activity
20132023
most citedSecret Key Generation for IRS-Assisted Multi-Antenna Systems: A Machine Learning-Based Approach

2 citations · 3 across the 5 of their papers we have counts for

collaborators

6 papers

eess.SP2023★ 2 cited

Secret Key Generation for IRS-Assisted Multi-Antenna Systems: A Machine Learning-Based Approach

Chen Chen, Junqing Zhang, Tianyu Lu +2

Physical-layer key generation (PKG) based on wireless channels is a lightweight technique to establish secure keys between legitimate communication nodes. Recently, intelligent ref…

eess.SP2023

Machine Learning-Based Secret Key Generation for IRS-assisted Multi-antenna Systems

Chen Chen, Junqing Zhang, Tianyu Lu +2

Physical-layer key generation (PKG) based on wireless channels is a lightweight technique to establish secure keys between legitimate communication nodes. Recently, intelligent ref…

cs.IT2018

Reliability of Relay Networks under Random Linear Network Coding

Evgeny Tsimbalo, Magnus Sandell

We consider a single-source, multiple-relay, single-destination lossy network employing Random Linear Network coding at all transmitting nodes. We address the problem of calculatin…

cs.NI2017★ 1 cited

Application Layer Coding for IoT: Benefits, Limitations, and Implementation Aspects

Magnus Sandell, Usman Raza

One of the key technologies for future IoT/M2M systems are low power wide area networks, which are designed to support a massive number of low-end devices often in the unlicensed s…

cs.IT2013

Lowest Density MDS Array Codes for Reliable Smart Meter Networks

Magnus Sandell, Filippo Tosato

In this paper we introduce a lowest density MDS array code which is applied to a Smart Meter network to introduce reliability. By treating the network as distributed storage with m…

cs.IT2013

A Novel Lowest Density MDS Array Code

Magnus Sandell, Filippo Tosato

In this paper we introduce a novel MDS array code with lowest density. In contrast to existing codes, this one has no restrictions on the size or the number of erasures it can corr…