DocumentCode
2899641
Title
A new adaptive channel assignment algorithm in cellular mobile systems
Author
Yongbing Zhang
Author_Institution
Inst. of Policy & Planning Sci., Tsukuba Univ., Ibaraki, Japan
Volume
Track8
fYear
1999
fDate
5-8 Jan. 1999
Abstract
In this paper, a new adaptive channel assignment algorithm in cellular mobile systems is proposed and examined in comparison with a dynamic load balancing strategy, the load balancing with selective borrowing (LBSB) algorithm. The new algorithm is based on the fixed channel assignment strategy as its underlying scheme, that is, it assigns a fixed number of channels to each cell permanently. At run-time, it attempts to balance dynamically the imbalance of available channels between the cells. Two thresholds, light and heavy, are introduced to classify the cells in the system into three classes according to the number of available channels in the cells: light, moderate, and heavy cells. Each cell is assumed to know its own exact state (the number of the available channels) and to which class it belongs at any given instant. The MSC keeps the state information of the cells and runs the channel borrowing algorithm to borrow free channels from the light cells for the heavy cells whenever it finds any heavy cells. The moderate cells are not allowed to borrow any channels from any other cells nor lend any channels to any other cells. When making a borrowing decision, the states of the co-channel cells of a potential lender cell are also taken into account to prevent a potential channel borrowing loop. The results indicate that the new algorithm performs better than the LBSB algorithm with respect to the call blocking probability.
Keywords
cellular radio; channel allocation; adaptive channel assignment algorithm; borrowing decision; call blocking probability; cellular mobile systems; co-channel cell states; dynamic load balancing strategy; exact state; fixed channel assignment strategy; heavy cells; heavy threshold; lender cell; light cells; light threshold; load balancing with selective borrowing algorithm; moderate cells; Load management; Runtime;
fLanguage
English
Publisher
ieee
Conference_Titel
Systems Sciences, 1999. HICSS-32. Proceedings of the 32nd Annual Hawaii International Conference on
Conference_Location
Maui, HI, USA
Print_ISBN
0-7695-0001-3
Type
conf
DOI
10.1109/HICSS.1999.773063
Filename
773063
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