activity
20142026
most citedEnergy efficiency of slotted LoRaWAN communication with out-of-band synchronization

45 citations · 132 across the 25 of their papers we have counts for

collaborators

27 papers

cs.IT2026

Sleep or Transmit: Dual-Mode Energy-Efficient Design for NOMA-Enabled Backscatter Networks

Hajar El Hassani, Mikael Gidlund

The rapid growth of Internet-of-Things (IoT) devices demands communication systems that are both spectrally efficient and energy frugal. Backscatter communication (BackCom) is an a…

cs.NI2023

A Deep Reinforcement Learning Approach for Improving Age of Information in Mission-Critical IoT

Hossam Farag, Mikael Gidlund, Cedomir Stefanovic

The emerging mission-critical Internet of Things (IoT) play a vital role in remote healthcare, haptic interaction, and industrial automation, where timely delivery of status update…

cs.IT2022★ 15 cited

Indoor Positioning in 5G-Advanced: Challenges and Solution towards Centimeter-level Accuracy with Carrier Phase Enhancements

Jakub Nikonowicz, Aamir Mahmood, Muhammad Ikram Ashraf +2

After robust connectivity, precise positioning is evolving into an innovative component of 5G service offerings for industrial use-cases and verticals with challenging indoor radio…

cs.NI2022

Distributed Backlog-Aware D2D Communication for Heterogeneous IIoT Applications

Hossam Farag, Cedomir Stefanovic, Mikael Gidlund

Delay and Age-of-Information (AoI) are two crucial performance metrics for emerging time-sensitive applications in Industrial Internet of Things (IIoT). In order to achieve optimal…

cs.NI2022★ 30 cited

Industry 5.0 is Coming: A Survey on Intelligent NextG Wireless Networks as Technological Enablers

Shah Zeb, Aamir Mahmood, Sunder Ali Khowaja +5

Industry 5.0 vision, a step toward the next industrial revolution and enhancement to Industry 4.0, envisioned the new goals of resilient, sustainable, and human-centric approaches…

cs.IT2021★ 1 cited

Industrial Digital Twins at the Nexus of NextG Wireless Networks and Computational Intelligence: A Survey

Shah Zeb, Aamir Mahmood, Syed Ali Hassan +3

By amalgamating recent communication and control technologies, computing and data analytics techniques, and modular manufacturing, Industry~4.0 promotes integrating cyber-physical…

cs.IT2021

Edge Intelligence in Softwarized 6G: Deep Learning-enabled Network Traffic Predictions

Shah Zeb, Muhammad Ahmad Rathore, Aamir Mahmood +3

The 6G vision is envisaged to enable agile network expansion and rapid deployment of new on-demand microservices (e.g., visibility services for data traffic management, mobile edge…

cs.IT2021

Reconfigurable Intelligent Surface-Assisted Backscatter Communication: A New Frontier for Enabling 6G IoT Networks

Sarah Basharat, Syed Ali Hassan, Aamir Mahmood +2

Backscatter Communication (BackCom), which is based on passive reflection and modulation of an incident radio-frequency (RF) wave, has emerged as a cutting-edge technological parad…

cs.IT2021

Reconfigurable Intelligent Surfaces: Potentials, Applications, and Challenges for 6G Wireless Networks

Sarah Basharat, Syed Ali Hassan, Haris Pervaiz +3

Reconfigurable intelligent surfaces (RISs), with the potential to realize a smart radio environment, have emerged as an energy-efficient and a cost-effective technology to support…

cs.IT2020★ 45 cited

Energy efficiency of slotted LoRaWAN communication with out-of-band synchronization

Luca Beltramelli, Aamir Mahmood, Patrik Österberg +3

Although the idea of using wireless links for covering large areas is not new, the advent of LPWANs has recently started changing the game. Simple, robust, narrowband modulation sc…

cs.IT2020★ 12 cited

Synchronous LoRa Communication by Exploiting Large-Area Out-of-Band Synchronization

Luca Beltramelli, Aamir Mahmood, Paolo Ferrari +3

Many new narrowband low-power wide-area networks (LPWANs) (e.g., LoRaWAN, Sigfox) have opted to use pure ALOHA-like access for its reduced control overhead and asynchronous transmi…

eess.SP2020★ 23 cited

Autonomous Interference Mapping for Industrial IoT Networks over Unlicensed Bands

