398 citations · 1.2k across the 73 of their papers we have counts for
19 papers · 1 filter
A Reinforcement Learning Approach for an IRS-assisted NOMA Network
Ximing Xie, Shiyu Jiao, Zhiguo Ding
This letter investigates a sum rate maximizationproblem in an intelligent reflective surface (IRS) assisted non-orthogonal multiple access (NOMA) downlink network. Specif-ically, t…
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…
Secrecy Rate Maximization for Hardware Impaired Untrusted Relaying Network with Deep Learning
Hamed Bastami, Majid Moradikia, Hamid Behroozi +3
This paper investigates the physical layer security design of an untrusted relaying network where the source node coexists with a multi-antenna eavesdropper (Eve). While the commun…
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…
What Role Do Intelligent Reflecting Surfaces Play in Multi-Antenna Non-Orthogonal Multiple Access?
Arthur S. de Sena, Dick Carrillo, Fang Fang +6
Massive multiple-input multiple-output (MIMO) and non-orthogonal multiple access (NOMA) are two key techniques for enabling massive connectivity in future wireless networks. A mass…
Energy-Efficient Resource Allocation for NOMA enabled MEC Networks with Imperfect CSI
Fang Fang, Kaidi Wang, Zhiguo Ding +1
The combination of non-orthogonal multiple access (NOMA) and mobile edge computing (MEC) can significantly improve the spectrum efficiency beyond the fifth-generation network. In t…