Browsing The University of Oklahoma by Author "Imran, Ali"
Now showing items 21-33 of 33
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LARGE-SCALE DATA PROCESSING FOR DETECTING ACTIVITY ZONES IN MILAN
Darbandi, Arsalan (2017-08)Small cell networks are complements for existing networks to improve quality of service (QoS), capacity, and coverage. The primary purpose of this thesis is to mine mobile network data to provide an algorithm that mobile ... -
Mobility management in multi-RAT multiI-band heterogeneous networks
Zaidi, Syed Muhammad Asad (2021-05-11)Support for user mobility is the raison d'etre of mobile cellular networks. However, mounting pressure for more capacity is leading to adaption of multi-band multi-RAT ultra-dense network design, particularly with the ... -
Modular Optical Wireless Elements
Kaadan, Asaad (2016-12-16)Optical wireless has gained attention in recent years as an e cient and secure way to provide broadband connectivity to mobile platforms, isolated communities, and crowded public events. Companies like NASA, Google, Facebook, ... -
A New Paradigm for Proactive Self-Healing in Future Self-Organizing Mobile Cellular Networks
Asghar, Ahmad (2019)Mobile cellular network operators spend nearly a quarter of their revenue on network management and maintenance. Remarkably, a significant proportion of that budget is spent on resolving outages that degrade or disrupt ... -
NOVEL USER-CENTRIC ARCHITECTURES FOR FUTURE GENERATION CELLULAR NETWORKS: DESIGN, ANALYSIS AND PERFORMANCE OPTIMIZATION
Hashmi, Umair Sajid (2019-08)Ambitious targets for aggregate throughput, energy efficiency (EE) and ubiquitous user experience are propelling the advent of ultra-dense networks. Inter-cell interference and high energy consumption in an ultra-dense ... -
ON ANALYTICAL MODELING OF MOBILITY SIGNALLING IN ULTRA DENSE HETNETS
Taufique, Azar (2018-05-15)Multi-band and multi-tier network densification is being considered as the most promising solution to overcome the capacity crunch problem in emerging cellular networks. To this end, small cells (SCs) are being deployed ... -
A PARADIGM SHIFTING APPROACH IN SON FOR FUTURE CELLULAR NETWORKS
Farooq, Hasan (2018)The race to next generation cellular networks is on with a general consensus in academia and industry that massive densification orchestrated by self-organizing networks (SONs) is the cost-effective solution to the impending ... -
PRACTICAL COUGH DETECTION IN PRESENCE OF BACKGROUND NOISE AND PRELIMINARY DIFFERENTIAL DIAGNOSIS FROM COUGH SOUND USING ARTIFICIAL INTELLIGENCE
John, Charles (2020-05-07)Cough is one of the most common symptoms for many of the diseases. Physicians have been using characteristics of cough for preliminary diagnosis of certain respiratory diseases for ages. But the methods have been subjective ... -
Practical Extensions to the Evaluation and Analysis of Wireless Coexistence in Unlicensed Bands
Al Kalaa, Mohamad Omar (2016-12-16)Sharing spectrum resources in unlicensed bands has proven cost effective and beneficial for providing ubiquitous access to wireless functionality for a broad range of applications. Chipsets designed to implement communication ... -
REALISTIC MODELING OF HANDOVER EVENTS IN A MULTI-CARRIER 5G NETWORK: A PRELIMINARY STEP TOWARDS COP-KPI RELATIONSHIP REALIZATION
Manalastas, Marvin (2020-05-08)The ever-increasing demand for mobile data traffic along with new use cases are set to make the current cellular network technology obsolete and give rise to a newer and better one in the form of 5G. This arising technology ... -
Selection and Validation of Biosensors for a Novel Healthcare Environment
Schettler, Jesse (2016-05)Flotation tanks provide a unique environment for reducing the deleterious effects of stress on the human mind and body. As a result, biosensors capable of collecting objective physiological data during float sessions are ... -
TOWARD ENHANCED WIRELESS COEXISTENCE IN THE 2.4GHZ ISM BAND VIA TEMPORAL CHARACTERIZATION AND EMPIRICAL MODELING OF 802.11B/G/N NETWORKS A DISSERTATION
Rajab, Samer (2016)This dissertation presents an extensive experimental characterization and empirical modelling of 802.11 temporal behavior. A detailed characterization of 802.11b/g/n homogeneous and heterogeneous network traffic patterns ... -
TOWARDS AI-ENABLED DIAGNOSTICS FROM NOISY AND INCOMPLETE DATA
Riaz, Muhammad Sajid (2024-05-10)The advent of artificial intelligence (AI) has revolutionized diagnostic procedures, promising enhanced accuracy and efficiency across various domains. This dissertation leverages AI capabilities for diagnostic purposes, ...