Grant-free access via bilinear inference for cell-free MIMO with low-coherence pilots
We propose a novel joint activity, channel and data estimation (JACDE) scheme for multiple-
input multiple-output (MIMO) systems. The contribution aims to allow significant overhead …
input multiple-output (MIMO) systems. The contribution aims to allow significant overhead …
Memory amp
L Liu, S Huang, BM Kurkoski - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Approximate message passing (AMP) is a low-cost iterative parameter-estimation technique
for certain high-dimensional linear systems with non-Gaussian distributions. AMP only …
for certain high-dimensional linear systems with non-Gaussian distributions. AMP only …
Bayes-optimal convolutional AMP
K Takeuchi - IEEE Transactions on Information Theory, 2021 - ieeexplore.ieee.org
This paper proposes Bayes-optimal convolutional approximate message-passing (CAMP)
for signal recovery in compressed sensing. CAMP uses the same low-complexity matched …
for signal recovery in compressed sensing. CAMP uses the same low-complexity matched …
On OAMP: Impact of the orthogonal principle
Approximate Message Passing (AMP) is an efficient iterative parameter-estimation
technique for certain high-dimensional linear systems with non-Gaussian distributions, such …
technique for certain high-dimensional linear systems with non-Gaussian distributions, such …
Memory approximate message passing
L Liu, S Huang, BM Kurkoski - 2021 IEEE International …, 2021 - ieeexplore.ieee.org
Approximate message passing (AMP) is a low-cost iterative parameter-estimation technique
for certain high-dimensional linear systems with non-Gaussian distributions. However, AMP …
for certain high-dimensional linear systems with non-Gaussian distributions. However, AMP …
Model-driven deep learning-based MIMO-OFDM detector: Design, simulation, and experimental results
Multiple-input multiple-output orthogonal frequency division multiplexing (MIMO-OFDM), a
fundamental transmission scheme, promises high throughput and robustness against …
fundamental transmission scheme, promises high throughput and robustness against …
A unified framework of state evolution for message-passing algorithms
K Takeuchi - 2019 IEEE International Symposium on …, 2019 - ieeexplore.ieee.org
This paper presents a unified framework to understand the dynamics of message-passing
algorithms in compressed sensing. State evolution is rigorously analyzed for a general error …
algorithms in compressed sensing. State evolution is rigorously analyzed for a general error …
A Bayesian receiver with improved complexity-reliability trade-off in massive MIMO systems
A Kosasih, V Miloslavskaya… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
The stringent requirements on reliability and processing delay in the fifth-generation (5G)
cellular networks introduce considerable challenges in the design of massive multiple-input …
cellular networks introduce considerable challenges in the design of massive multiple-input …
Compressed sensing with upscaled vector approximate message passing
N Skuratovs, ME Davies - IEEE Transactions on Information …, 2022 - ieeexplore.ieee.org
The Recently proposed Vector Approximate Message Passing (VAMP) algorithm
demonstrates a great reconstruction potential at solving compressed sensing related linear …
demonstrates a great reconstruction potential at solving compressed sensing related linear …
Model-driven deep learning-based signal detector for CP-free MIMO-OFDM systems
The absence of cyclic prefix (CP) can increase the spectral efficiency of multiple-input
multiple-output orthogonal frequency division multiplexing (MIMO-OFDM) systems …
multiple-output orthogonal frequency division multiplexing (MIMO-OFDM) systems …