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Found 24 papers, 2 papers with code
RSMA for Dual-Polarized Massive MIMO Networks: A SIC-Free Approach
Aiming at overcoming practical issues of successive interference cancellation (SIC), this paper proposes a dual-polarized rate-splitting multiple access (RSMA) technique for a downlink massive multiple-input multiple-output (MIMO) network.
Optimizing a Digital Twin for Fault Diagnosis in Grid Connected Inverters -- A Bayesian Approach
In this paper, a hyperparameter tuning based Bayesian optimization of digital twins is carried out to diagnose various faults in grid connected inverters.
Indoor Positioning via Gradient Boosting Enhanced with Feature Augmentation using Deep Learning
With the emerge of the Internet of Things (IoT), localization within indoor environments has become inevitable and has attracted a great deal of attention in recent years.
Dual-Polarized Massive MIMO-RSMA Networks: Tackling Imperfect SIC
This paper takes advantage of this additional DoF to alleviate practical issues of successive interference cancellation (SIC) in rate-splitting multiple access (RSMA) schemes.
A Robust and Explainable Data-Driven Anomaly Detection Approach For Power Electronics
Timely and accurate detection of anomalies in power electronics is becoming increasingly critical for maintaining complex production systems.
Boosting 5G on Smart Grid Communication: A Smart RAN Slicing Approach
Fifth-generation (5G) and beyond systems are expected to accelerate the ongoing transformation of power systems towards the smart grid.
MIX-MAB: Reinforcement Learning-based Resource Allocation Algorithm for LoRaWAN
This paper focuses on improving the resource allocation algorithm in terms of packet delivery ratio (PDR), i. e., the number of successfully received packets sent by end devices (EDs) in a long-range wide-area network (LoRaWAN).
Xavier-Enabled Extreme Reservoir Machine for Millimeter-Wave Beamspace Channel Tracking
In this paper, we propose an accurate two-phase millimeter-Wave (mmWave) beamspace channel tracking mechanism.
Rate-Splitting Multiple Access and its Interplay with Intelligent Reflecting Surfaces
Rate-splitting multiple access (RSMA) has recently appeared as a powerful technique for improving the downlink performance of multiple-input multiple-output (MIMO) systems.
Swish-Driven GoogleNet for Intelligent Analog Beam Selection in Terahertz Beamspace MIMO
First inspired by transfer learning, we fine-tune the pre-trained off-the-shelf GoogleNet classifier, to learn analog beam selection as a multi-class mapping problem.
Packetized Energy Management Controller for Residential Consumers
In this paper, we investigate the management of energy storage control and load scheduling in scenarios considering a grid-connected photovoltaic (PV) system using packetized energy management.
IRS-Assisted Massive MIMO-NOMA Networks with Polarization Diversity
In this paper, the appealing features of a dual-polarized intelligent reflecting surface (IRS) are exploited to improve the performance of dual-polarized massive multiple-input multiple-output (MIMO) with non-orthogonal multiple access (NOMA) under imperfect successive interference cancellation (SIC).
Incorporating Wireless Communication Parameters into the E-Model Algorithm
However, the NB, WB, and FB E-model algorithms do not consider wireless techniques used in these networks, such as Multiple-Input-Multiple-Output (MIMO) systems, which are used to improve the communication system robustness in the presence of different types of wireless channel degradation.
Virtual Microgrid Management via Software-defined Energy Network for Electricity Sharing
Digitalization has led to radical changes in the distribution of goods across various sectors.
IRS-Assisted Massive MIMO-NOMA Networks: Exploiting Wave Polarization
By considering the downlink of a multi-cluster scenario, the IRSs assist the base station (BS) to multiplex subsets of users in the polarization domain.
Containing Future Epidemics with Trustworthy Federated Systems for Ubiquitous Warning and Response
In this sense, we expect active participation of empowered citizens to supplement the more usual top-down management of epidemics.
Distributed, Parallel, and Cluster Computing
What Role Do Intelligent Reflecting Surfaces Play in Multi-Antenna Non-Orthogonal Multiple Access?
Massive multiple-input multiple-output (MIMO) and non-orthogonal multiple access (NOMA) are two key techniques for enabling massive connectivity in future wireless networks.
Review of the State-of-the-Art on Adaptive Protection for Microgrids based on Communications
The dominance of distributed energy resources in microgrids and the associated weather dependency require flexible protection.
Review of the State-of-the-art on Bio-signal-based Brain-controlled Vehicles
Brain-controlled vehicle (BCV) is an already established technology usually designed for disabled patients.
Reconfigurable Intelligent Surface-Aided Grant-Free Access for Uplink URLLC
Reconfigurable intelligent surfaces (RISs) have been recently considered as one of the emerging technologies for future communication systems by leveraging the tuning capabilities of their reflecting elements.
Neurosciences and 6G: Lessons from and Needs of Communicative Brains
In particular, we propose a novel systematization that divides the contributions into two groups, one focused on what neurosciences will offer to 6G in terms of new applications and systems architecture (Neurosciences for Wireless), and the other focused on how wireless communication theory and 6G systems can provide new ways to study the brain (Wireless for Neurosciences).
Signal Processing Emerging Technologies Information Theory Information Theory Neurons and Cognition
An Information-Theoretic Approach to Personalized Explainable Machine Learning
Recommender systems decide which jobs, movies, or other user profiles might be interesting to us.
Agent-based Model for Spot and Balancing Electricity Markets
We present a simple, yet realistic, agent-based model of an electricity market.
Multiagent Systems General Finance
Storage Management in Modern Electricity Power Grids
This letter introduces a method to manage energy storage in electricity grids.
Systems and Control
