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20162025
most citedExtreme URLLC: Vision, Challenges, and Key Enablers

104 citations · 305 across the 23 of their papers we have counts for

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Showing cs.ITShow all

7 papers · 1 filter

cs.IT2020★ 104 cited

Extreme URLLC: Vision, Challenges, and Key Enablers

Jihong Park, Sumudu Samarakoon, Hamid Shiri +4

Notwithstanding the significant traction gained by ultra-reliable and low-latency communication (URLLC) in both academia and 3GPP standardization, fundamentals of URLLC remain elus…

cs.IT2019★ 29 cited

Distilling On-Device Intelligence at the Network Edge

Jihong Park, Shiqiang Wang, Anis Elgabli +6

Devices at the edge of wireless networks are the last mile data sources for machine learning (ML). As opposed to traditional ready-made public datasets, these user-generated privat…

cs.IT2019

A Proximal Jacobian ADMM Approach for Fast Massive MIMO Signal Detection in Low-Latency Communications

Anis Elgabli, Ali Elghariani, Vaneet Aggarwal +2

One of the 5G promises is to provide Ultra Reliable Low Latency Communications (URLLC) which targets an end to end communication latency that is less than 1ms . The very low latenc…

cs.IT2018★ 1 cited

A Low Complexity Detection Algorithm Based on Alternating Minimization

Anis Elgabli, Ali Elghariani, Vaneet Aggarwal +1

In this paper, we propose an algorithm based on the Alternating Minimization technique to solve the uplink massive MIMO detection problem. The proposed algorithm provides a lower c…

cs.IT2018

QoE-Aware Resource Allocation for Small Cells

Anis Elgabli, Ali Elghariani, Vaneet Aggarwal +1

In this paper, we study the problem of Quality of Experience (QoE) aware resource allocation in wireless systems. In particular, we consider application-aware joint Bandwidth-Power…

cs.IT2018

Two-Stage LASSO ADMM Signal Detection Algorithm For Large Scale MIMO

Anis Elgabli, Ali Elghariani, Abubakr O. Al-Abbasi +1

This paper explores the benefit of using some of the machine learning techniques and Big data optimization tools in approximating maximum likelihood (ML) detection of Large Scale M…

cs.IT2016★ 7 cited

Joint Energy-Bandwidth Allocation for Multi-User Channels with Cooperating Hybrid Energy Nodes

Vaneet Aggarwal, Mark R. Bell, Anis Elgabli +2

In this paper, we consider the energy-bandwidth allocation for a network of multiple users, where the transmitters each powered by both an energy harvester and conventional grid, a…