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METHOD FOR OPTIMIZING TRANSMISSION PARAMETERS AND WEIGHT VECTOR BASED ON GENETIC ALGORITHM FOR IMPLEMENTING DYNAMIC SPECTRUM ACCESS COGNITIVE ENGINE APPARATUS AND COGNITIVE RADIO SYSTEM USING THE METHOD
METHOD FOR OPTIMIZING TRANSMISSION PARAMETERS AND WEIGHT VECTOR BASED ON GENETIC ALGORITHM FOR IMPLEMENTING DYNAMIC SPECTRUM ACCESS COGNITIVE ENGINE APPARATUS AND COGNITIVE RADIO SYSTEM USING THE METHOD
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机译：基于遗传算法的动态光谱访问认知引擎和认知无线电系统优化传输参数和权向量的方法
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摘要
A genetic algorithm-based transmission parameter optimization method for implementing the dynamic spectrum access of the present invention continuously acquires spectrum sensing information on occupied bands and idle narrow bands in which a primary user (PU) signal exists over the entire spectrum Obtaining a possible candidate values of the transmission parameters to be optimized, performing a gene selection, mating, mutation and mutation according to a fitness value obtained by calculating a multipurpose fitness function for a gene bit string combining indexes of candidate values of the obtained transmission parameters. Selecting the genetic bitstreams for each generation by performing an alternative operation and calculating transmission parameter values corresponding to the genetic bit stream that maximizes the multipurpose fitness function as optimal transmission parameter values, wherein the transmission parameters include an equivalent isotropic radiated power EIRP , A modulation index M, an idle narrowband bandwidth W (k), and a secondary user (SU) signal bandwidth B s , wherein the multipurpose fitness function is weighted by a single purpose fitness function with respect to bandwidth utilization, data rate, It is sum.
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机译：用于实现本发明的动态频谱接入的基于遗传算法的传输参数优化方法，连续获取在整个频谱上都存在主用户（PU）信号的占用频段和空闲窄带上的频谱感知信息，获得可能的候选值根据将通过计算获得的传输参数的候选值的索引来计算基因比特串的多功能适应度函数而获得的适应度值，来对要优化的传输参数进行优化，进行基因选择，交配，突变和突变。通过执行替代操作并计算与遗传比特流相对应的传输参数值来为每一代选择遗传比特流，该遗传参数流将多用途适应度函数最大化，作为最佳传输参数值，其中，传输参数包括等效各向同性辐射功率EIRP，调制指数M，空闲窄带带宽W（k）和次用户（SU）信号带宽B s ，其中，针对带宽利用率，数据，通过单用途适应度函数对多功能适应度函数进行加权率，是总和。
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