Channel Loading in Private Mobile Radio Networks

Steve Hurley (), Roger Whitaker () and Derek Smith ()

Annals of Operations Research, 2001, vol. 107, issue 1, 224 pages

Abstract: Radio traffic congestion occurs in a radio network when too many users simultaneously transmit on the same channel within close geographical proximity. Such congestion can be prevented by imposing channel loading constraints, which restrict the number of users that can operate using the same channel at one instance in time. Channel loading constraints are a variety of non-binary constraint that can be represented as subsets of transmitters which cannot operate on the same channel. This makes the computational cost in generating and storing them significant. In this paper we present an efficient technique for making an assignment when channel loading constraints are imposed. The method is suitable for implementation on large problem instances. We also propose a technique for finding a lower bound on the minimum span of channels required. The methods we introduce are well suited to the channel loading problem as they eliminate the need for explicit generation of the constraints involved. Copyright Kluwer Academic Publishers 2001

Keywords: frequency assignment; channel loading (search for similar items in EconPapers)
Date: 2001
References: Add references at CitEc
Citations:

Downloads: (external link)
http://hdl.handle.net/10.1023/A:1014907300704 (text/html)
Access to full text is restricted to subscribers.

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:annopr:v:107:y:2001:i:1:p:211-224:10.1023/a:1014907300704

Ordering information: This journal article can be ordered from
http://www.springer.com/journal/10479

DOI: 10.1023/A:1014907300704

Access Statistics for this article

Annals of Operations Research is currently edited by Endre Boros

More articles in Annals of Operations Research from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().