A survey on beyond 5G network with the advent of 6G: Architecture and emerging technologies
A Dogra, RK Jha, S Jain - IEEE access, 2020 - ieeexplore.ieee.org
Nowadays, 5G is in its initial phase of commercialization. The 5G network will revolutionize
the existing wireless network with its enhanced capabilities and novel features. 5G New …
the existing wireless network with its enhanced capabilities and novel features. 5G New …
A survey of beam management for mmWave and THz communications towards 6G
Communication in millimeter wave (mmWave) and even terahertz (THz) frequency bands is
ushering in a new era of wireless communications. Beam management, namely initial …
ushering in a new era of wireless communications. Beam management, namely initial …
Wi-Fi meets ML: A survey on improving IEEE 802.11 performance with machine learning
Wireless local area networks (WLANs) empowered by IEEE 802.11 (Wi-Fi) hold a dominant
position in providing Internet access thanks to their freedom of deployment and configuration …
position in providing Internet access thanks to their freedom of deployment and configuration …
Deep reinforcement learning for 5G networks: Joint beamforming, power control, and interference coordination
The fifth generation of wireless communications (5G) promises massive increases in traffic
volume and data rates, as well as improved reliability in voice calls. Jointly optimizing …
volume and data rates, as well as improved reliability in voice calls. Jointly optimizing …
Beam management in millimeter-wave communications for 5G and beyond
YNR Li, B Gao, X Zhang, K Huang - IEEE Access, 2020 - ieeexplore.ieee.org
Massive MIMO is one of the promising techniques to improve spectral efficiency and network
performance for reaching its targeted multi-gigabit throughput in 5G systems. For 5G New …
performance for reaching its targeted multi-gigabit throughput in 5G systems. For 5G New …
Multi-task learning for generalized automatic modulation classification under non-Gaussian noise with varying SNR conditions
Automatic modulation classification (AMC) is a critical algorithm for the identification of
modulation types so as to enable more accurate demodulation in the non-cooperative …
modulation types so as to enable more accurate demodulation in the non-cooperative …
Deep learning-based mmWave beam selection for 5G NR/6G with sub-6 GHz channel information: Algorithms and prototype validation
In fifth-generation (5G) communications, millimeter wave (mmWave) is one of the key
technologies to increase the data rate. To overcome this technology's poor propagation …
technologies to increase the data rate. To overcome this technology's poor propagation …
Beam management in ultra-dense mmWave network via federated reinforcement learning: An intelligent and secure approach
Deploying ultra-dense networks that operate on millimeter wave (mmWave) band is a
promising way to address the tremendous growth on mobile data traffic. However, one key …
promising way to address the tremendous growth on mobile data traffic. However, one key …
Joint antenna selection and hybrid beamformer design using unquantized and quantized deep learning networks
In millimeter-wave communications, multiple-input-multiple-output (MIMO) systems use large
antenna arrays to achieve high gain and spectral efficiency. These massive MIMO systems …
antenna arrays to achieve high gain and spectral efficiency. These massive MIMO systems …
Enabling AI in future wireless networks: A data life cycle perspective
Recent years have seen rapid deployment of mobile computing and Internet of Things (IoT)
networks, which can be mostly attributed to the increasing communication and sensing …
networks, which can be mostly attributed to the increasing communication and sensing …