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 …
A literature survey on AI-aided beamforming and beam management for 5G and 6G systems
DS Brilhante, JC Manjarres, R Moreira… - Sensors, 2023 - mdpi.com
Modern wireless communication systems rely heavily on multiple antennas and their
corresponding signal processing to achieve optimal performance. As 5G and 6G networks …
corresponding signal processing to achieve optimal performance. As 5G and 6G networks …
[HTML][HTML] Communication-efficient hierarchical federated learning for IoT heterogeneous systems with imbalanced data
Federated Learning (FL) is a distributed learning methodology that allows multiple nodes to
cooperatively train a deep learning model, without the need to share their local data. It is a …
cooperatively train a deep learning model, without the need to share their local data. It is a …
From 5G to 6G technology: meets energy, internet-of-things and machine learning: a survey
Due to the rapid development of the fifth-generation (5G) applications, and increased
demand for even faster communication networks, we expected to witness the birth of a new …
demand for even faster communication networks, we expected to witness the birth of a new …
Transmit antenna selection for full-duplex spatial modulation based on machine learning
In this paper, we first derive the channel capacity of the full-duplex spatial modulation (FD-
SM) system and its upper and lower bounds. Furthermore, different from the traditional …
SM) system and its upper and lower bounds. Furthermore, different from the traditional …
Reconfigurable intelligent surface assisted edge machine learning
The ever-growing popularity and rapid improving of artificial intelligence (AI) have raised
rethinking on the evolution of wireless networks. Mobile edge computing (MEC) provides a …
rethinking on the evolution of wireless networks. Mobile edge computing (MEC) provides a …
[PDF][PDF] Wireless AI: Enabling an AI-governed data life cycle
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 …
[HTML][HTML] Multi-connectivity in 5G New Radio: Optimal resource allocation for split bearer and data duplication
Mobile radio networks have been evolving towards the integration of services and devices
with a diverse set of throughput, latency, and reliability requirements. To support these …
with a diverse set of throughput, latency, and reliability requirements. To support these …
Optimal split bearer control and resource allocation for multi-connectivity in 5G new radio
Wireless cellular systems are evolving towards the integration of services and devices with a
diverse set of throughput, latency, and reliability requirements. To this end, 3GPP has …
diverse set of throughput, latency, and reliability requirements. To this end, 3GPP has …
Tactful networking: Humans in the communication loop
This survey discusses the human-perspective into networking through the Tactful
Networking paradigm, whose goal is to add perceptive senses to the network by assigning it …
Networking paradigm, whose goal is to add perceptive senses to the network by assigning it …