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AI‐Aided Channel Prediction

The wireless communication systems of today rely to a large extent on the condition of the accessible channel state information (CSI) at the transmitter and receiver. Channel aging, denoting the temporal and spatial evolution of wireless …

Machine Learning for Spectrum Sharing: A Survey

The 5th generation (5G) of wireless systems is being deployed with the aim to provide many sets of wireless communication services, such as low data rates for a massive amount of devices, broadband, low latency, and industrial wireless access. Such …

Blind federated learning via over-the-air q-QAM

In this work, we investigate federated edge learning over a fading multiple access channel. To alleviate the communication burden between the edge devices and the access point, we introduce a pioneering digital over-the-air computation strategy …

Over-the-Air Histogram Estimation

Communication and computation are traditionally treated as separate entities, allowing for individual optimizations. However, many applications focus on local information’s functionality rather than the information itself. For such cases, harnessing …

A comparison of neural networks for wireless channel prediction

This paper investigates efficient distributed training of a Federated Learning (FL) model over a wireless network of wireless devices. The communication iterations of the distributed training algorithm may be substantially deteriorated or even …

A comparison of neural networks for wireless channel prediction

The performance of modern wireless communications systems depends critically on the quality of the available channel state information (CSI) at the transmitter and receiver. Several previous works have proposed concepts and algorithms that help …

Guest Editorial Special Section on Distributed Edge Learning in Wireless Networks

Distributed machine learning at the network edge has emerged as a promising new paradigm. Various machine learning (ML) technologies will distill Artificial Intelligence (AI) from enormous mobile data to automate future wireless networking and a wide …

ChannelComp: A general method for computation by communications

Over-the-air computation (AirComp) is a well-known technique by which several wireless devices transmit by analog amplitude modulation to achieve a sum of their transmit signals at a common receiver. The underlying physical principle is the …

Data sets for machine learning in wireless communications and networks

The articles in this special section focus on the role of data sets for the evolution of the telecommunication industry in the 5G and 6G era. In 5G and 6G, many new services are emerging to accommodate various Internet of Things (IoT) devices, going …

Hierarchical online game-theoretic framework for real-time energy trading in smart grid

In this paper, the real-time energy trading problem between the energy provider and the consumers in a smart grid system is studied. The problem is formulated as a hierarchical game, where the energy provider acts as a leader who determines the …