Paper Info
Title
Revisiting the optimal partitioning of zones in next generation cellular networks: a network capacity impact perspective
Abstract
While the problem of optimal cell-site partitioning has been primarily studied from the perspective of scarce radio resources in the access network, recent field measurements have shown significant impact of paging load on the core signaling subsystem capacity. In this paper, we revisit the problem of optimal zone partitioning, identifying factors affecting partitioning cost at the core switch. We develop a general integer programming formulation for joint optimization of two key issues: (i) assignment of cells to a base station controller and controllers to the core signaling subsystem, (ii) optimal partitioning of zones at the access and network levels. Given the exponential nature of the location planning problem, we develop a genetic algorithm based approach for solving the general zone partitioning and configuration problem, both for incumbent and greenfield networks. Our results demonstrate significant cost and performance benefits at the network level for next generation converged services.
Year
DOI
Venue
2007
10.1007/978-3-540-72990-7_87
International Teletraffic Congress
Keywords
Field
DocType
configuration problem,network level,access network,core switch,optimal partitioning,optimal cell-site partitioning,cellular network,location planning problem,general zone partitioning,partitioning cost,optimal zone partitioning,next generation,network capacity impact perspective,genetic algorithms,genetic algorithm,base station controller
Network level,Exponential function,Computer science,Computer network,Next generation cellular networks,Base station subsystem,Integer programming,Paging,Genetic algorithm,Access network
Conference
Volume
ISSN
Citations 
4516
0302-9743
0
PageRank 
References 
Authors
0.34
5
6
Name
Order
Citations
PageRank
Samik Ghosh111812.12
Huan Li200.34
Hee Lee3151.78
Prabir Das4165.20
Kalyan Basu566268.91
Sajal K. Das68086745.54