CAJ | 학술논문

选择次用户是协作频谱感知的一个关键环节。针对次用户选择问题的特点，在基本人工鱼群算法AFSA基础上，通过取消鱼群密度、取消人工鱼的随机游动、改变公告板记录规则、保留每次迭代最优位置、增加最优人工鱼的觅食次数并缩小视野提出改进的人工鱼群算法次用户选择策略。仿真结果表明，对于最优次用户组选择问题，本文提出的修正AFSA在寻优成功率和运行时间等方面优于传统的AFSA。
선택차용호시협작빈보감지적일개관건배절。침대차용호선택문제적특점，재기본인공어군산법AFSA기출상，통과취소어군밀도、취소인공어적수궤유동、개변공고판기록규칙、보류매차질대최우위치、증가최우인공어적멱식차수병축소시야제출개진적인공어군산법차용호선택책략。방진결과표명，대우최우차용호조선택문제，본문제출적수정AFSA재심우성공솔화운행시간등방면우우전통적AFSA。
The selection of secondary users is the key technology in cooperation spectrum sensing. For the characteristics of user selection, based on the basic artificial fish swarm algorithm (AFSA), an improved AFSA is proposed to achieve the optimal user selection by cancelling fish swarm density and random mobility of artificial fish, changing the record rules of bulletin board, retaining the optimal position of each iteration, increasing feeding times of optimal artificial fish, and decreasing search vision. Simulation results show that, for the problem of optimal user selection, the proposed algorithm outperforms the traditional AFSA subject to the rate of searching the optimization solution and run-time.