User association in millimeter wave cellular networks with intelligent reflecting surfaces
In this paper, we introduce a new load balancing user association scheme for millimeter wave (mmWave) cellular networks in which intelligent reflecting […]
Energy Detection for M-QAM Signals
In this paper, we address energy detection for M-ary quadrature amplitude modulation (QAM) signals. In the literature deterministic signal model is widely […]
Permutation Channel Modulation
In this paper, we propose a novel index modulation mechanism called permutation channel modulation (PCM) by exploiting spatial resource of multiple input […]
Improving Analog Zero-Forcing Null Depth with N-bit Vector Modulators in Multi-beam Phased Array Systems
Multiantenna systems can increase the spatial reuse of the wireless spectrum by nulling the interfering directions. However, the efficiency of the spatial […]
Hybrid Bayesian-based Indoor Localization Mechanisms for Distributed Antenna Systems
This work proposes and evaluates a hybrid Bayesian-based localization method to estimate the position of a target node using received signal strength […]
Passive RIS vs. Hybrid RIS
The reconfigurable intelligent surface (RIS) plays an important role in maintaining the connectivity in millimeter wave (mmWave) MIMO systems when the direct […]
Searching Multi-Rate and Multi-Modal Temporal Enhanced Networks for Gesture Recognition
Gesture recognition has attracted considerable attention owing to its great potential in applications. Although the great progress has been made recently in […]
Defect Agglomeration and Electron-Beam-Induced Local-Phase Transformations in Single-Layer MoTe2
Atom migrations in single-layer 1H-MoTe2 are studied with Cc/Cs-corrected high-resolution transmission electron microscopy at an electron energy of 40 keV using the […]
Joint Client Scheduling and Resource Allocation Under Channel Uncertainty in Federated Learning
The performance of federated learning (FL) over wireless networks depend on the reliability of the client-server connectivity and clients’ local computation capabilities. […]
Feature-Based Deep Neural Networks for Short-Term Prediction of WiFi Channel Occupancy Rate
Spectrum occupancy prediction is a key enabling technology to facilitate a proactive resource allocation for dynamic spectrum management systems. This work focuses […]