2022
DOI: 10.1109/tcomm.2022.3175178
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OFDM-Based Massive Grant-Free Transmission Over Frequency-Selective Fading Channels

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Cited by 10 publications
(2 citation statements)
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“…This is achieved by solving for X g using a corrected version of the measurement matrix Sg , and thus providing a general framework for CS-MUD that can be applied in cases where the sensing matrix has errors [58]. Essentially, we can approximate S g by C g Sg ≈ S g , where C g represents the correction term associated with the model error (18) and that can be obtained through statistical training. Since the MTDs are considered to be stationary, it is possible to acquire each C g offline.…”
Section: A Review Of Aemmentioning
confidence: 99%
“…This is achieved by solving for X g using a corrected version of the measurement matrix Sg , and thus providing a general framework for CS-MUD that can be applied in cases where the sensing matrix has errors [58]. Essentially, we can approximate S g by C g Sg ≈ S g , where C g represents the correction term associated with the model error (18) and that can be obtained through statistical training. Since the MTDs are considered to be stationary, it is possible to acquire each C g offline.…”
Section: A Review Of Aemmentioning
confidence: 99%
“…ñ, m, k,l δ[ξ ñ mk −1]CN h ñ mk l ; 0, σ ñ mk +δ[ξ ñ mk ]δ(h ñ mk l ) ,where ξ ñ mk and σ ñ mk are the (ñ M K + m K + k)-th elements of the state indicator vector ξ ∈ B that the DAD-domain channel elements of different subbands can be processed independently and share the same state indicator and prior variance. The probability density function (PDF) of ξ follows the Bernoulli distribution as[34] …”
mentioning
confidence: 99%