Design and Performance Analysis of MEC-Aided LoRa Networks with Power Control
In this paper, we propose a single-cell mobile edge computing (MEC) assisted long-range (LoRa) network with power control, which includes a gateway, […]
Graph Attention-based MADRL for Access Control and Resource Allocation in Wireless Networked Control Systems
Wireless networked control systems (WNCS) offer great potential for revolutionizing the industrial automation by enabling wireless coordination between sensors, decision centers, and […]
Performance Analysis of MAC Protocols for Single-Cell LoRa Network with Power Control
In this letter, a new framework is developed for the analysis of the coverage probability and energy efficiency of the single-cell uplink […]
Unsupervised Learning-Based Joint Power Control and Fronthaul Capacity Allocation in Cell-Free Massive MIMO With Hardware Impairments
A deep learning-based resource allocation algorithm that maximizes the sum rate of a limited fronthaul cell-free massive MIMO network with transceiver hardware […]
Sum Rate and Max-Min Rate for Cellular-Enabled UAV Swarm Networks
This paper investigates the fundamental rate performances in the highly promising cellular-enabled unmanned aerial vehicle (UAV) swarm networks, which can provide ubiquitous […]
CSI-Free Rotary Antenna Beamforming for Massive RF Wireless Energy Transfer
Radio-frequency (RF) wireless energy transfer (WET) is a key technology that may allow seamlessly powering future massive low-energy Internet of Things (IoT) […]
On Sum Rate Maximization Study for Cellular-Connected UAV Swarm Communications
The integration of cellular networks and unmanned aerial vehicle (UAV) swarm communications is expected to be a promising technology to provide ubiquitous […]
Deep Learning-based Power Control for Cell-Free Massive MIMO Networks
A deep learning (DL)-based power control algorithm that solves the max-min user fairness problem in a cell-free massive multiple-input multiple-output (MIMO) system […]
Energy Efficiency Maximization in the Uplink Delta-OMA Networks
Delta-orthogonal multiple access (D-OMA) has been recently investigated as a potential technique to enhance the spectral efficiency in the sixth-generation (6G) networks. […]
Adaptive Subcarrier, Parameter, and Power Allocation for Partitioned Edge Learning Over Broadband Channels
In this paper, we consider partitioned edge learning (PARTEL), which implements parameter-server training, a well known distributed learning method, in a wireless […]