Title
A decomposition approach for fixed channel assignment problems in large-scale cellular networks.
Abstract
Due to insufficient available bandwidth resources and the continuously growing demand for cellular communication services, the channel assignment problem has become increasingly important. To trace the optimal assignment, several heuristic strategies have been proposed. So far, most of them focus on the small-scale systems containing no more than 25 cells and they use an anachronistic cost model, which does not satisfy the requirements of most existing cellular operators, to measure the solution quality. Solving the small-scale channel assignment problems could not be applied into existing large scale cellular networks' practice. This article proposes a decomposition approach to solve the fixed channel assignment problem (FCAP) for large-scale cellular networks through partitioning the whole cellular network into several smaller sub-networks and then designing a sequential branch-and-bound algorithm that is made to solve the FCAP for them sequentially. The key issue of partition is to minimize the dependences of the sub-networks so that the proposed heuristics for solving smaller problems will suffer fewer constraints in searching for better assignments. The proposed algorithms perform well based on experimental results and they were applied to the Taiwan Cellular Cooperation (TCC) in ChungLi city to find better assignments for its network.
Year
DOI
Venue
2003
10.1109/JCN.2003.6596678
Journal of Communications and Networks
Keywords
Field
DocType
Clustering algorithms,Couplings,Frequency measurement,Interference,Bandwidth,Algorithm design and analysis,Partitioning algorithms
Heuristic,Mathematical optimization,Algorithm design,Cellular communication,Computer science,Communication channel,Heuristics,Resource allocation,Cellular network,Channel allocation schemes
Journal
Volume
Issue
ISSN
5
1
1229-2370
Citations 
PageRank 
References 
0
0.34
2
Authors
3
Name
Order
Citations
PageRank
Ming-Hui Jin113716.17
Wu, E.H.-K.233939.53
Jorng-Tzong Horng354167.78