Adaptive dynamic channel borrowing in road-covering mobile networks

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Abstract

This paper introduces adaptive dynamic channel borrowing strategies for wireless networks covering a road. In a GSM-based model, road traffic prediction models are used to characterise the movement of hot spots, such as occurring in rush hour due to traffic jams moving along a highway, and subsequently to predict the teletraffic load offered to the wireless network. From these results a dynamic upper bound on the capacity required to achieve a specified Quality of Service level in the cells is computed. Restricting borrowing to neighbouring cells to avoid excessive reallocation of capacity, optimal channel borrowing strategies based on traffic movement and traffic density are given. These strategies can be characterised by a straightforward rule of thumb: borrow capacity from the cell on the steeper side of the traffic peak, that makes our strategy easily implementable. Results of a dynamic simulation under realistic load indicate a significant reduction of call blocking probabilities under our optimal channel borrowing strategy.
Original languageEnglish
Place of PublicationEnschede
PublisherUniversity of Twente, Faculty of Mathematical Sciences
Publication statusPublished - 2001

Publication series

NameMemorandum / Faculty of Mathematical Sciences
PublisherUniversity of Twente, Faculty of Mathematical Sciences
No.1589
ISSN (Print)0169-2690

Fingerprint

Wireless networks
Blocking probability
Global system for mobile communications
Quality of service
Computer simulation

Keywords

  • MSC-60K25
  • MSC-90B18
  • IR-65776
  • EWI-3409
  • MSC-90B20

Cite this

Ule, A., & Boucherie, R. J. (2001). Adaptive dynamic channel borrowing in road-covering mobile networks. (Memorandum / Faculty of Mathematical Sciences; No. 1589). Enschede: University of Twente, Faculty of Mathematical Sciences.
Ule, A. ; Boucherie, R.J. / Adaptive dynamic channel borrowing in road-covering mobile networks. Enschede : University of Twente, Faculty of Mathematical Sciences, 2001. (Memorandum / Faculty of Mathematical Sciences; 1589).
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Ule, A & Boucherie, RJ 2001, Adaptive dynamic channel borrowing in road-covering mobile networks. Memorandum / Faculty of Mathematical Sciences, no. 1589, University of Twente, Faculty of Mathematical Sciences, Enschede.

Adaptive dynamic channel borrowing in road-covering mobile networks. / Ule, A.; Boucherie, R.J.

Enschede : University of Twente, Faculty of Mathematical Sciences, 2001. (Memorandum / Faculty of Mathematical Sciences; No. 1589).

Research output: Book/ReportReportOther research output

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AB - This paper introduces adaptive dynamic channel borrowing strategies for wireless networks covering a road. In a GSM-based model, road traffic prediction models are used to characterise the movement of hot spots, such as occurring in rush hour due to traffic jams moving along a highway, and subsequently to predict the teletraffic load offered to the wireless network. From these results a dynamic upper bound on the capacity required to achieve a specified Quality of Service level in the cells is computed. Restricting borrowing to neighbouring cells to avoid excessive reallocation of capacity, optimal channel borrowing strategies based on traffic movement and traffic density are given. These strategies can be characterised by a straightforward rule of thumb: borrow capacity from the cell on the steeper side of the traffic peak, that makes our strategy easily implementable. Results of a dynamic simulation under realistic load indicate a significant reduction of call blocking probabilities under our optimal channel borrowing strategy.

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KW - MSC-90B18

KW - IR-65776

KW - EWI-3409

KW - MSC-90B20

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BT - Adaptive dynamic channel borrowing in road-covering mobile networks

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Ule A, Boucherie RJ. Adaptive dynamic channel borrowing in road-covering mobile networks. Enschede: University of Twente, Faculty of Mathematical Sciences, 2001. (Memorandum / Faculty of Mathematical Sciences; 1589).