2018
DOI: 10.1016/j.aeue.2018.03.010
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Impact of hardware impairments on large-scale MIMO systems over composite RG fading channels

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Cited by 10 publications
(12 citation statements)
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References 30 publications
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“…7 presents the OP and IP versus distortion noise parameter for different power allocation efficients (µ = 0.8, 1). As in [28], we take the range of transceiver distortion noise is κ ∈ [0, 0.4]. In this simulation, we set α = 2, SNR = 5dB, {ξ 1 , ξ 2 } = {0.06, 0.95}, K = 2, N = 2 and σ e 2 = 0.05.…”
Section: Numerical Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…7 presents the OP and IP versus distortion noise parameter for different power allocation efficients (µ = 0.8, 1). As in [28], we take the range of transceiver distortion noise is κ ∈ [0, 0.4]. In this simulation, we set α = 2, SNR = 5dB, {ξ 1 , ξ 2 } = {0.06, 0.95}, K = 2, N = 2 and σ e 2 = 0.05.…”
Section: Numerical Resultsmentioning
confidence: 99%
“…In practice, the transceivers of wireless systems suffer from some types of hardware imperfections, such as in-phase/quadrature-phase (I/Q) imbalance, phase noise, high-power amplifier non-linearity etc. [27][28][29][30]. Althrough these impairments can usually be mitigated with the help of some compensation algorithms, due to the inherent characteristics of RF components, the HIs cannot be fully removed.…”
Section: Introductionmentioning
confidence: 99%
“…Especially, the authors in Li et al studied the performance analysis of distributed MIMO with zero‐forcing (ZF) receivers over semi‐correlated K fading channels and Gamma shadowed correlated Rician fading channels, respectively. Additionally, massive MIMO systems with hardware impairments were discussed in the literatures . In order to reduce the complexity of the analysis, in these existing literatures, the exact ergodic achievable rate was handled as a lower bound closed‐form expression.…”
Section: Introductionmentioning
confidence: 99%
“…The authors in [25] derived the expressions of outage probability and approximate ergodic sum rate for analysis the deleterious effect of RHIs on the dual-hop NOMA network. The performance of wireless communication systems in the presence of RHIs has been extensively studied, e.g., see [26][27][28] and the references therein. The authors in [26] analyzed the effect of RHIs on the ergodic channel and ergodic sum rates of optimal and linear minimum mean-square-error (MMSE) receivers of MIMO systems.…”
Section: Introductionmentioning
confidence: 99%
“…The authors in [26] analyzed the effect of RHIs on the ergodic channel and ergodic sum rates of optimal and linear minimum mean-square-error (MMSE) receivers of MIMO systems. In [27], authors investigated the lower bound for the achievable sum rate of regular and large-scale MIMO systems with zero-forcing receivers in the presence of RHIs. In [28], exact closed-form expressions of outage probability and asymptotic expressions were derived in a TWR cooperative network with opportunistic relay selection, and the allocation of the fixed hardware impairments are analyzed as well.…”
Section: Introductionmentioning
confidence: 99%