activity
20182023
most citedSecure Outage Analysis of FSO Communications Over Arbitrarily Correlated Málaga Turbulence Channels

36 citations · 51 across the 12 of their papers we have counts for

collaborators

12 papers

eess.SP2023

Hierarchical Reinforcement Learning for RIS-Assisted Energy-Efficient RAN

Hao Zhou, Long Kong, Medhat Elsayed +4

Reconfigurable intelligent surface (RIS) is emerging as a promising technology to boost the energy efficiency (EE) of 5G beyond and 6G networks. Inspired by this potential, in this…

cs.IT2022

On the Impacts of Phase Shifting Design and Eavesdropping Uncertainty on Secrecy Metrics of RIS-aided Systems

Long Kong, Steven Kisseleff, Symeon Chatzinotas +2

This paper investigates the secrecy outage probability (SOP), the lower bound of SOP, and the probability of non-zero secrecy capacity (PNZ) of reconfigurable intelligent surface (…

cs.IT2021

Effective Rate of RIS-aided Networks with Location and Phase Estimation Uncertainty

Long Kong, Steven Kisseleff, Symeon Chatzinotas +2

Reconfigurable Intelligent Surfaces (RIS) are planar structures connected to electronic circuitry, which can be employed to steer the electromagnetic signals in a controlled manner…

cs.IT2021★ 36 cited

Secure Outage Analysis of FSO Communications Over Arbitrarily Correlated Málaga Turbulence Channels

Yun Ai, Aashish Mathur, Long Kong +1

In this paper, we analyze the secrecy outage performance for more realistic eavesdropping scenario of free-space optical (FSO) communications, where the main and wiretap links are…

eess.SP2020★ 8 cited

Secure Vehicular Communications through Reconfigurable Intelligent Surfaces

Yun Ai, Felipe A. P. de Figueiredo, Long Kong +3

Reconfigurable intelligent surfaces (RIS) is considered as a revolutionary technique to improve the wireless system performance by reconfiguring the radio wave propagation environm…

cs.IT2020

On Performance Characterization of Cascaded Multiwire-PLC/MIMO-RF Communication System

Yun Ai, Long Kong, Michael Cheffena +2

The flexibility of radio frequency (RF) systems and the omnipresence of power cables potentially make the cascaded power line communication (PLC)/RF system an efficient and cost-ef…

cs.IT2020★ 1 cited

On Hybrid-ARQ-Based Intelligent Reflecting Surface-Assisted Communication System

Y. Ai, M. Mohamed, L. Kong +2

The intelligent reflecting surface (IRS) is an emerging technique to extend the wireless coverage. In this letter, the performance of hybrid automatic repeat request (hybrid-ARQ) f…

cs.IT2020

An Overview of Generic Tools for Information-Theoretic Secrecy Performance Analysis over Wiretap Fading Channels

Long Kong, Yun Ai, Lei Lei +3

An alternative or supplementary approach named as physical layer security has been proposed to afford an extra security layer on top of the conventional cryptography technique. In…

eess.SP2020

Decision Triggered Data Transmission and Collection in Industrial Internet of Things

Jiguang He, Long Kong, Tero Frondelius +2

We propose a decision triggered data transmission and collection (DTDTC) protocol for condition monitoring and anomaly detection in the industrial Internet of things (IIoT). In the…

eess.SP2019★ 5 cited

Large Intelligent Surface for Positioning in Millimeter Wave MIMO Systems

Jiguang He, Henk Wymeersch, Long Kong +2

Millimeter-wave (mmWave) multiple-input multiple-output (MIMO) system for the fifth generation (5G) cellular communications can also enable single-anchor positioning and object tra…

cs.IT2018★ 1 cited

Secrecy Analysis of Random MIMO Wireless Networks over - Fading Channels

Long Kong, Satyanarayana Vuppala, Georges Kaddoum

In this paper, we investigate the secrecy performance of stochastic MIMO wireless networks over small-scale - fading channels, where both the legitimate receivers and eavesdr…

cs.DC2018

MaRe: a MapReduce-Oriented Framework for Processing Big Data with Application Containers

Marco Capuccini, Martin Dahlö, Salman Toor +1

Background. Life science is increasingly driven by Big Data analytics, and the MapReduce programming model has been proven successful for data-intensive analyses. However, current…