• Federated Learning Framework for Content Caching in D2D Wireless Networks 

  Mubeen, Nimra (MCS, 2025-01-03)

  Caching in device-to-device (D2D) communication networks is complicated due to the dynamic and unpredictable nature of wireless environments. Limited bandwidth, high latency, and disruptions make effective content caching ...
• Sybil attack detection using received signal strength in MIMO systems 

  Jabeen, Mashal (MCS, 2024-11-12)

  Identity theft in distributed networks, such as the internet, is becoming a significant problem due to Sybil attacks. In these attacks, perpetrators create multiple fake identities to manipulate network decisions. ...
• Modeling Weighted Average Age of Information in Non-Symmetric Networks: Practical Scheduling Approaches 

  Mughal, Muhammad Bilal (MCS, 2024-10-24)

  In the ever-expanding environment of the Internet-of-Things (IoT), multiple sensors/- sources simultaneously send their updated information to the destination or sink. To ensure the updated data availability, a new concept ...
• Joint Active and Passive Beamforming in NOMA Based UAV-IRS Assisted Covert Communication 

  Khan, Muhammad Yousaf (MCS, 2024-10-11)

  Information security remains a paramount concern in wireless networks. Covert communication offers a unique solution by hiding the transmission, making it undetectable by the warden (Willie). This thesis investigates the ...
• Signal processing of Frequency Diverse Array Radars for Satellite range Estimation 

  Shamim, Ahsan (MCS, 2024-09-26)

  The potential advantages of frequency diverse array (FDA) Radars, particularly in target direction and range estimation are numerous. Despite their ability, the angle-range-dependent beampattern of FDA Radars introduces ...
• A Spectrally Efficient Joint Power Domain and CSMUD based NOMA for mMTC 

  Jabeen, Sundus (MCS, 2024-09-25)

  The exponential growth of machine-type devices demands the need for spectrally efficient communication solutions for 6G and beyond. This thesis explores the design and development of a hybrid non-orthogonal multiple ...
• Joint Active and Passive Beamforming for RIS Assisted ISAC Systems: A DRL Based Approach 

  Mustafa, Zain (MCS, 2024-09-20)

  Integrated sensing and communication (ISAC) is regarded as a promising approach to alleviate spectrum congestion in future communication networks. Leveraging recent breakthroughs in programmable meta-materials, re-configurable ...
• An Improved Deep Learning Based Low Light Image Enhancement Model 

  Bilal, Arsal (MCS, 2024-09-09)

  Low-light image enhancement (LLIE) is important for various practical uses, aiming to improve their visual quality. Deep learning advances have been the driving force behind recent development in this field. Modern ...
• Integration of Multi-Level Attention in U-Net with Generative Adversarial Network for Enhanced Underwater Visibility 

  Ishtiaq, Muhammad (MCS, 2024-08-05)

  Underwater environment offers exceptional challenges like color cast, contrast problems and haze, hindering precise analysis. To increase visual perceptual quality of underwater images, we introduce, Integrated Generative ...
• Spoofing Attack Detection Using Receive Signal Strength in Massive MIMO System 

  Arshad, Mehak (MCS, 2024-08-22)

  With exponential growth in the public demand for higher data rates, wireless networks are expanding day by day, as more devices are connecting to the networks. To meet the demands for higher data rates, the researchers ...
• Hybrid PD-NOMA and SCMA Scheme for massive Machine Type Communication 

  Butt, Eiman Asad (MCS, 2024-06-25)

  Massive machine type communication (mMTC) has emerged as a key driver for societal digitalization, promising connectivity to a vast number of devices, reaching up to 10M/km2. However, conventional cellular systems struggle ...
• Eco-Friendly Printable Tag For Iot Based Commercial Applications 

  Islam, Wahida (MCS, 2023-11-03)

  The research presents a new, fully passive, data-dense, and compact 15×15mm2 chipless radio frequency identification (RFID) tag. The proposed design is able of encoding 15-bits information, meaning it is capable of ...
• Deep Q-Learning for Edge Caching in Cell Free Massive MIMO Networks: A Multi-Layered Approach 

  Razzaq, Saqlain (MCS, 2023-11-03)

  Cell-Free Massive MIMO (CF-mMIMO) networks have emerged as a groundbreaking advancement in wireless communication. This study proposes a novel hierarchical multi-layered approach for the optimization of edge caching in ...
• Realistic Modelling Of Chipless RFID Based Multi-Sensor Tag 

  Nadeem, Momina (MCS, 2023-10-25)

  Radio Frequency Identification (RFID) is one of the leading supporting technologies for Internet-of-Things (IoT) allowing data from everyday objects to be collected and shared via internet. RFID technology was developed ...
• Performance Analysis of Heterogeneous Networks in the presence of Deliberate Jammers using Reverse Frequency Allocation 

  Rehman, Muhammad Ihsan Ur (MCS, 2023-09-28)

  Future wireless communication networks are envisioned as multi-tier Hetnets, where small base stations (sBSs) are strategically deployed within the macro base station’s (mBS) coverage area. This deployment strategy aims ...
• Classification of Aerial Platform Using Deep Learning 

  Babar, Rizwan (MCS, 2023-09-07)

  UAVs have made significant progress in recent years, with several corporations exploring their usage for delivery. It is expected that more such objects would fly over the city in near future. The ground detection of ...
• Buzzing through Noise: A Novel Deep Learning Model for Mosquito Species Classification usingWing Beat Audio 

  Bilal, Muhammad (MCS, 2023-09-01)

  Despite global health advancements, mosquito borne diseases are still life threating and prevalent, with dengue and malaria contributing to thousands of deaths each year. However, the responsibility for transmitting these ...
• Automatic Speech Recognition for low resource language (Pashto) using wav2vec Model 

  Jawaria Tahir, Supervised by Assoc Prof Dr. Shibli Nisar, PhD (MCS, 2023-08-11)

  Due to advancements in technology, speech recognition has grown to be one of the most important aspects of human-computer interaction. In recent years, a tremendous amount of research has been conducted in the area of ...
• Target Parameter Estimation in Frequency Diverse Array Radar using Sparse Reconstruction Algorithms 

  Ayesha Ansari, Supervised by Asst. Prof. Dr. Hussain Ali (MCS, 2023-07-25)

  The frequency diverse array radar has brought a lot of interest due to the periodicity of the beampattern in angle, time, and range. It is possible to transmit energy over the required coverage and angle with only a small ...
• Fully Printable Chipless Rfid Tag With Integrated Sensors 

  Muhammad Tanzeel Khalid, Supervised by Asst Prof Dr. Ayesha Habibl (MCS, 2023-07-25)

  In this research work,30-bit Chipless RFID tag with humidity sensing capability is presented. Tag basically comprised of two triangular patches named patch A and patch B arranged in a fan shaped manner, thus making it ...

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