37 citations · 122 across the 8 of their papers we have counts for
6 papers · 1 filter
Dual-Polarized Massive MIMO-RSMA Networks: Tackling Imperfect SIC
Arthur Sousa de Sena, Pedro H. J. Nardelli, Daniel Benevides da Costa +3
The polarization domain provides an extra degree of freedom (DoF) for improving the performance of multiple-input multiple-output (MIMO) systems. This paper takes advantage of this…
Rate-Splitting Multiple Access and its Interplay with Intelligent Reflecting Surfaces
Arthur S. de Sena, Pedro H. J. Nardelli, Daniel B. da Costa +2
Rate-splitting multiple access (RSMA) has recently appeared as a powerful technique for improving the downlink performance of multiple-input multiple-output (MIMO) systems. By flex…
IRS-Assisted Massive MIMO-NOMA Networks with Polarization Diversity
Arthur S. de Sena, Pedro H. J. Nardelli, Daniel B. da Costa +5
In this paper, the appealing features of a dual-polarized intelligent reflecting surface (IRS) are exploited to improve the performance of dual-polarized massive multiple-input mul…
Reconfigurable Intelligent Surface-assisted Multi-UAV Networks: Efficient Resource Allocation with Deep Reinforcement Learning
Khoi Khac Nguyen, Saeed Khosravirad, Daniel Benevides da Costa +2
In this paper, we propose reconfigurable intelligent surface (RIS)-assisted unmanned aerial vehicles (UAVs) networks that can utilise both advantages of UAV's agility and RIS's ref…
IRS-Assisted Massive MIMO-NOMA Networks: Exploiting Wave Polarization
Arthur S. de Sena, Pedro H. J. Nardelli, Daniel B. da Costa +5
A dual-polarized intelligent reflecting surface (IRS) can contribute to a better multiplexing of interfering wireless users. In this paper, we use this feature to improve the perfo…
On the Sum of Fisher-Snedecor F Variates and its Application to Maximal-Ratio Combining
Osamah. S. Badarneh, Daniel B. da Costa, Paschalis C. Sofotasios +2
Capitalizing on the recently proposed Fisher-Snedecor F composite fading model, in this letter, we investigate the sum of independent but not identically distributed (i.n.i.d.) Fis…