协作无线网络中基于遗传算法的联合中继选择与认知频谱接入机制

he paper focuses on jointly optimal relay selection and cognitive spectrum access in hspace{1mm}cooperative hspace{1mm}wireless hspace{1mm}networks hspace{1mm}with hspace{1mm}multiple hspace{1mm}source hspace{1mm}nodes, multiple hspace{1mm}destination hspace{1.5mm}nodes, multiple hspace{0.5mm}potential hspace{0.5mm}relay hspace{0.5mm}nodes, hspace{0.5mm}and hspace{0.5mm}multiple sub-channels; The problem can be proven to be NP-HARD. Based on genetic algorithm, we design a low-computational-complexity scheme of joint hspace{1mm}relay hspace{1mm}selection hspace{1mm}and hspace{1mm}cognitive hspace{1mm}spectrum hspace{1mm}access. hspace{1mm}Simulation hspace{1mm}results hspace{1mm}indicate hspace{1mm}that, the scheme converges hspace{0.5mm}very hspace{0.5mm}fast hspace{0.5mm}in hspace{0.5mm}practice hspace{0.5mm}with hspace{0.5mm}achievable hspace{0.5mm}sum-capacity on average higher than 98.5% of the global optimum.