31 citations · 49 across the 13 of their papers we have counts for
8 papers · 1 filter
Deep Learning-based List Sphere Decoding for Faster-than-Nyquist (FTN) Signaling Detection
Sina Abbasi, Ebrahim Bedeer
Faster-than-Nyquist (FTN) signaling is a candidate non-orthonormal transmission technique to improve the spectral efficiency (SE) of future communication systems. However, such imp…
Coded Faster-than-Nyquist Signaling for Short Packet Communications
Emre Cerci, Adem Cicek, Enver Cavus +2
Ultra-reliable low-latency communication (URLLC) requires short packets of data transmission. It is known that when the packet length becomes short, the achievable rate is subject…
IRS-Empowered Wireless Communications: State-of-the-Art, Key Techniques, and Open Issues
Ming Zeng, Ebrahim Bedeer, Xingwang Li +4
In this article, we overview intelligent reflecting surface (IRS)-empowered wireless communication systems. We first present the fundamentals of IRS-assisted wireless transmission.…
Energy-Efficient Resource Allocation for IRS-Assisted Multi-Antenna Uplink Systems
M Zeng, E. B. Mohamed, O. A. Dobre +2
In this paper, we study the resource allocation for an intelligent reflecting surface (IRS)-assisted uplink system, where the base station is equipped with multiple antennas. We pr…
Low-Complexity Detection of M-ary PSK Faster-than-Nyquist Signaling
Ebrahim Bedeer, Halim Yanikomeroglu, Mohamed Hossam Ahmed
Faster-than-Nyquist (FTN) signaling is a promising non-orthogonal physical layer transmission technique to improve the spectral efficiency of future communication systems but at th…
Enabling Sphere Decoding for SCMA
Monirosharieh Vameghestahbanati, Ebrahim Bedeer, Ian Marsland +2
In this paper, we propose a reduced-complexity optimal modified sphere decoding (MSD) detection scheme for SCMA. As SCMA systems are characterized by a number of resource elements…