41 citations · 75 across the 20 of their papers we have counts for
21 papers
Design of an Efficient CSI Feedback Mechanism in Massive MIMO Systems: A Machine Learning Approach using Empirical Data
Muhammad Karam Shehzad, Luca Rose, Stefan Wesemann +2
Massive multiple-input multiple-output (mMIMO) regime reaps the benefits of spatial diversity and multiplexing gains, subject to precise channel state information (CSI) acquisition…
Direct view of phonon dynamics in atomically thin MoS
Tristan L. Britt, Qiuyang Li, Laurent P. René de Cotret +7
Transition metal dichalcogenide monolayers and heterostructures are highly tunable material systems that provide excellent models for physical phenomena at the two-dimensional (2D)…
Real-Time Trash Detection for Modern Societies using CCTV to Identifying Trash by utilizing Deep Convolutional Neural Network
Syed Muhammad Raza, Syed Muhammad Ghazi Hassan, Syed Ali Hassan +1
To protect the environment from trash pollution, especially in societies, and to take strict action against the red-handed people who throws the trash. As modern societies are deve…
Backhaul-Aware Intelligent Positioning of UAVs and Association of Terrestrial Base Stations for Fronthaul Connectivity
Muhammad K. Shehzad, Arsalan Ahmad, Syed Ali Hassan +1
The mushroom growth of cellular users requires novel advancements in the existing cellular infrastructure. One way to handle such a tremendous increase is to densely deploy terrest…
TaNTIN: Terrestrial and Non-Terrestrial Integrated Networks-A collaborative technologies perspective for beyond 5G and 6G
Muhammad Waseem Akhtar, Syed Ali Hassan
The world is moving toward globalization rapidly. Everybody has easy access to information with the spread of Internet technology. Businesses are growing beyond national borders. I…
The Shift to 6G Communications: Vision and Requirements
Muhammad Waseem Akhtar, Syed Ali Hassan, Rizwan Ghaffar +3
The sixth-generation (6G) wireless communication network is expected to integrate the terrestrial, aerial, and maritime communications into a robust network which would be more rel…
New Normal: Cooperative Paradigm for Covid-19 Timely Detection and Containment using Internet of Things and Deep Learning
Farooque Hassan Kumbhar, Syed Ali Hassan, Soo Young Shin
The spread of the novel coronavirus (COVID-19) has caused trillions of dollars in damages to the governments and health authorities by affecting the global economies. The purpose o…
A Deep Convolutional Neural Network for the Detection of Polyps in Colonoscopy Images
Tariq Rahim, Syed Ali Hassan, Soo Young Shin
Computerized detection of colonic polyps remains an unsolved issue because of the wide variation in the appearance, texture, color, size, and presence of the multiple polyp-like im…
An Improved Deep Convolutional Neural Network-Based Autonomous Road Inspection Scheme Using Unmanned Aerial Vehicles
Syed Ali Hassan, Tariq Rahim, Soo Young Shin
Advancements in artificial intelligence (AI) gives a great opportunity to develop an autonomous devices. The contribution of this work is an improved convolutional neural network (…
Energy Efficiency and Hover Time Optimization in UAV-based HetNets
S. T. Muntaha, S. A. Hassan, H. Jung +1
In this paper, we investigate the downlink performance of a three-tier heterogeneous network (HetNet). The objective is to enhance the edge capacity of a macro cell by deploying un…
A Drone-Aided Blockchain-Based Smart Vehicular Network
Muhammad Asaad Cheema, Muhammad Karam Shehzad, Hassaan Khaliq Qureshi +2
The staggering growth of the number of vehicles worldwide has become a critical challenge resulting in tragic incidents, environment pollution, congestion, etc. Therefore, one of t…
STBC-Aided Cooperative NOMA with Timing Offsets, Imperfect Successive Interference Cancellation, and Imperfect Channel State Information
Muhammad Waseem Akhtar, Syed Ali Hassan, Sajid Saleem +1
The combination of non-orthogonal multiple access(NOMA) and cooperative communications can be a suitable solution for fifth generation (5G) and beyond 5G (B5G) wireless systems wit…
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…
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…
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…
Machine Learning for Resource Management in Cellular and IoT Networks: Potentials, Current Solutions, and Open Challenges
Fatima Hussain, Syed Ali Hassan, Rasheed Hussain +1
Internet-of-Things (IoT) refers to a massively heterogeneous network formed through smart devices connected to the Internet. In the wake of disruptive IoT with a huge amount and va…
Machine Learning in IoT Security: Current Solutions and Future Challenges
Fatima Hussain, Rasheed Hussain, Syed Ali Hassan +1
The future Internet of Things (IoT) will have a deep economical, commercial and social impact on our lives. The participating nodes in IoT networks are usually resource-constrained…
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…
Performance Analysis of Decoupled Cell Association in Multi-Tier Hybrid Networks using Real Blockage Environments
Osama Waqar Bhatti, Haris Suhail, Uzair Akbar +4
Millimeter wave (mmWave) links have the potential to offer high data rates and capacity needed in fifth generation (5G) networks, however they have very high penetration and path l…
A Deep Learning Framework using Passive WiFi Sensing for Respiration Monitoring
U. M. Khan, Z. Kabir, S. A. Hassan +1
This paper presents an end-to-end deep learning framework using passive WiFi sensing to classify and estimate human respiration activity. A passive radar test-bed is used with two…
Wireless Health Monitoring using Passive WiFi Sensing
U. M. Khan, Z. Kabir, S. A. Hassan
This paper presents a two-dimensional phase extraction system using passive WiFi sensing to monitor three basic elderly care activities including breathing rate, essential tremor a…