[HTML][HTML] Antenna selection for MIMO system based on pattern recognition

P Yang, J Zhu, Y Xiao, Z Chen - Digital Communications and Networks, 2019 - Elsevier
This paper proposes a novel Multiple-Input Multiple-Output (MIMO) transmission scheme
based on Pattern Recognition (PR), which is termed as the PR aided Transmission Antenna …

Adaptive grouping sparse Bayesian learning for channel estimation in non-stationary uplink massive MIMO systems

X Cheng, K Xu, J Sun, S Li - IEEE Transactions on Wireless …, 2019 - ieeexplore.ieee.org
This paper addresses wideband channel estimation in an uplink massive multiple-input
multiple-output (MIMO) system, which consists of multiple single-antenna users and a base …

Beam-blocked channel estimation for FDD massive MIMO with compressed feedback

W Huang, Y Huang, W Xu, L Yang - IEEE Access, 2017 - ieeexplore.ieee.org
To fully exploit both multiplexing gain and array gain of massive multiple-input-
multipleoutput (MIMO), the channel state information must be obtained accurately at …

High-dimensional CSI acquisition in massive MIMO: Sparsity-inspired approaches

JC Shen, J Zhang, KC Chen… - IEEE Systems Journal, 2016 - ieeexplore.ieee.org
Massive multiple-input-multiple-output (MIMO) has been regarded as one of the key
technologies for fifth-generation wireless networks, as it can significantly improve both the …

A differential QAM detection in uplink massive MIMO systems

D Kong, XG Xia, T Jiang - IEEE Transactions on Wireless …, 2016 - ieeexplore.ieee.org
In this paper, we address differential non-coherence detections in uplink massive multiple
input multiple output (MIMO) systems. Utilizing the channel statistics information, a special …

Super-resolution blind channel-and-signal estimation for massive MIMO with one-dimensional antenna array

H Liu, X Yuan, YJ Zhang - IEEE Transactions on Signal …, 2019 - ieeexplore.ieee.org
In this paper, we study blind channel-and-signal estimation by exploiting the burst-sparse
structure of angular-domain propagation channels in massive MIMO systems. The state-of …

A Fully Bayesian Approach for Massive MIMO Unsourced Random Access

JC Jiang, HM Wang - IEEE Transactions on Communications, 2023 - ieeexplore.ieee.org
In this paper, we propose a novel fully Bayesian approach for the massive multiple-input
multiple-output (MIMO) massive unsourced random access (URA). The payload of each user …

Machine learning classifier approach with gaussian process, ensemble boosted trees, SVM, and linear regression for 5g signal coverage mapping

A Gupta, K Ghanshala, RC Joshi - IJIMAI, 2021 - dialnet.unirioja.es
This article offers a thorough analysis of the machine learning classifiers approaches for the
collected Received Signal Strength Indicator (RSSI) samples which can be applied in …

A Review of Fundamental Optimization Approaches and the Role of AI Enabling Technologies in Physical Layer Security

MK Tefera, Z Jin, S Zhang - Sensors, 2022 - mdpi.com
With the proliferation of 5G mobile networks within next-generation wireless communication,
the design and optimization of 5G networks are progressing in the direction of improving the …

Channel estimation for OTFS system over doubly spread sparse acoustic channels

Y Zhang, Q Zhang, C He, C Long - China Communications, 2023 - ieeexplore.ieee.org
This paper addresses sparse channels estimation problem for the generalized linear models
(GLM) in the orthogonal time frequency space (OTFS) underwater acoustic (UWA) system …