2007
DOI: 10.1155/2007/714741
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A Simulated Annealing Based Location Area Optimization in Next Generation Mobile Networks

Abstract: Abstract. Mobile networks have faced rapid increase in the number of mobile users and the solution for supporting the growing population is to reduce the cell sizes and to increase the bandwidth reuse. This will cause the number of location management operations and call deliveries to increase significantly, and result in high signaling overhead. We focus on minimizing this overhead, by efficient Location Area Planning (LAP). In this paper we seek to determine the location areas to achieve the minimization of … Show more

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Cited by 5 publications
(2 citation statements)
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References 21 publications
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“…In Chapter 2 we give a brief on the mobility models, and in Chapter 3 we summarize their applications in mobility prediction, Call Admission Control, etc. [22].…”
Section: Introductionmentioning
confidence: 99%
“…In Chapter 2 we give a brief on the mobility models, and in Chapter 3 we summarize their applications in mobility prediction, Call Admission Control, etc. [22].…”
Section: Introductionmentioning
confidence: 99%
“…Most of the proposed schemes limit the LA size in order to bound the LA paging cost, and seek heuristics for LA planning that minimize the system overall update cost [5---11]. These heuristics utilize sophisticated variants of exhaustive search and employ different algorithmic tools such as genetic algorithms [6,7], taboo search [5,6], simulated annealing [6,8,9,10], and grouping genetic algorithms [11,5]. They do not have polynomial running time and the quality of the found solutions depend on the duration of the execution.…”
Section: Introductionmentioning
confidence: 99%