CAJ | 학술논문

针对颜色敏感图论着色频谱分配算法一般只应用于静态网络的问题,基于频谱分配的图论模型及颜色敏感图论着色频谱分配原理,提出了一种改进的最大化系统总收益规则下的动态频谱分配算法,并进行了仿真实验,对比分析了原有算法与新算法的性能.仿真结果表明,改进的算法虽然使认知网络总效益有所下降,但大幅度减少了时间开销,提高了系统的时效性.
침대안색민감도론착색빈보분배산법일반지응용우정태망락적문제,기우빈보분배적도론모형급안색민감도론착색빈보분배원리,제출료일충개진적최대화계통총수익규칙하적동태빈보분배산법,병진행료방진실험,대비분석료원유산법여신산법적성능.방진결과표명,개진적산법수연사인지망락총효익유소하강,단대폭도감소료시간개소,제고료계통적시효성.
Aimed at the problem that the color sensitive graph coloring algorithm of spectrum allocation holds true generally for a static network, this paper proposes a modified dynamic spectrum allocation strategy on the rule of maximization overall gains, based on dealing with the graph theory model of spectrum allocation and its allocation principles of coloring spectrum by color sensitive graph theory, and analyzes comparatively the performances on the previous algorithm and the new one by simulation. Simulation results show that the modified algorithm could reduce the overall benefit of cognitive network a bit, but lower greatly the expense of time and improve the timeliness of systems.