Show/Hide Menu
Hide/Show Apps
Logout
Türkçe
Türkçe
Search
Search
Login
Login
OpenMETU
OpenMETU
About
About
Open Science Policy
Open Science Policy
Open Access Guideline
Open Access Guideline
Postgraduate Thesis Guideline
Postgraduate Thesis Guideline
Communities & Collections
Communities & Collections
Help
Help
Frequently Asked Questions
Frequently Asked Questions
Guides
Guides
Thesis submission
Thesis submission
MS without thesis term project submission
MS without thesis term project submission
Publication submission with DOI
Publication submission with DOI
Publication submission
Publication submission
Supporting Information
Supporting Information
General Information
General Information
Copyright, Embargo and License
Copyright, Embargo and License
Contact us
Contact us
Resource management in callular communication networks with subscriber profile prediction
Download
index.pdf
Date
2005
Author
Yılmaz, Nusrat
Metadata
Show full item record
Item Usage Stats
183
views
126
downloads
Cite This
In this study, a dynamic resource management and subscriber profile prediction scheme for mobile communication systems is presented. The aim is to achieve a high level of QoS for both handoff calls and new calls, while at the same time to improve the utilization of wireless network resources. The simultaneous satisfaction of these two actually conflicting interests will be thanks to two major key features. First, it will be due to the individual subscriber profile based prior information about handoff reservation requests that are provided by the mobile terminals. This information is based on the cell transition probabilities calculated by the mobile itself using collected information during past operations. Second, it will be due to a two-way approach implemented in the resource management processes. The two-way approach controls both the amount of reserved radio channels and the new call admission in a dynamic way, depending on the subscriber mobility and network traffic conditions.
Subject Keywords
Telecommunication.
URI
http://etd.lib.metu.edu.tr/upload/12606274/index.pdf
https://hdl.handle.net/11511/15279
Collections
Graduate School of Natural and Applied Sciences, Thesis
Suggestions
OpenMETU
Core
Resource management in cellular communication networks with subscriber profile prediction
Yilmaz, N; Ergul, R (2004-09-09)
in this paper, a dynamic resource management and subscriber profile prediction scheme for mobile communication systems is presented. Using this approach, a high level of QoS for both handoff calls and new calls, and better utilization of wireless network resources has been achieved. The simultaneous satisfaction of these two actually conflicting interests will be due to two key features. First, it is due to the subscriber profile predicted using subscriber data. This apriori information about possible hando...
Robust data hidings scheme with turbo codes
Ünal, Barış; Ergül, Rüyal; Department of Electrical and Electronics Engineering (2005)
This study describes the design and implementation of a robust data hiding algorithm which is provided by turbo codes. As the digital technology grows up, it is getting easy to copy and distribute multimedia products without getting legal permission. This has forced researchers to study in digital watermarking areas. Along with watermarking researches, data hiding studies have gained interest in the last decade. Different watermark and data hiding algorithms have been proposed considering different requirem...
Multi-scan data association algorithm for multitarget tracking
Ağırnas, Emre; Demirbaş, Kerim; Department of Electrical and Electronics Engineering (2004)
Data association problem for multitarget tracking is determination of the relationship between targets and the incoming measurements from sensors of the target tracking system. Performance of a multitarget tracking system is strongly related to the chosen method for data association and target tracking algorithm. Incorrect data association effects state estimation of targets. In this thesis, we propose a new multi-scan data association algorithm for multitarget tracking systems. This algorithm was implement...
Performance optimization of monopulse tracking radar
Şahin, Mehmet Alper; Leblebicioğlu, Mehmet Kemal; Department of Electrical and Electronics Engineering (2004)
An analysis and simulation tool is developed for optimizing system parameters of the monopulse target tracking radar and observing effects of the system parameters on the performance of the system over different scenarios. A monopulse tracking radar is modeled for measuring the performance of the radar with given parameters, during the thesis studies. The radar model simulates the operation of a Class IA type monopulse automatic tracking radar, which uses a planar phased array. The interacting multiple mode...
An overview of detection in MIMO radar
Bilgi Akdemir, Şafak; Candan, Çağatay; Department of Electrical and Electronics Engineering (2010)
In this thesis study, an overview of MIMO radar is presented. The differences in radar cross section, channel and received signal models in different MIMO radar configurations are examined. The performance improvements that can be achieved by the use of waveform diversity in coherent MIMO radar and by the use of angular diversity in statistical MIMO radar are investigated. The optimal detector under Neyman-Pearson criterion for Coherent MIMO radar when the interfering signal is white Gaussian noise is devel...
Citation Formats
IEEE
ACM
APA
CHICAGO
MLA
BibTeX
N. Yılmaz, “Resource management in callular communication networks with subscriber profile prediction,” Ph.D. - Doctoral Program, Middle East Technical University, 2005.