The stringent requirements for low-latency and privacy of the emerging high-stake
applications with intelligent devices such as drones and smart vehicles make the cloud …

Along with the fast developing of mobile communications technologies, the amount of high
quality wireless services is required and increasing exponentially. According to the …

Whenever communication takes place to fulfill a goal, an effective way to encode the source
data to be transmitted is to use an encoding rule that allows the receiver to meet the …

As the complexity of neural network models has grown, it has become increasingly important
to optimize their design automatically through metalearning. Methods for discovering …

Applications of machine learning are subject to three major components that contribute to
the final performance metrics. Within the category of neural networks, and deep learning …

Next-generation wireless communication networks will benefit from beamforming gain to
utilize higher bandwidths at millimeter wave (mmWave) and terahertz (THz) bands. For high …

Recent work has demonstrated that cutting-edge advances in deep reinforcement learning
(DRL) may be leveraged to empower wireless devices with the much-needed ability to" …

In this chapter we will first describe the basic HF approach, and then examine well-known
performance-improving techniques such as preconditioning which we have found to be …

To satisfy the expected plethora of demanding services, the future generation of wireless
networks (6G) has been mandated as a revolutionary paradigm to carry forward the …

With the advent of big data, deep learning technology has become an important research
direction in the field of machine learning, which has been widely applied in the image …