7 papers
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…
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…
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…
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…
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…
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…