Neural Network Method for Efficient channel Assignment of Cellular Mobile Radio Network

셀룰러 이동 통신망의 효율적인 채널할당을 위한 신경회로망 방식의 적용

  • 김태선 (인하대학교 전기공학과) ;
  • 곽성식 (인하대학교 전기공학과) ;
  • 이종호 (인하대학교 전기공학과)
  • Published : 1993.10.01

Abstract

This paper presents the two-stage neural network method for efficient channel assignment of cellular mobile radio network. The first stage decomposes the region into non-adjacent groups of cells and the second stage assigns channels to the decomposed groups. The neural network model is tested with an experimental system of eighteen channels dedicated for nineteen hexagonal-cell region. When radom call requests of average density of 2 Erl/Cell to 8 Erl/Cell are presented, the real-time channel assignment method reduces the call-blocking rate up to 16% against the existing SCA(Static Channel Assignment) method.

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