• Title/Summary/Keyword: reporting cell location management (RCLM)

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Optimal Design of Reporting Cell Location Management System using Simulated annealing System (시뮬레이티드어닐링을 이용한 리포팅셀 위치관리시스템 최적 설계)

  • Kim, Sung-Soo;Moon, Jae-Ki
    • Journal of Industrial Technology
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    • v.28 no.B
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    • pp.9-14
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    • 2008
  • In the Reporting Cell Location Management (RCLM) system, a subset of cells in the network is designated as the reporting cells. Each mobile terminal performs location update only when it enters one of these reporting cells. When a call arrives, the paging is confined to the reporting cell the user last reported and the neighboring bounded non-reporting cells. Frequent location update may result in degradation of quality of service due to interference. Miss on the location of a mobile terminal will necessitate a search operation on the network when a call comes in. We must decide the number of reporting cells and which cell should be reporting cell to balance the registration (location update) and search (paging) operations to minimize the cost of RCLM system. This paper proposes a simulated annealing (SA) for optimization of RCLM system.

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Optimal Design of Reporting Cell Location Management System using Ranking Ant Colony System (랭킹개미군전략을 이용한 리포팅셀 위치관리시스템 최적 설계)

  • Kim, Sung-Soo;Kim, Geun-Bae
    • IE interfaces
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    • v.19 no.2
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    • pp.168-173
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    • 2006
  • In the Reporting Cell Location Management (RCLM) system, a subset of cells in the network is designated as the reporting cells. Each mobile terminal performs location update only when it enters one of these reporting cells. When a call arrives, the paging is confined to the reporting cell the user last reported and the neighboring bounded non-reporting cells. Frequent location update may result in degradation of quality of service due to interference. Miss on the location of a mobile terminal will necessitate a search operation on the network when a call comes in. We must decide the number of reporting cells and which cell should be reporting cell to balance the registration (location update) and search (paging) operations to minimize the cost of RCLM system. This paper proposes a ranking ant colony system (RACS) for optimization of RCLM system.

Optimal Design of Reporting Cell Location Management System Using BPSO (BPSO를 이용한 리포팅 셀 위치관리시스템 최적 설계)

  • Byeon, Ji-Hwan;Kim, Sung-Soo
    • Korean Management Science Review
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    • v.28 no.2
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    • pp.53-62
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    • 2011
  • The objective of this paper is to propose a Binary Particle Swarm Optimization(BPSO) for design of reporting cell management system. The assignment of cells to reporting or non-reporting cells is an NP-complete problem having an exponential complexity in the Reporting Cell Location Management(RCLM) system. The number of reporting cells and which cell must be reporting cell should be determined to balance the registration(location update) and search(paging) operations to minimize the cost of RCLM system. Experimental results demonstrate that BPSO is an effective and competitive approach in fairly satisfactory results with respect to solution quality and execution time for the optimal design of location management system.

Hybrid Method of Max-Min Ant System and Rank-based Ant System for Optimal Design of Location Management in Wireless Network (무선통신네트워크에서 위치관리 최적설계를 위한 최대-최소개미시스템과 랭크개미시스템의 혼합 방법)

  • Kim, Sung-Soo;Kim, Hyung-Jun;An, Jun-Sik;Kim, Il-Hwan
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.56 no.7
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    • pp.1309-1314
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    • 2007
  • The assignment of cells to reporting or non-reporting cells is an NP-hard problem having an exponential complexity in the Reporting Cell Location Management (RCLM) system. Frequent location update may result in degradation of quality of service due to interference. Miss on the location of a mobile terminal will necessitate a search operation on the network when a call comes in. The number of reporting cells and which cell must be reporting cell should be determined to balance the registration (location update) and search (paging) operations to minimize the cost of RCLM system. T1is paper compares Max-Min ant system (MMAS), rank-based ant system (RAS) and hybrid method of MMAS and RAS that generally used to solve combinatorial optimization problems. Experimental results demonstrate that hybrid method of MMAS and RAS is an effective and competitive approach in fairly satisfactory results with respect to solution quality and execution time for the optimal design of location management system.