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Building Flexible, Low-Cost Wireless Access Networks With Magma
Billions of people remain without Internet access due to availability or affordability of service.
Networking and Internet Architecture
QoS Provision for Controlling Energy Consumption in Ad-Hoc Wireless Sensor Networks
The primary goals of the research are to discover the best techniques to 1) minimize the total consumed energy in the ad-hoc wireless sensor network, and 2) maximize the ad-hoc wireless sensor network lifetime.
Deep Reinforcement Learning for Online Offloading in Wireless Powered Mobile-Edge Computing Networks
To tackle this problem, we propose in this paper a Deep Reinforcement learning-based Online Offloading (DROO) framework that implements a deep neural network to generate offloading decisions.
Networking and Internet Architecture
Integrated Sensing and Communications: Towards Dual-functional Wireless Networks for 6G and Beyond
As the standardization of 5G is being solidified, researchers are speculating what 6G will be.
QoS Provision for Controlling Energy Consumption in Ad-hoc Wireless Sensor Networks
Adhoc wireless sensor network is an architecture of connected nodes, each node has its main elements such as sensors, computation and communications capabilities.
Networking and Internet Architecture
Learning to Optimize: Training Deep Neural Networks for Wireless Resource Management
We show that using a DNN to approximate WMMSE can be fairly accurate -- the approximation error $\epsilon$ depends mildly [in the order of $\log(1/\epsilon)$] on the numbers of neurons and layers of the DNN.
Information Theory Signal Processing Information Theory
Komondor: a Wireless Network Simulator for Next-Generation High-Density WLANs
This allows outperforming the execution time of other simulators like ns-3, thus supporting large-scale scenarios with a huge number of nodes.
Networking and Internet Architecture
Weighted Sum-Rate Optimization for Intelligent Reflecting Surface Enhanced Wireless Networks
In addition, we consider a practical IRS assumption, in which the passive elements can only shift the incident signal to discrete phase levels.
Weighted Sum-Rate Maximization for Reconfigurable Intelligent Surface Aided Wireless Networks
Our objective is to maximize the weighted sum-rate (WSR) of all users by joint designing the beamforming at the access point (AP) and the phase vector of the RIS elements, while both the perfect channel state information (CSI) setup and the imperfect CSI setup are investigated.
Signal Processing
Passive Diagnosis for Wireless Sensor Networks
To maximize the network s life, the proposed method, Centralized Naïve Bayes Detector (CNBD) analyzes the end-to-end transmission time collected at the sink.
