Space-air-ground integrated 6G wireless communication networks: A review of antenna technologies and application scenarios
A review of technological solutions and advances in the framework of a Vertical
Heterogeneous Network (VHetNet) integrating satellite, airborne and terrestrial networks is …
Heterogeneous Network (VHetNet) integrating satellite, airborne and terrestrial networks is …
Machine learning for future wireless communications
FL Luo - 2020 - books.google.com
A comprehensive review to the theory, application and research of machine learning for
future wireless communications In one single volume, Machine Learning for Future Wireless …
future wireless communications In one single volume, Machine Learning for Future Wireless …
A simple cooperative diversity method based on deep-learning-aided relay selection
W Jiang, HD Schotten - IEEE Transactions on Vehicular …, 2021 - ieeexplore.ieee.org
Opportunistic relay selection (ORS) has been recognized as a simple but efficient method for
mobile nodes to achieve cooperative diversity in slow fading channels. However, the wrong …
mobile nodes to achieve cooperative diversity in slow fading channels. However, the wrong …
Beamforming and power optimization for physical layer security of MIMO-NOMA based CRN over imperfect CSI
The physical layer security (PLS) has become crucial in the fifth generation (5G) wireless
technology where non-orthogonal multiple-access (NOMA) plays an essential role for …
technology where non-orthogonal multiple-access (NOMA) plays an essential role for …
On covert communication performance with outdated CSI in wireless greedy relay systems
Communication performance relies largely on the availability of channel state information
(CSI). This paper investigates the impact of outdated CSI on the achievable covert …
(CSI). This paper investigates the impact of outdated CSI on the achievable covert …
Outage analysis of wireless-powered relaying MIMO systems with non-linear energy harvesters and imperfect CSI
J Zhang, G Pan - IEEE Access, 2016 - ieeexplore.ieee.org
In this paper, we investigate a wireless-powered dual-hop relaying multiple-input multiple-
output system, which consists of a multi-antenna source (S) node, a multi-antenna …
output system, which consists of a multi-antenna source (S) node, a multi-antenna …
Recurrent neural network-based frequency-domain channel prediction for wideband communications
W Jiang, HD Schotten - 2019 IEEE 89th vehicular technology …, 2019 - ieeexplore.ieee.org
Outdated channel state information (CSI) severely degrades the performance of adaptive
transmission systems that adapt their transmissions to channel fading. In contrast with …
transmission systems that adapt their transmissions to channel fading. In contrast with …
Neural network–based wireless channel prediction
W Jiang, H Dieter Schotten… - Machine Learning for …, 2020 - Wiley Online Library
This chapter provides a comprehensive introduction to channel prediction methods with an
emphasis on neural network‐based prediction. It first briefly describes adaptive transmission …
emphasis on neural network‐based prediction. It first briefly describes adaptive transmission …
Unified performance analysis of antenna selection schemes for cooperative MIMO-NOMA with practical impairments
M Aldababsa, E Güven, MA Durmaz… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
This paper presents a unified outage probability (OP) performance analysis of two hybrid
antenna selection (AS) schemes, transmit antenna selection (TAS) and maximal ratio …
antenna selection (AS) schemes, transmit antenna selection (TAS) and maximal ratio …
Secrecy analysis of wireless-powered multi-antenna relaying system with nonlinear energy harvesters and imperfect CSI
J Zhang, G Pan, Y Xie - IEEE Transactions on Green …, 2017 - ieeexplore.ieee.org
In this paper, the secrecy performance of a wireless-powered multi-antenna relaying system,
which consists of a source, a destination, relays (Rs), a power beacon, and an …
which consists of a source, a destination, relays (Rs), a power beacon, and an …