Performance Analysis of Distortion-Acceptable Cooperative Communications in Wireless Sensor Networks for Internet of Things
This paper analyzes the performance limit of cooperative communications in wireless sensor networks (WSNs), with the aim of utilizing the analytical results […]
An 80 x 25 pixel CMOS single-photon sensor with flexible on-chip time gating of 40 subarrays for solid-state 3-D range imaging
A CMOS solid-state 3-D range imager that uses short (~110 ps) laser pulses and a novel flexible time gating scheme for a […]
Reliable Positioning and mmWave Communication via Multi-Point Connectivity
One of the key elements of future 5G and beyond mobile technology is millimeter-wave (mmWave) communications, which is targeted to extreme high-data […]
Securing Gadget-Free Digital Services
The world faces a digital transition in which nearby environments are intelligent enough to provide user-intended services without requiring any handheld gadgets. […]
Robust Kronecker Component Analysis
Dictionary learning and component analysis models are fundamental for learning compact representations that are relevant to a given task (feature extraction, dimensionality […]
Hybrid, Multi-Source, and Integrated Energy Harvesters
Energy harvesting is one of the most rapidly growing of the emerging technologies. This field has arrived at the hybrid and multi-source […]
Blockchain Utilization in Healthcare
Blockchain is so far well-known for its potential applications in financial and banking sectors. However, blockchain as a decentralized and distributed technology […]
User Preference Learning-Based Edge Caching for Fog Radio Access Network
Abnstract In this paper, the edge caching problem in fog radio access network (F-RAN) is investigated. By maximizing the overall cache hit […]
Online algorithm for leasing wireless channels in a three-tier spectrum sharing framework
The three-tier spectrum sharing framework (3-TSF) is a spectrum sharing model adopted by the Federal Communications Commission. According to this model, under-utilized […]
On detecting online radicalization using natural language processing
This paper suggests a new approach for radicalization detection using natural language processing techniques. Although, intuitively speaking, detection of radicalization from only […]