Semantic Communication: A Survey on Research Landscape, Challenges, and Future Directions
Amid the global rollout of fifth-generation (5G) services, researchers in academia, industry, and national laboratories have been developing proposals for the sixth-generation […]
Uplink Rate Splitting Multiple Access with Imperfect Channel State Information and Interference Cancellation
This article investigates the performance of uplink rate splitting multiple access (RSMA) in a two-user scenario, addressing an under-explored domain compared to […]
Investigating Smartphone-Based Sensing Features for Depression Severity Prediction: Observation Study
Background: Unobtrusively collected objective sensor data from everyday devices like smartphones provide a novel paradigm to infer mental health symptoms. This process, […]
Enhancing the risk-oriented participation of wind power plants in day-ahead, balancing, and hydrogen markets with shared multi-energy storage systems
The increasing demand for renewable energy sources (RES) to address environmental concerns and reduce fossil fuel dependency highlights the need for efficient […]
Co-optimization of Demand Response Aggregators and distribution system operator for resilient operation using machine learning based wind generation forecasting: A bilevel approach
The increasing occurrence of extreme weather events has severely compromised the resilience of power distribution systems, resulting in widespread outages and substantial […]
Design and Analysis of an Optically-Fitted DCSK System for VLC Systems
This letter investigates the feasibility of using differential chaos-based modulation in visible light communication (VLC) systems. Taking into account both the complexity […]
Multi-consistency for semi-supervised medical image segmentation via diffusion models
On Optimal MMSE Channel Estimation for One-Bit Quantized MIMO Systems
This paper focuses on the minimum mean squared error (MMSE) channel estimator for multiple-input multiple-output (MIMO) systems with one-bit quantization at the […]
Data-Aided Regularization of Direct-Estimate Combiner in Distributed MIMO Systems
This paper explores the data-aided regularization of the direct-estimate combiner in the uplink of a distributed multiple-input multiple-output system. The network-wide combiner […]
Model-Based Machine Learning for Max-Min Fairness Beamforming Design in JCAS Systems
Joint communications and sensing (JCAS) is expected to be a crucial technology for future wireless systems. This paper investigates beamforming design for […]