Telecommunication Networks and Frequency Assignment Problems

Carlos A. S. Oliveira ()
Additional contact information
Carlos A. S. Oliveira: AT&T Labs Inc.

Chapter Chapter 8 in Handbook of Artificial Intelligence and Data Sciences for Routing Problems, 2025, pp 137-155 from Springer

Abstract: Abstract The Frequency Assignment Problem (FAP) is a critical issue in telecommunications, involving the optimal allocation of frequencies to transmitters under various constraints. This chapter provides a comprehensive overview of the FAP, starting with a formal definition and highlighting its complexity, including its classification as an NP-hard problem. The relationship between FAP and graph coloring is explored, showcasing how graph theoretical approaches can be applied to model and solve the problem. Various optimization objectives, such as minimizing interference and spectrum usage, are discussed. The chapter also reviews related work, emphasizing the evolution of algorithms and methods, particularly in the context of cellular networks, where minimizing interference is paramount. Finally, alternative formulations and advanced heuristics for solving the FAP are examined, offering insights into both theoretical and practical aspects of this complex problem.

Keywords: Telecommunications; Frequency assignment; Assignment problem (search for similar items in EconPapers)
Date: 2025
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:spochp:978-3-031-78262-6_8

Ordering information: This item can be ordered from
http://www.springer.com/9783031782626

DOI: 10.1007/978-3-031-78262-6_8

Access Statistics for this chapter

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