Statistical tools and methodologies for ultrareliable low-latency communication—a tutorial
Ultrareliable low-latency communication (URLLC) constitutes a key service class of the fifth
generation (5G) and beyond cellular networks. Notably, designing and supporting URLLC …
generation (5G) and beyond cellular networks. Notably, designing and supporting URLLC …
Statistical tools and methodologies for URLLC-a tutorial
Ultra-reliable low-latency communication (URLLC) constitutes a key service class of the fifth
generation and beyond cellular networks. Notably, designing and supporting URLLC poses …
generation and beyond cellular networks. Notably, designing and supporting URLLC poses …
Gaussian message passing for overloaded massive MIMO-NOMA
This paper considers a low-complexity Gaussian message passing (GMP) Multi-User
Detection (MUD) scheme for a coded massive multiple-input multiple-output (MIMO) system …
Detection (MUD) scheme for a coded massive multiple-input multiple-output (MIMO) system …
A low-complexity massive MIMO detection based on approximate expectation propagation
Among various massive multiple-input multiple-output (MIMO) signal detection schemes,
expectation propagation (EP) achieves superior performance in high-dimensional systems …
expectation propagation (EP) achieves superior performance in high-dimensional systems …
Massive digital over-the-air computation for communication-efficient federated edge learning
Over-the-air computation (AirComp) is a promising technology converging communication
and computation over wireless networks, which can be particularly effective in model …
and computation over wireless networks, which can be particularly effective in model …
Joint activity and blind information detection for UAV-assisted massive IoT access
Grant-free non-coherent index-modulation (NC-IM) has been recently considered as an
efficient massive access scheme for enabling cost-and energy-limited Internet-of-Things …
efficient massive access scheme for enabling cost-and energy-limited Internet-of-Things …
A unified Bayesian inference framework for generalized linear models
In this letter, we present a unified Bayesian inference framework for generalized linear
models (GLM), which iteratively reduces the GLM problem to a sequence of standard linear …
models (GLM), which iteratively reduces the GLM problem to a sequence of standard linear …
One-bit quantized massive MIMO detection based on variational approximate message passing
One-bit quantization can significantly reduce the massive multiple-input and multiple-output
(MIMO) system hardware complexity, but at the same time it also brings great challenges to …
(MIMO) system hardware complexity, but at the same time it also brings great challenges to …
A concise tutorial on approximate message passing
High-dimensional signal recovery of standard linear regression is a key challenge in many
engineering fields, such as, communications, compressed sensing, and image processing …
engineering fields, such as, communications, compressed sensing, and image processing …
A low-complexity joint user activity, channel and data estimation for grant-free massive MIMO systems
This letter considers a joint user activity, channel and data estimation problem in an uplink
grant-free massive MIMO systems with low-precision analog-to-digital converters (ADCs) …
grant-free massive MIMO systems with low-precision analog-to-digital converters (ADCs) …