DocumentCode
169514
Title
A new hybrid channel allocation scheme for mobile networks: Markov chain representation
Author
Guha Thakurta, Parag Kumar ; Sen, Mrinal ; Singh, Ashutosh ; Anujendra
Author_Institution
Dept. of CSE, NIT Durgapur, Durgapur, India
fYear
2014
fDate
9-11 Jan. 2014
Firstpage
53
Lastpage
57
Abstract
In mobile communication systems, the efficient use of available channels has been shown to improve the system capacity against limited resource. The role of a channel assignment scheme is to allocate channels to cells or mobiles in such a way that the communication facility is improved. In this context, a new approach on hybrid channel allocation scheme (HCA) for mobile networks is proposed in this paper. It includes the features of both fixed channel allocation (FCA) and dynamic channel allocation (DCA) schemes. The assigned channels through FCA are equally distributed among each of the side of a hexagonal cell under a base station (BS) for low traffic. The DCA is proposed for further improvement by introducing dynamic allocation policy. The intercellular channel allocation (ICA) phase describes call scheduling procedure. In addition, the proposed model is verified through Markov Chain representation. The characteristics of the proposed model are expressed with Markov Chain process. The proposed model achieves an improved performance in terms of reduced communication and computational overhead.
Keywords
Markov processes; channel allocation; mobile radio; Markov chain; available channel use; base station; channel assignment; dynamic channel allocation; fixed channel allocation; hybrid channel allocation; intercellular channel allocation; mobile communication; mobile network; Reliability theory; Switches; Markov chain; dynamic channel allocation (DCA); fixed channel allocation (FCA); intercellular allocation (ICA); topological ordering;
fLanguage
English
Publisher
ieee
Conference_Titel
Business and Information Management (ICBIM), 2014 2nd International Conference on
Conference_Location
Durgapur
Print_ISBN
978-1-4799-3263-4
Type
conf
DOI
10.1109/ICBIM.2014.6970932
Filename
6970932
Link To Document