Dissertation/Thesis Abstract

Energy-Pivotal Frameworks for Green Femtocell Power Control in Hybrid-Dense Deployments
by Al Haddad, Mazen, Ph.D., University of Louisiana at Lafayette, 2016, 125; 10245452
Abstract (Summary)

With the ever-increasing demand for mobile traffic, it is important that telecom networks are modernized with all the capacity, quality, and coverage extension technologies available. Due to the pressures of population and modern technology, the biophysical environment is being degraded, sometimes permanently. Energy efficiency and low carbon strategies have recently attracted a lot of concern. Solutions that help reduce greenhouse gases and make a less harmful environmental impact are required. Heterogeneous Networks (HetNets), comprising a mix of lower-power nodes (like Femtocells) and higher power Macro base-stations, provide the means to enhance quality and coverage and offer scalable networks towards 1,000 fold gains in capacity as per 5G technology vision. Femtocells increase the capacity of the Macro-only networks by moving high-data rate users to low-power Femto alternatives and are likely to proliferate in next-generation wireless systems. High-density Femtocell deployments are seen as future low-cost solution to significantly gain capacity compared to conventional deployments. However, in such deployments, the problem of interference appears between the Macrocells and Femtocells as well as among the Femtocells themselves. Expensive insights into Macro-Femto interference are researched and available, while Femto-Femto interference is only partially addressed. This research work outlines this problem and points to possible solutions to mitigate Femto-Femto interference, increase network capacity, decrease power consumption, and likewise, reduce the CO2 footprint.

Indexing (document details)
Advisor: Bayoumi, Magdy
Commitee: Bayoumi, Magdy, El-Gazar, Khalid, Kumar, Ashok, Perkins, Dmitri
School: University of Louisiana at Lafayette
Department: Computer Science
School Location: United States -- Louisiana
Source: DAI-B 78/12(E), Dissertation Abstracts International
Source Type: DISSERTATION
Subjects: Computer science
Keywords: Energy efficiency, Femtocell, HetNets, Interference management, Quality of service, Renewable Energy Systems
Publication Number: 10245452
ISBN: 9780355113143
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