activity
20152018
most citedOn Optimal Scheduling for Joint Spatial Division and Multiplexing Approach in FDD Massive MIMO

18 citations · 22 across the 8 of their papers we have counts for

collaborators

10 papers

cs.IT2018★ 2 cited

A Spatial Basis Coverage Approach For Uplink Training And Scheduling In Massive MIMO Systems

Salah Eddine Hajri, Mohamad Assaad

Massive multiple-input multiple-output (massive MIMO) can provide large spectral and energy efficiency gains. Nevertheless, its potential is conditioned on acquiring accurate chann…

cs.IT2018

Heterogeneous Doppler Spread-based CSI Estimation Planning for TDD Massive MIMO

Salah Eddine Hajri, Maialen Larrañaga, Mohamad Assaad

Massive multi-input multi-output (Massive MIMO) has been recognized as a key technology to meet the demand for higher data capacity and massive connectivity. Nevertheless, the numb…

cs.IT2018

Enhancing Favorable Propagation in Cell-Free Massive MIMO Through Spatial User Grouping

Salah Eddine Hajri, Juwendo Denis, Mohamad Assaad

Cell-Free (CF) Massive multiple-input multiple-output(MIMO) is a distributed antenna system, wherein a large number of back-haul linked access points randomly distributed over a co…

cs.IT2018★ 18 cited

On Optimal Scheduling for Joint Spatial Division and Multiplexing Approach in FDD Massive MIMO

Ali Maatouk, Salah Eddine Hajri, Mohamad Assaad +1

Massive MIMO is widely considered as a key enabler of the next generation 5G networks. With a large number of antennas at the Base Station, both spectral and energy efficiencies ca…

cs.IT2017

Graph Theory Based Approach to Users Grouping and Downlink Scheduling in FDD Massive MIMO

Ali Maatouk, Salah Eddine Hajri, Mohamad Assaad +2

Massive MIMO is considered as one of the key enablers of the next generation 5G networks.With a high number of antennas at the BS, both spectral and energy efficiencies can be impr…

cs.IT2017

Enhancing massive MIMO: A new approach for Uplink training based on heterogeneous coherence time

Salah Eddine Hajri, Mohamad Assaad, Maialen Larrañaga

Massive multiple-input multiple-output (MIMO) is one of the key technologies in future generation networks. Owing to their considerable spectral and energy efficiency gains, massiv…

cs.NI2017

Power Control in Massive MIMO with Dynamic User Population

Mohamad Assaad, Salah Eddine Hajri, Thomas Bonald +1

This paper considers the problem of power control in Massive MIMO systems taking into account the pilot contamination issue and the arrivals and departures of users in the network.…

cs.IT2017

Energy Efficiency in Cache Enabled Small Cell Networks With Adaptive User Clustering

Salah Eddine Hajri, Mohamad Assaad

Using a network of cache enabled small cells, traffic during peak hours can be reduced considerably through proactively fetching the content that is most probable to be requested.…

cs.NI2016★ 2 cited

Caching Improvement Using Adaptive User Clustering

Salah Eddine Hajri, Mohamad Assaad

In this article we explore one of the most promising technologies for 5G wireless networks using an underlay small cell network, namely proactive caching. Using the increase in sto…

cs.IT2015

An Exclusion zone for Massive MIMO With Underlay D2D Communication

Salah Eddine Hajri, Mohamad Assaad

Fifth generation networks will incorporate a variety of new features in wireless networks such as data offloading, D2D communication, and Massive MIMO. Massive MIMO is specially ap…