利用多目标PSO优化的累积时延和信道容量联合优化的频谱切换算法

doi:10.11959/j.issn.1000-0801.2018114

Abstract

Abstract:

At present,a single target optimization function is often used in channel design.While in order to meet the large capacity real-time transmission,it is necessary to consider the cumulative delay and channel capacity simultaneously.The multi-objective function of the target channel design was constructed,and discrete multi-objective particle swarm optimization algorithm(DMOPSO) was proposed to solve it.The discretization design of the population coding and updating was given.The simulation results show that the optimal channel set obtained by proposed spectrum handoff algorithm can take into account the real-time and high throughput of the network,while needing the low complexity.

Key words: multi-objective optimization, spectrum handoff,, cumulative delay, channel capacity, particle swarm optimization

Yupei ZHANG,Zhijin ZHAO,Shilian ZHENG. Spectrum handoff method by using joint optimization of cumulative delay and channel capacity based on multi-objective PSO[J]. Telecommunications Science, 2018, 34(7): 62-71.

Figures/Tables 13

References 18

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ER	DMOPSO-S	DMOPSO
最好	0.0	0.0
最差	0.094 5	0.037 0
平均	0.059 6	0.012 6
中位数	0.028 9	0.0
标准差	0.052 1	0.011 8

评价	1	2	3	4	5	6	7	8	9	10
容量增加量	－	1.67%	2.35%	2.56%	2.84%	3.04%	4.00%	4.61%	4.75%	5.16%
时延减少量	－	-0.04%	-0.05%	-0.25%	-0.30%	-0.50%	-2.08%	-2.57%	-3.16%	-3.44%

评价	10	9	8	7	6	5	4	3	2	1
容量增加量	－	-0.39%	-0.52%	-1.10%	-2.01%	-2.21%	-2.47%	-2.67%	-3.31%	-4.90%
时延减少量	－	0.28%	0.84%	1.31%	2.84%	3.03%	3.08%	3.27%	3.29%	3.33%

评价	1	2	3	4	5	6	7	8	9	10
容量增加量	24.95%	27.04%	27.88%	28.15%	28.50%	28.76%	29.95%	30.71%	30.89%	31.40%
时延减少量	12.19%	11.88%	11.24%	10.72%	9.00%	8.79%	8.73%	8.52%	8.50%	8.46%

评价	1	2	3	4	5	6	7	8	9	10
参考文献[10]	-26.67%	-5.71%	-5.71%	0	0	0	0	0	0	0
参考文献[13]	-22.22%	0	0	6.06%	6.06%	6.06%	6.06%	6.06%	6.06%	6.06%
参考文献[17]	82.35%	134.5%	134.5%	148.7%	148.7%	148.7%	148.7%	148.7%	148.7%	148.7%

Spectrum handoff method by using joint optimization of cumulative delay and channel capacity based on multi-objective PSO

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