Comprehensive survey on machine learning in vehicular network: Technology, applications and challenges
Towards future intelligent vehicular network, the machine learning as the promising artificial
intelligence tool is widely researched to intelligentize communication and networking …
intelligence tool is widely researched to intelligentize communication and networking …
Compressed sensing for wireless communications: Useful tips and tricks
As a paradigm to recover the sparse signal from a small set of linear measurements,
compressed sensing (CS) has stimulated a great deal of interest in recent years. In order to …
compressed sensing (CS) has stimulated a great deal of interest in recent years. In order to …
Future intelligent and secure vehicular network toward 6G: Machine-learning approaches
As a powerful tool, the vehicular network has been built to connect human communication
and transportation around the world for many years to come. However, with the rapid growth …
and transportation around the world for many years to come. However, with the rapid growth …
Learning the MMSE channel estimator
We present a method for estimating conditionally Gaussian random vectors with random
covariance matrices, which uses techniques from the field of machine learning. Such models …
covariance matrices, which uses techniques from the field of machine learning. Such models …
A GAMP-based low complexity sparse Bayesian learning algorithm
In this paper, we present an algorithm for the sparse signal recovery problem that
incorporates damped Gaussian generalized approximate message passing (GGAMP) into …
incorporates damped Gaussian generalized approximate message passing (GGAMP) into …
Joint channel estimation and data detection in MIMO-OFDM systems: A sparse Bayesian learning approach
The impulse response of wireless channels between the Nt transmit and Nr receive
antennas of a MIMO-OFDM system are group approximately sparse (ga-sparse), ie, the NtNr …
antennas of a MIMO-OFDM system are group approximately sparse (ga-sparse), ie, the NtNr …
Blockchain education
Blockchain is one of the hottest topics nowadays at many societal, industrial and academic
conferences. The Blockchain is the core mechanism of digital currencies like Bitcoin. It has …
conferences. The Blockchain is the core mechanism of digital currencies like Bitcoin. It has …
Joint Bayesian channel estimation and data detection for OTFS systems in LEO satellite communications
Lower earth orbit (LEO) satellites play an important role in the integration of space and
terrestrial communication networks, which typically encounter high-mobility scenarios. It has …
terrestrial communication networks, which typically encounter high-mobility scenarios. It has …
Quasi-static and time-selective channel estimation for block-sparse millimeter wave hybrid MIMO systems: Sparse Bayesian learning (SBL) based approaches
This paper develops schemes for block-sparse channel estimation in millimeter wave
(mmWave) multiple-input multiple-output (MIMO) systems that exploit the spatial sparsity …
(mmWave) multiple-input multiple-output (MIMO) systems that exploit the spatial sparsity …
New results on joint channel and impulsive noise estimation and tracking in underwater acoustic OFDM systems
Impulsive noise can greatly affect the performance of underwater acoustic (UA) orthogonal
frequency-division multiplexing (OFDM) systems. In this paper, by utilizing the sparsity of the …
frequency-division multiplexing (OFDM) systems. In this paper, by utilizing the sparsity of the …