no code implementations • 12 Feb 2024 • Arman Farhang, Mohsen Bayat
Through mathematical and numerical analysis, it is confirmed that SC-FDMA is in fact a delay-Doppler domain multiplexing technique that can achieve the same performance gains as those of OTFS in time-varying wireless environments.
no code implementations • 21 Nov 2023 • Mohsen Bayat, Arman Farhang
Delay-Doppler multiplexing has recently stirred a great deal of attention in research community.
no code implementations • 17 Nov 2023 • Hamed Hosseiny, Arman Farhang, Behrouz Farhang-Boroujeny
In practical scenarios, a perfect channel reciprocity may not hold due to radio chain mismatches in the uplink and downlink.
no code implementations • 12 Nov 2023 • Mohsen Bayat, Arman Farhang
The primary objective of this paper is to establish a generalized framework for pulse-shaping on the delay-Doppler plane.
no code implementations • 24 May 2023 • Sanoopkumar P. S., Stephen McWade, Arman Farhang
To evaluate the performance of our proposed truncated turbo equalizer with SIC (TTE-SIC), we set the minimum mean squared error (MMSE) equalizer without channel truncation as a benchmark.
no code implementations • 26 Apr 2023 • Stephen McWade, Arman Farhang, Mark F. Flanagan
Motivated by this, in this paper we propose a low-complexity method for equalization and detection for OTFS-NOMA.
no code implementations • 25 Jan 2023 • Arman Azizi, Arman Farhang
In this paper, we propose a novel network architecture for integrating terrestrial and non-terrestrial networks (NTNs) to establish connection between terrestrial ground stations which are unconnected due to blockage.
no code implementations • 24 Jan 2023 • Mohsen Bayat, Sanoopkumar P. S., Arman Farhang
Hence, in this paper, we propose a timing offset (TO) and carrier frequency offset (CFO) estimation for OTFS over a linear time-varying (LTV) channel, using a low PAPR pilot structure.
no code implementations • 14 Nov 2022 • Stephen McWade, Mark F. Flanagan, Arman Farhang
Our proposed method uses an iterative process where in each iteration, an equalizer based on the least-squares with QR factorization (LSQR) algorithm is followed by a novel reliability zone (RZ) detection scheme which estimates the reliable symbols of the users and then uses interference cancellation to remove MUI.
no code implementations • 26 Jan 2022 • Hamed Hosseiny, Arman Farhang, Behrouz Farhang-Boroujeny
We theoretically analyze the performance of the proposed precoder in the presence of imperfect CSI and channel reciprocity calibration errors.
no code implementations • 21 Jan 2022 • Sumin Jeong, Arman Farhang, Nemanja Stefan Perović, Mark F. Flanagan
This becomes more critical in RIS-aided communications, as even a small channel estimation error leads to a significant performance loss.
no code implementations • 23 Mar 2021 • Hamed Hosseiny, Arman Farhang, Behrouz Farhang-Boroujeny
In this paper, we design receivers for filter bank multicarrier-based (FBMC-based) massive MIMO considering practical aspects such as channel estimation and equalization.
no code implementations • 1 Feb 2021 • Stephen McWade, Mark F. Flanagan, Juquan Mao, Lei Zhang, Arman Farhang
Non-orthogonal multiple access (NOMA) techniques can potentially be used to accommodate users with different numerologies while also gaining the performance benefits associated with NOMA.
no code implementations • 27 Jan 2021 • Sumin Jeong, Arman Farhang, Nemanja Stefan Perović, Mark Flanagan
Accurate channel estimation is essential for achieving the performance gains offered by reconfigurable intelligent surface (RIS)-aided wireless communications.
no code implementations • 23 Nov 2020 • Amir Miraki, Hamid Saeedi-Sourck, Nicola Marchetti, Arman Farhang
In this paper, we present a structure for two-channel spline graph filter bank with spectral sampling (SGFBSS) on arbitrary undirected graphs.
no code implementations • 4 Sep 2020 • Harun Šiljak, Nouman Ashraf, Michael Taynnan Barros, Daniel Perez Martins, Bernard Butler, Arman Farhang, Nicola Marchetti, Sasitharan Balasubramaniam
While metasurface based intelligent reflecting surfaces (IRS) are an important emerging technology for future generations of wireless connectivity in its own right, the plans for the mass deployment of these surfaces motivate the question of their integration with other new and emerging technologies that would require mass proliferation.