Quantum-Satellite Resource-Scheduling Strategy Based on Hybrid-Immunity and Simulated-Annealing Algorithm

Caihong Dang; Min Nie

doi:10.3788/LOP240585

Laser & Optoelectronics Progress, Volume. 61, Issue 21, 2127004(2024)

Quantum-Satellite Resource-Scheduling Strategy Based on Hybrid-Immunity and Simulated-Annealing Algorithm

Caihong Dang^* and Min Nie

School of Communication and Information Engineering, Xi'an University of Posts and Telecommunication, Xi'an 710121, Shaanxi , China

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Fig. 1. User aggregation scenarios with low-orbit quantum satellite systems

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Fig. 2. Variation of total attenuation of optical quantum signal transmission under X-ray flare interference

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Fig. 3. Variation of the objective function with the number of iterations for different quantum satellite systems

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Fig. 4. Variation of scheduling time of different quantum satellite resources with the number of users

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Fig. 5. Variation of the number of users with different quantum satellites and the number of algorithm iterations

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Fig. 6. Variation in the number of users accessing LEO1 with different decision attributes

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Fig. 7. Load balancing degree of quantum satellites with different algorithms

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Table 1. Decoding table for quantum satellite distribution programme
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Table 1. Decoding table for quantum satellite distribution programme
Satellite number 1 2 3
Users 2，7，8 3，5，9 1，4，6，10

Table 2. Quantum satellite-related parameters

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Table 2. Quantum satellite-related parameters

Parameter	Value
Orbital height /km	500
Number of orbital planes	6
Total number of satellites	66
Track inclination /（°）	84.6
Output power /dBm	45
Transmitter antenna gain /dBi	50
Carrier frequencies /GHz	3.5
Number of channels	500
Minimum elevation angle /（°）	1

Table 3. Algorithm-related parameter settings
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Table 3. Algorithm-related parameter settings
Parameter Value
$T_{e n d}$ 1
$T_{s t a r t}$ 100
$ϖ$ 0.99
$γ^{'}$ rand（0，1）
$s_{s i z e}$ 200

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Caihong Dang, Min Nie. Quantum-Satellite Resource-Scheduling Strategy Based on Hybrid-Immunity and Simulated-Annealing Algorithm[J]. Laser & Optoelectronics Progress, 2024, 61(21): 2127004

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