activity
20142025
most citedMassive Machine-type Communications in 5G: Physical and MAC-layer solutions

784 citations · 1.8k across the 14 of their papers we have counts for

collaborators

15 papers

cs.NI2025

Deep Reinforcement Learning-based Cell DTX/DRX Configuration for Network Energy Saving

Wei Mao, Lili Wei, Omid Semiari +2

3GPP Release 18 cell discontinuous transmission and reception (cell DTX/DRX) is an important new network energy saving feature for 5G. As a time-domain technique, it periodically a…

cs.AI2025

Graph Reinforcement Learning for QoS-Aware Load Balancing in Open Radio Access Networks

Omid Semiari, Hosein Nikopour, Shilpa Talwar

Next-generation wireless cellular networks are expected to provide unparalleled Quality-of-Service (QoS) for emerging wireless applications, necessitating strict performance guaran…

cs.CR2024

Enhancing O-RAN Security: Evasion Attacks and Robust Defenses for Graph Reinforcement Learning-based Connection Management

Ravikumar Balakrishnan, Marius Arvinte, Nageen Himayat +2

Adversarial machine learning, focused on studying various attacks and defenses on machine learning (ML) models, is rapidly gaining importance as ML is increasingly being adopted fo…

cs.IT2024

Achieving Low Latency at Low Outage: Multilevel Coding for mmWave Channels

Mine Gokce Dogan, Jaimin Shah, Martina Cardone +4

Millimeter-wave (mmWave) spectrum is expected to support data-intensive applications that require ultra-reliable low-latency communications (URLLC). However, mmWave links are highl…

cs.LG2024

Reliability-Optimized User Admission Control for URLLC Traffic: A Neural Contextual Bandit Approach

Omid Semiari, Hosein Nikopour, Shilpa Talwar

Ultra-reliable low-latency communication (URLLC) is the cornerstone for a broad range of emerging services in next-generation wireless networks. URLLC fundamentally relies on the n…

cs.NI2022

Integrated Access and Backhaul in Millimeter-Wave Cellular: Benefits and Challenges

Yekaterina Sadovaya, Dmitri Moltchanov, Wei Mao +5

The recently proposed NR-ready integrated access and backhaul (IAB) architecture promises to bring a cost-efficient deployment solution for both coverage extension and capacity boo…

cs.IT2021

Connection Management xAPP for O-RAN RIC: A Graph Neural Network and Reinforcement Learning Approach

Oner Orhan, Vasuki Narasimha Swamy, Thomas Tetzlaff +3

Connection management is an important problem for any wireless network to ensure smooth and well-balanced operation throughout. Traditional methods for connection management (speci…

cs.IT2021

6G: Connectivity in the Era of Distributed Intelligence

Shilpa Talwar, Nageen Himayat, Hosein Nikopour +3

The confluence of 5G and AI is transforming wireless networks to deliver diverse services at the Edge, driving towards a vision of pervasive distributed intelligence. Future 6G net…

cs.LG2020★ 187 cited

Resource Management in Wireless Networks via Multi-Agent Deep Reinforcement Learning

Navid Naderializadeh, Jaroslaw Sydir, Meryem Simsek +1

We propose a mechanism for distributed resource management and interference mitigation in wireless networks using multi-agent deep reinforcement learning (RL). We equip each transm…

cs.LG2019★ 4 cited

When Multiple Agents Learn to Schedule: A Distributed Radio Resource Management Framework

Navid Naderializadeh, Jaroslaw Sydir, Meryem Simsek +2

Interference among concurrent transmissions in a wireless network is a key factor limiting the system performance. One way to alleviate this problem is to manage the radio resource…

cs.IT2016★ 784 cited

Massive Machine-type Communications in 5G: Physical and MAC-layer solutions

Carsten Bockelmann, Nuno Pratas, Hosein Nikopour +5

Machine-type communications (MTC) are expected to play an essential role within future 5G systems. In the FP7 project METIS, MTC has been further classified into "massive Machine-T…

cs.IT2015

SCMA for Open-Loop Joint Transmission CoMP

Usa Vilaipornsawai, Hosein Nikopour, Alireza Bayesteh +1

Sparse Code Multiple Access (SCMA), a non-orthogonal multiple access scheme, has been introduced as a key 5G technology to improve spectral efficiency. In this work, we propose SCM…

cs.IT2014★ 652 cited

SCMA Codebook Design

Mahmoud Taherzadeh, Hosein Nikopour, Alireza Bayesteh +1

Multicarrier CDMA is a multiple access scheme in which modulated QAM symbols are spread over OFDMA tones by using a generally complex spreading sequence. Effectively, a QAM symbol…

cs.IT2014★ 17 cited

Uplink Contention Based SCMA for 5G Radio Access

Kelvin Au, Liqing Zhang, Hosein Nikopour +5

Fifth generation (5G) wireless networks are expected to support very diverse applications and terminals. Massive connectivity with a large number of devices is an important require…

cs.IT2014★ 186 cited

SCMA for Downlink Multiple Access of 5G Wireless Networks

Hosein Nikopour, Eric Yi, Alireza Bayesteh +4

Sparse code multiple access (SCMA) is a new frequency domain non-orthogonal multiple-access technique which can improve spectral efficiency of wireless radio access. With SCMA, dif…