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“…With the aim of investigating the time-slotted and non-time-slotted grant-free NOMA, the work in [109] applies the bilinear generalized approximate message passing (BiG-AMP) [110] algorithm to mMTC. In order to address the overhead problem, the work in [111] proposes a Bayesian receiver design for grant-free low density signature orthogonal frequency division multiplexing (LDS-OFDM). This approach is composed by the belief propagation (BP), expectation propagation (EP) and mean field (MF) techniques, so that the scheme jointly estimates the channels and performs activity and data detection, avoiding the use of metadata signals.…”
Section: Discussionmentioning
“…Furthermore, variational inference techniques combined with AMP that use Kullback-Leibler divergence to transform an intractable inference problem into a tractable optimization problem have been reported [50], [58], [59], [60]. Recently, approaches that jointly perform the activity and data detection and channel estimation using message passing have been studied [60], [61], [62], [63], [64], [65], [66]. The works in [60], [61] design SCMA receivers, where [61] proposes a Kronecker-product coding scheme to the data detection part.…”
Section: Introductionmentioning
“…As for Bayesian JACDE schemes, most of the existing works on that approach, e.g. [11]- [15], are extensions of the aforementioned Bayesian JACE in which spreading data sequences generated by multiplying data symbols with their unique spreading signatures are transmitted (please refer to the system model given in e.g. [11]- [15] for more technical details), while leveraging a similar receiver design as that of Bayesian JACE methods.…”
Section: Introductionmentioning
“…With the aim of investigating the time-slotted and non-time-slotted grant-free NOMA, the work in [70] applies the bilinear generalized approximate message passing (BiG-AMP) [112] algorithm to mMTC. In order to address the overhead problem, the work in [74] proposes a Bayesian receiver design for grant-free low density signature orthogonal frequency division multiplexing (LDS-OFDM). This approach is composed by the belief propagation (BP), expectation propagation (EP) and mean field (MF) techniques, so that the scheme jointly estimates the channels and performs activity and data detection, avoiding the use of metadata signals.…”
Section: Discussion and Complexity Analysismentioning
“…Recently, there are a few solutions that jointly perform the activity and data detection and channel estimation. Due to the computational cost, most of them are message-passing solutions, as [69][70][71][72][73][74].…”
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