity is beneficial for linear receivers in massive MIMO because it reduces the quantization error and makes it circularly symmetric and ...