본 논문에서는 유전자 알고리즘을 기반으로 한 새로운 다중사용자 복조기를 제안하고, 최적(optimum) 다중사용자 복조기의 Hopfield 신경망 다중사용자 복조기를 비교 대상으로 하여 원근문제가 존재하는 환경에서 컴퓨터 시뮬레이션을 통해서 비트오율 성능을 비교하였다. 시뮬레이션 결과, 원근문제에 존재하는 채널환경에서는 본 논문에서 제안한 구조는 상당히 적은 계산량으로 최적의 다중사용자 복조기와 Hopfield 다중사용자 복조기와 근접한 성능을 기대할 수 있었고, 원근문제가 존재하지 않는 경우에서는 Hopfield 신경망구조보다 우월한 성능향상을 얻을 수 있었다.
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