A survey of advances in optimization methods for wireless communication system design
Mathematical optimization is now widely regarded as an indispensable modeling and
solution tool for the design of wireless communications systems. While optimization has …
solution tool for the design of wireless communications systems. While optimization has …
Recurrent neural network and federated learning based channel estimation approach in mmWave massive MIMO systems
S Shahabodini, M Mansoori, J Abouei… - Transactions on …, 2024 - Wiley Online Library
So far, various data‐driven approaches have been presented to obtain channel state
information (CSI) in millimeter wave multiple‐input‐multiple‐output wireless networks. In …
information (CSI) in millimeter wave multiple‐input‐multiple‐output wireless networks. In …
Multi-agent deep reinforcement learning for beam codebook design in RIS-aided systems
Reconfigurable intelligent surfaces (RISs) play a vital role in future wireless systems with the
capability of enhancing propagation environments by intelligently reflecting the signals …
capability of enhancing propagation environments by intelligently reflecting the signals …
Best Arm Identification Based Beam Acquisition in Stationary and Abruptly Changing Environments
G Ghatak - IEEE Transactions on Signal Processing, 2024 - ieeexplore.ieee.org
We study the initial beam acquisition problem in millimeter wave (mm-wave) networks from
the perspective of best arm identification in multi-armed bandits (MABs). For the stationary …
the perspective of best arm identification in multi-armed bandits (MABs). For the stationary …
Deep Active Learning for mmWave Array-Based Multi-Source AoA Tracking
In this paper, we investigate the problem of tracking the angles of arrival (AoAs) of multiple
sources in millimeter wave (mmWave) systems with a limited number of radio frequency (RF) …
sources in millimeter wave (mmWave) systems with a limited number of radio frequency (RF) …
Single-and Multi-Agent Private Active Sensing: A Deep Neuroevolution Approach
G Stamatelis, AN Kanatas, I Asprogerakas… - arXiv preprint arXiv …, 2024 - arxiv.org
In this paper, we focus on one centralized and one decentralized problem of active
hypothesis testing in the presence of an eavesdropper. For the centralized problem …
hypothesis testing in the presence of an eavesdropper. For the centralized problem …
Physical Beam Sharing for Communications with Multiple Low Earth Orbit Satellites
Physical (analog) beamforming is expected to become an important technique in Low Earth
Orbit (LEO) satellite transmission in upcoming 6G communications. To build dense networks …
Orbit (LEO) satellite transmission in upcoming 6G communications. To build dense networks …
Machine Learning Based Beam Selection for Maximizing Wireless Network Capacity
P Geranmayeh, E Grass - IEEE Access, 2024 - ieeexplore.ieee.org
In today's and future wireless communications, especially in 5G and 6G networks, machine
learning (ML) methods are crucial. Potentially, these techniques bring many benefits such as …
learning (ML) methods are crucial. Potentially, these techniques bring many benefits such as …
Deep Learning Based Adaptive Joint mmWave Beam Alignment
The challenging propagation environment, combined with the hardware limitations of
mmWave systems, gives rise to the need for accurate initial access beam alignment …
mmWave systems, gives rise to the need for accurate initial access beam alignment …
Wideband mmWave/THz Beam Alignment: Exploiting Beam Split Effect via Posterior Matching
The massive-antenna millimeter wave (mmWave)/terahertz (THz) system inevitably suffers
from a severe beam split effect, which will significantly decrease array gains and …
from a severe beam split effect, which will significantly decrease array gains and …