GSPN Models of Dual-Band GSM Networks

Marco Ajmone Marsan (), Michela Meo () and Matteo Sereno ()
Additional contact information
Marco Ajmone Marsan: Politecnico di Torino, Dipartimento di Elettronica
Michela Meo: Politecnico di Torino, Dipartimento di Elettronica
Matteo Sereno: Università di Torino, Dipartimento di Informatica

A chapter in Communication-Based Systems, 2000, pp 1-15 from Springer

Abstract: Abstract In this paper we present detailed and compact GSPN models for the performance analysis, design, and planning of cellular mobile telephony networks in which the utilization of two separate frequency bands for the provision of services to end users (like in dual-band GSM systems) complicates the cellular structure with the presence of microcells and macrocells. The flexibility of the GSPN modeling approach allows a simple construction of detailed and compact models under different assumptions as regards system parameters and resource management algorithms. This makes the performance analysis of the considered type of communication systems much simpler than with direct Markovian models, and is instrumental for careful network design and planning procedures. The presentation of numerical results derived from the GSPN models proves the viability of the proposed approach.

Keywords: Cell Cluster; Active Call; Spatial Reuse; Free Channel; Call Request (search for similar items in EconPapers)
Date: 2000
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-94-015-9608-4_1

Ordering information: This item can be ordered from
http://www.springer.com/9789401596084

DOI: 10.1007/978-94-015-9608-4_1

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().