16 citations · 46 across the 5 of their papers we have counts for
6 papers
Joint User and Data Detection in Grant-Free NOMA with Attention-based BiLSTM Network
Saud Khan, Salman Durrani, Muhammad Basit Shahab +2
We consider the multi-user detection (MUD) problem in uplink grant-free non-orthogonal multiple access (NOMA), where the access point has to identify the total number and correct i…
Rate-Convergence Tradeoff of Federated Learning over Wireless Channel
Ayoob Salari, Mahyar Shirvanimoghaddam, Branka Vucetic +1
In this paper, we consider a federated learning problem over wireless channel that takes into account the coding rate and packet transmission errors. Communication channels are mod…
NOMA Joint Channel Estimation and Signal Detection using Rotational Invariant Codes and GMM-based Clustering
Ayoob Salari, Mahyar Shirvanimoghaddam, Muhammad Basit Shahab +2
This paper studies the joint channel estimation and signal detection for the uplink power-domain non-orthogonal multiple access. The proposed technique performs both detection and…
Design and Analysis of Clustering-based Joint Channel Estimation and Signal Detection for NOMA
Ayoob Salari, Mahyar Shirvanimoghaddam, Muhammad Basit Shahab +2
We propose a joint channel estimation and signal detection approach for the uplink non-orthogonal multiple access (NOMA) using unsupervised machine learning. We apply a Gaussian mi…
Short Block-length Codes for Ultra-Reliable Low-Latency Communications
Mahyar Shirvanimoghaddam, Mohamad Sadegh Mohamadi, Rana Abbas +8
This paper reviews the state of the art channel coding techniques for ultra-reliable low latency communication (URLLC). The stringent requirements of URLLC services, such as ultra-…
Design of Raptor Codes in the Low SNR Regime with Applications in Quantum Key Distribution
Mahyar Shirvanimoghaddam, Sarah J. Johnson, Andrew M. Lance
The focus of this work is on the design of Raptor codes for continuous variable Quantum key distribution (CV-QKD) systems. We design a highly efficient Raptor code for very low sig…