Beyond deep reinforcement learning: A tutorial on generative diffusion models in network optimization
Generative Diffusion Models (GDMs) have emerged as a transformative force in the realm of
Generative Artificial Intelligence (GAI), demonstrating their versatility and efficacy across a …
Generative Artificial Intelligence (GAI), demonstrating their versatility and efficacy across a …
Channel estimation techniques for millimeter-wave communication systems: Achievements and challenges
K Hassan, M Masarra, M Zwingelstein… - IEEE Open Journal of …, 2020 - ieeexplore.ieee.org
The fifth-generation (5G) of cellular networks and beyond requires massive connectivity,
high data rates, and low latency. Millimeter-wave (mmWave) communications is a key 5G …
high data rates, and low latency. Millimeter-wave (mmWave) communications is a key 5G …
Deep learning coordinated beamforming for highly-mobile millimeter wave systems
A Alkhateeb, S Alex, P Varkey, Y Li, Q Qu… - IEEE …, 2018 - ieeexplore.ieee.org
Supporting high mobility in millimeter wave (mmWave) systems enables a wide range of
important applications, such as vehicular communications and wireless virtual/augmented …
important applications, such as vehicular communications and wireless virtual/augmented …
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 …
Frequency selective hybrid precoding for limited feedback millimeter wave systems
A Alkhateeb, RW Heath - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
Hybrid analog/digital precoding offers a compromise between hardware complexity and
system performance in millimeter wave (mmWave) systems. This type of precoding allows …
system performance in millimeter wave (mmWave) systems. This type of precoding allows …
Dynamic subarrays for hybrid precoding in wideband mmWave MIMO systems
Hybrid analog/digital precoding architectures can address the tradeoff between achievable
spectral efficiency and power consumption in large-scale MIMO systems. This makes them a …
spectral efficiency and power consumption in large-scale MIMO systems. This makes them a …
Channel estimation for hybrid architecture-based wideband millimeter wave systems
Hybrid analog and digital precoding allows millimeter wave (mmWave) systems to achieve
both array and multiplexing gain. The design of the hybrid precoders and combiners …
both array and multiplexing gain. The design of the hybrid precoders and combiners …
Enabling UAV cellular with millimeter-wave communication: Potentials and approaches
To support high data rate urgent or ad hoc communications, we consider mmWave UAV
cellular networks and the associated challenges and solutions. To enable fast beamforming …
cellular networks and the associated challenges and solutions. To enable fast beamforming …
Channel estimation in broadband millimeter wave MIMO systems with few-bit ADCs
We develop a broadband channel estimation algorithm for millimeter wave (mmWave)
multiple input multiple output (MIMO) systems with few-bit analog-to-digital converters …
multiple input multiple output (MIMO) systems with few-bit analog-to-digital converters …
Frequency-domain compressive channel estimation for frequency-selective hybrid millimeter wave MIMO systems
J Rodríguez-Fernández… - IEEE Transactions …, 2018 - ieeexplore.ieee.org
Channel estimation is useful in millimeter wave (mm-wave) MIMO communication systems.
Channel state information allows optimized designs of precoders and combiners under …
Channel state information allows optimized designs of precoders and combiners under …