基于离散粒子群优化算法的合作感知调度方案

doi:10.11959/j.issn.1000-436x.2017046

Abstract

Abstract:

The statistical characteristics of the network state changes were analyzed by using the CTMC model.Considering the difference of each secondary user’s sensing ability,two integer programming problems on cooperative sensing scheduling scheme were established from two aspects:the primary users and the secondary users respectively.A discrete particle swarm optimization algorithm was proposed to solve the integer programming problems,and compared with the traditional random scheduling scheme and greedy scheduling scheme based on SNR.The simulation results show that the cooperative sensing scheduling scheme based on discrete particle swarm optimization algorithm is superior to random scheduling scheme and greedy scheduling scheme based on the SNR,which gets a higher spectrum sensing accuracy.

Key words: cognitive radio, cognitive radio network with multiple licensed network, cooperative sensing scheduling, discrete particle swarm optimization

CLC Number:

TN925

Xing ZHANG,Ye WANG,Yi YANG,Qin-yu ZHANG. Cooperative spectrum sensing scheduling scheme based on discrete particle swarm optimization algorithm[J]. Journal on Communications, 2017, 38(7): 175-185.

Figures/Tables 14

参数	含义	取值
M	LN个数	3
N_m	各个LN共享的信道数	4,4,4]
K	参与感知的SU个数	6
N_RFC	每个SU感知的LN个数	2
$λ_{p}^{m}$ /(个·s^-1)	PU的到达速率	0.5,0.5,0.5]
$μ_{p}^{m}$ /(个·s^-1)	PU的离开速率	0.5,0.5,0.5]
λ_s/(个·s^-1)	SU的到达速率	1
μ_s/(个·s^-1)	SU的离开速率	0.5
h_BS/m	基站高度	32
h_MS/m	SU的高度	1.5
F_m/MHz	LN的中心频率	1 900,2 300,3 400]
N	粒子群大小	100

References 13

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