Browsing The University of Oklahoma by Author "Imran, Ali"
Now showing items 1-20 of 33
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Addressing mobility challenges in AI-enabled emerging cellular networks
Manalatas, Marvin Canimo (2023-05-12)The ability to support seamless user mobility has been the Raison D’etre of mobile networks. In recent years, the cellular network industry has evolved significantly, and mobility management is becoming a major challenge. ... -
Addressing training data sparsity and interpretability challenges in AI based cellular networks
Qureshi, Haneya (2021)To meet the diverse and stringent communication requirements for emerging networks use cases, zero-touch arti cial intelligence (AI) based deep automation in cellular networks is envisioned. However, the full potential of ... -
AI BASED FAULT DIAGNOSIS IN EMERGING CELLULAR NETWORKS
Bothe, Shruti (2019-08)Mobile cellular network operators spend nearly a quarter of their revenue on network management and maintenance. A significant portion of that budget, is spent on resolving faults diagnosed in the system that degrade or ... -
Artificial Intelligence-based Network Modeling for enabling Zero Touch Automation in Next Generation Cellular Networks
Masood, Usama (2023-08-04)The crux of contemporary network design involves mathematical models to describe the quantitative impact of system components on overall performance. However, these models often grapple with trade-offs between accuracy and ... -
BIG DATA ANALYTICS IN TRANSPORTATION NETWORKS USING THE NPMRDS
Bitar, Naim (2016-05-06)Urban traffic congestion is common and the cause for loss of productivity (due to trip delays) and higher risk to passenger safety (due to increased time in the automobile), not to mention an increase in fuel consumption, ... -
The Coexistence of D2D Communication under Heterogeneous Cellular Networks (HetNets)
Algedir, Amal (2019-07-25)Device-to-Device (D2D) communication is a promising technique for supporting the stringent requirements of the fifth-generation cellular network (5G). This new technique has garnered significant attention in cellular ... -
COMPARATIVE ANALYSIS OF SOFTWARE DEFINED NETWORKS (SDN) AND CONVENTIONAL NETWORKS USING ROUTING PROTOCOLS
Gopi, Deepthi (2017-05)Conventional routing protocols such as RIP, OSPF, EIGRP and BGP have a very rigid and intricate system thus narrowing the adaptability of networks to the ever changing Internet, the emergence of Software Defined Networking ... -
COMPARATIVE ANALYSIS OF USER-CELL ASSOCIATION METHODS FOR MILIMETER WAVE MASSIVE MIMO BY DEVELOPING A SYSTEM LEVEL SIMULATOR FOR HETNETS
Cetinkaya, Sinasi (2017)Massive multiple-input-multiple-output (MIMO) base station deployments and millimeter wave (mmWave) spectrum utilization have been identified as promising disruptive technologies, along with ultra-dense Heterogeneous ... -
COVERAGE ANALYSIS OF UNMANNED AERIAL VEHICLES BASED NETWORK
Qureshi, Haneya (2017)Unmanned Aerial Vehicle (UAV) based cellular deployment research has recently gained significant attention due to its ability to overcome certain limitations of both terrestrial and satellite networks. However, most studies ... -
COVERAGE ANALYSIS OF UNMANNED AERIAL VEHICLES BASED NETWORK
Qureshi, Haneya (2017)Unmanned Aerial Vehicle (UAV) based cellular deployment research has recently gained significant attention due to its ability to overcome certain limitations of both terrestrial and satellite networks. However, most studies ... -
Data Driven Network Design for Cloud Services Based on Historic Utilization
Butcher, David (2022-03-31)In recent years we have seen a shift from traditional networking in enterprises with Data Center centric architectures moving to cloud services. Companies are moving away from private networking technologies like MPLS as ... -
Data Driven Optimization of Inter-Frequency Mobility Parameters for Emerging Networks
Umar Bin Farooq, Muhammad (2021)Densification and multi-band operation means inter-frequency handovers can become a bottleneck for mobile user experience in emerging cellular networks. The challenge is aggravated by the fact that there does not exist a ... -
DeepWiN: Deep Graph Reinforcement Learning for User-Centric Radio Access Networks Automation
Shaukat, Maria (2023-12-15)The future cellular networks are expected to support an increasing number of users with heterogeneous applications, requiring varying network resources. Therefore, the 6G and beyond cellular networks need to be elastic, ... -
Designing data-aided demand-driven user-centric architecture for 6G and beyond networks
Kasi, Shahrukh Khan (2023-08-04)Despite advancements in capacity-enhancing technologies like massive MIMO (multiple input, multiple output) and intelligent reflective surfaces, network densification remains crucial for significant capacity gains in future ... -
DYNAMIC USER-CENTRIC CAPACITY MAXIMIZATION BY OPTIMIZING ANTENNA PARAMETERS
Parwez, Md Salik (2016)Cellular network has become the primary means of voice as well as data communication. With sophisticated but affordable end user devices e.g. smartphones, tablet PCs etc. and ubiquity of mobile connectivity, users are able ... -
Effects of Preprocessing Techniques on Cough Based Machine Learning Diagnosis
Mahmood, Tahir (2021-05-25)COVID-19 pandemic outbreak has taken the world by storm in the 18 months and the ramifications are by no means curtailing. The need of the hour with COVID-19 and other pulmonary diseases is a quick online diagnosis by ... -
Energy Efficient Machine Learning-Based Classification of ECG Heartbeat Types
Hartmann, Morghan (2018-12-05)To meet the accuracy, latency and energy efficiency requirements during real-time collection and analysis of health data, a distributed edge computing environment is the answer, combined with 5G speeds and modern computing ... -
FULLY AUTONOMOUS SELF-POWERED INTELLIGENT WIRELESS SENSOR FOR REAL-TIME TRAFFIC SURVEILLANCE IN SMART CITIES
BALID, WALID (2016-12-18)Reliable, real-time traffic surveillance is an integral and crucial function of the 21st century intelligent transportation systems (ITS) network. This technology facilitates instantaneous decision-making, improves roadway ... -
IEEE 802.11ac Performance Analysis and Measurement Tools
Ghanem, Madelene (2018-08)Wireless local area networks have witnessed a large growth over the course of the last decade which has led to increased data traffic and demand for higher speeds. One of the IEEE 802.11 standards family that was developed ... -
Investigating the potential of synthetic data for enabling AI-based zero-touch network automation
Shodamola, Joel (2021)The essence and importance of rich and relevant data can not be overemphasized in the field of artificial intelligence. From machine learning to deep learning models, the performance of a model is majorly dependent on the ...