Simone Grimaldi, Aamir Mahmood, Syed Ali Hassan +2

The limited coexistence capabilities of current Internet-of-things (IoT) wireless standards produce inefficient spectrum utilization and mutual performance impairment. The entity o…

cs.IT2020★ 2 cited

Performance Analysis of Backscatter Communication Systems with Non-orthogonal Multiple Access in Nakagami Fading Channels

Ahsan Waleed Nazar, Syed Ali Hassan, Haejoon Jung +2

Backscatter communication (BackCom) has been emerging as a prospective candidate in tackling lifetime management problems for massively deployed Internet-of-Things devices, which s…

eess.SP2020

RSSI Fingerprinting-based Localization Using Machine Learning in LoRa Networks

Mahnoor Anjum, Muhammad Abdullah Khan, Syed Ali Hassan +3

The scale of wireless technologies penetration in our daily lives, primarily triggered by the Internet-of-things (IoT)-based smart cities, is beaconing the possibilities of novel l…

cs.IT2020★ 2 cited

A Blind Signal Separation Algorithm for Energy Detection of Dynamic PU Signals

Jakub Nikonowicz, Aamir Mahmood, Mikael Gidlund

Energy detection process for enabling opportunistic spectrum access in dynamic primary user (PU) scenarios, where PU changes state from active to inactive at random time instances,…

cs.IT2020★ 1 cited

LoRa beyond ALOHA: An Investigation of Alternative Random Access Protocols

Luca Beltramelli, Aamir Mahmood, Patrik Österberg +1

We present a stochastic geometry-based model to investigate alternative medium access choices for LoRaWAN---a widely adopted low-power wide-area networking (LPWAN) technology for t…

cs.IT2019

Understanding the Performance of Bluetooth Mesh: Reliability, Delay and Scalability Analysis

Raúl Rondón, Aamir Mahmood, Simone Grimaldi +1

This article evaluates the quality-of-service performance and scalability of the recently released Bluetooth Mesh protocol and provides general guidelines on its use and configurat…

cs.IT2019

Time Synchronization in 5G Wireless Edge: Requirements and Solutions for Critical-MTC

Aamir Mahmood, Muhammad Ikram Ashraf, Mikael Gidlund +2

Wireless edge is about distributing intelligence to the wireless devices wherein the distribution of accurate time reference is essential for time-critical machine-type communicati…

cs.IT2018

Energy-Reliability Aware Link Optimization for Battery-Powered IoT Devices with Non-Ideal Power Amplifiers

Aamir Mahmood, M. M. Aftab Hossain, Cicek Cavdar +1

In this paper, we study cross-layer optimization of low-power wireless links for reliability-aware applications while considering both the constraints and the non-ideal characteris…

eess.SP2018

Real-time Interference Identification via Supervised Learning: Embedding Coexistence Awareness in IoT Devices

Simone Grimaldi, Aamir Mahmood, Mikael Gidlund

Energy sampling-based interference detection and identification (IDI) methods collide with the limitations of commercial off-the-shelf (COTS) IoT hardware. Moreover, long sensing t…

cs.IT2018

Scalability Analysis of a LoRa Network under Imperfect Orthogonality

Aamir Mahmood, Emiliano Sisinni, Lakshmikanth Guntupalli +3

Low-power wide-area network (LPWAN) technologies are gaining momentum for internet-of-things (IoT) applications since they promise wide coverage to a massive number of battery-oper…

eess.SP2018

Over-the-Air Time Synchronization for URLLC: Requirements, Challenges and Possible Enablers

Aamir Mahmood, Muhammad Ikram Ashraf, Mikael Gidlund +1

Ultra-reliable and low-latency communications (URLLC) is an emerging feature in 5G and beyond wireless systems, which is introduced to support stringent latency and reliability req…

cs.IT2017★ 1 cited

Quantitative Benchmarks and New Directions for Noise Power Estimation Methods in ISM Radio Environment

Jakub Nikonowicz, Aamir Mahmood, Emiliano Sisinni +1

Noise power estimation is a key issue in modern wireless communication systems. It allows resource allocation by detecting white spectral spaces effectively, and gives control over…

cs.IT2017

Renewal-Theoretic Packet Collision Modeling under Long-Tailed Heterogeneous Traffic

Aamir Mahmood, Mikael Gidlund

Internet-of-things (IoT), with the vision of billions of connected devices, is bringing a massively heterogeneous character to wireless connectivity in unlicensed bands. The hetero…