Search Books

Base station location and channel allocation in a cellular network with emergency coverage requirements [An article from: European Journal of Operational Research]

Author M.R. Akella, R. Batta, E.M. Delmelle, P. Rogerson
Publisher Elsevier
📄 Viewing lite version Full site ›
🌎 Shop on Amazon — choose country
5.95 USD
🛒 Buy New on Amazon 🇺🇸

✓ Available for download now

Share:
Book Details
PublisherElsevier
ISBN / ASINB000RR65DW
ISBN-13978B000RR65D9
AvailabilityAvailable for download now
MarketplaceUnited States 🇺🇸

Description

This digital document is a journal article from European Journal of Operational Research, published by Elsevier in . The article is delivered in HTML format and is available in your Amazon.com Media Library immediately after purchase. You can view it with any web browser.

Description:
The location of base stations (BS) and the allocation of channels are of paramount importance for the performance of cellular radio networks. Also cellular service providers are now being driven by the goal to enhance performance, particularly as it relates to the receipt and transmission of emergency crash notification messages generated by automobile telematics systems. In this paper, a Mixed Integer Programming (MIP) problem is proposed, which integrates into the same model the base station location problem, the frequency channel assignment problem and the emergency notification problem. The purpose of unifying these three problems in the same model is to treat the tradeoffs among them, providing a higher quality solution to the cellular system design. Some properties of the formulation are proposed that give us more insight into the problem structure. An instance generator is developed that randomly creates test problems. A few greedy heuristics are proposed to obtain quick solutions that turn out to be very good in some cases. To further improve the optimality gap, we develop a Lagrangean heuristic technique that builds on the solution obtained by the greedy heuristics. Finally, the performance of these methods is analyzed by extensive numerical tests and a sample case study is presented.