activity
20132026
most citedMassive Non-Orthogonal Multiple Access for Cellular IoT: Potentials and Limitations

395 citations · 967 across the 42 of their papers we have counts for

collaborators

50 papers

eess.SY2026

AoI-Driven Hierarchical Learning for Cooperative Resource Sharing in Multi-Operator UAV Networks

Atefeh Hajijamali Arani, Mahyar Shirvanimoghaddam, Abolfazl Mehbodniya +2

Uncrewed aerial vehicle (UAV)-assisted networks provide a versatile paradigm for on-demand connectivity. However, in multi-operator aerial networks (MOANs), the joint optimization…

cs.IT2022

Ordered-Statistics Decoding with Adaptive Gaussian Elimination Reduction for Short Codes

Chentao Yue, Mahyar Shirvanimoghaddam, Branka Vucetic +1

In this paper, we propose an efficient ordered-statistics decoding (OSD) algorithm with an adaptive Gaussian elimination (GE) reduction technique. The proposed decoder utilizes two…

cs.IT2022

Efficient Decoders for Short Block Length Codes in 6G URLLC

Chentao Yue, Vera Miloslavskaya, Mahyar Shirvanimoghaddam +2

This paper reviews the potential channel decoding techniques for ultra-reliable low-latency communications (URLLC). URLLC is renowned for its stringent requirements including ultra…

cs.IT2022

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…

eess.SP2022★ 16 cited

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…

cs.LG2022

Federated Learning with Erroneous Communication Links

Mahyar Shirvanimoghaddam, Ayoob Salari, Yifeng Gao +1

In this paper, we consider the federated learning (FL) problem in the presence of communication errors. We model the link between the devices and the central node (CN) by a packet…