Please use this identifier to cite or link to this item:
http://hdl.handle.net/10603/362471
Title: | Development of Methodology For Distributed Dynamic Channel Allocation In Cellular Network |
Researcher: | Kamble, Megha |
Guide(s): | Gupta, Roopam |
Keywords: | Computer Science Computer Science Information Systems Engineering and Technology |
University: | Rajiv Gandhi Proudyogiki Vishwavidyalaya |
Completed Date: | 2014 |
Abstract: | Cellular networks and mobile communication is inherent part of today s communication newlinetechnology. There are different types of cellular networks like macro, micro, pico with varying newlinetraffic densities. Typical architecture of cellular network is, the geographical area divided into newlinehexagonal cells. The mobile hosts in each cell are serviced by a base station (BS) located in the newlinecell. Group of cells are creating compact patterns called as clusters. Study of large scale cellular newlinenetwork is possible with the help of clusters. newlineThe available wireless bandwidth is divided into channels, where each channel is newlinecapable of supporting a communication session. An efficient allocation of communication newlinechannel is necessary for good performance of the network where as limited spectrum of newlinebandwidth is available. There are some more factors of resource management which are to be newlinetaken care for good performance. Those are maximum reuse of individual channel, reduced call newlineblocking and call dropping probability, minimum channel acquisition delay, minimum message newlinecomplexity, average degree of coldness above optimum threshold value and avoiding newlineunderutilization of resource. newlineNonuniform traffic scenario is real scenario in cellular network. This generates clusters newlinewith uneven resource demand. Channel borrowing is effective mechanism in such case to newlinesupport clusters with more demand from the clusters with less demand. Existing borrowing newlineschemes are focused on demand fulfillment of borrower but not bothered about performance of newlinelender, which is equally important for network performance. newlineTo support every user with suitable resource, call admission control and resource newlinemanagement are two key components of the cellular network. Existing approaches have newlineimplemented both the techniques in independent manner. To achieve better performance, newlineintegrated framework should be there to tackle both aspects. newlineCall admission control is entry level mechanism to determine whether to accept or newlinereject originated or handoff call. There are number of admission con |
Pagination: | 6.62MB |
URI: | http://hdl.handle.net/10603/362471 |
Appears in Departments: | Department of Information Technology |
Files in This Item:
File | Description | Size | Format | |
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01 _ title.pdf | Attached File | 33.96 kB | Adobe PDF | View/Open |
02 _ certificate.pdf | 123.43 kB | Adobe PDF | View/Open | |
03 _ contents.pdf | 47.08 kB | Adobe PDF | View/Open | |
04 _ list of tables.pdf | 41.14 kB | Adobe PDF | View/Open | |
05 _ list of figures.pdf | 43.59 kB | Adobe PDF | View/Open | |
06 _ acknowledgements.pdf | 35.71 kB | Adobe PDF | View/Open | |
07 _ chapter 1.pdf | 768.37 kB | Adobe PDF | View/Open | |
08 _ chapter 2.pdf | 498.29 kB | Adobe PDF | View/Open | |
10 _ a chapter 5.pdf | 1.23 MB | Adobe PDF | View/Open | |
10 _ b chapter 6.pdf | 139.95 kB | Adobe PDF | View/Open | |
10 _ chapter 4.pdf | 1.2 MB | Adobe PDF | View/Open | |
11 _ appendix.pdf | 510.12 kB | Adobe PDF | View/Open | |
12 _ references.pdf | 378.64 kB | Adobe PDF | View/Open | |
80_recommendation.pdf | 51.05 kB | Adobe PDF | View/Open | |
9 _ chapter 3.pdf | 871.8 kB | Adobe PDF | View/Open | |
abbreviation.pdf | 39.87 kB | Adobe PDF | View/Open | |
abstract.pdf | 51.05 kB | Adobe PDF | View/Open | |
declaration certificate.pdf | 324.34 kB | Adobe PDF | View/Open | |
list of publication.pdf | 367.2 kB | Adobe PDF | View/Open | |
preliminary page.pdf | 33.96 kB | Adobe PDF | View/Open |
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