On integrating natural computing based optimization with channel assignment mining and decision making towards efficient spectrum reuse in cellular networks modelled through multi-agent system schemes

P. M. Papazoglou, D. A. Karras, Rallis Papademetriou

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Heuristic schemes and algorithms are successfully used for solving optimization problems. A great challenge in large-scale wireless networks is the channel allocation adaptability to dynamic network traffic conditions, which can be
formulated as a discrete optimization problem. Several approaches such as genetic algorithms and multi-agent techniques have been applied so far in the literature for solving the resource management problem focusing mainly on network base-stations representation. A very promising intelligent approach known as ant colony optimization (ACO) which constitutes a special form of swarm intelligence has been used for solving routing problems. This approach has been introduced by the authors for improving the channel allocation in large-scale wireless networks, focusing on network procedures as the basic model component and not on network nodes as so far found in the literature. A comprehensive intelligent model architecture based on multi-agent systems technology and ACO for channel allocation in cellular networks is herein analysed and proposed. Moreover, the decision making for channel allocation is presented as well as the network-ant agent communication model. The new methodology for integrating ACO schemes and decision making regarding spectrum reuse in a multi-agent framework, through a novel agent negotiation approach, is the main contribution of this research. Finally, the simulation results show the large-scale wireless network performance improvement in
terms of efficient resource management.
Original languageEnglish
Title of host publicationWireless Communications, Networking and Applications
Subtitle of host publicationproceedings of WCNA 2014
EditorsQ.-A. Zeng
Place of PublicationIndia
PublisherSpringer
Pages783-798
Number of pages16
Volume348
ISBN (Print)978-81-322-2579-9
DOIs
Publication statusPublished - 29 Oct 2015
EventInternational Conference on Wireless Communications, Networking and Applications (WCNA 2014) - Shenzhen, China
Duration: 27 Dec 201428 Dec 2014

Publication series

NameLecture Notes in Electrical Engineering
PublisherSpringer
ISSN (Print)1876-1100

Conference

ConferenceInternational Conference on Wireless Communications, Networking and Applications (WCNA 2014)
Country/TerritoryChina
CityShenzhen
Period27/12/1428/12/14

Keywords

  • Wireless communications
  • Resource management
  • Multi-agent systems
  • Cellular networks
  • Swarm intelligence
  • Spectrum reuse
  • Channel allocation

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