Multi-Dimensional Resource Allocation for Covert Communications in Multi-Beam Low-Earth-Orbit Satellite Systems
Abstract
:1. Introduction
- To meet the transmission requirements of various user equipments, we investigate how to utilize a multi-dimensional resource allocation strategy in the multi-beam LEO satellite network. Unlike existing works, we additionally consider the covert transmission requirements and examine their impact on satellite resource allocation.
- We derive the uplink covert transmission constraint and formulate the design of the multi-beam LEO satellite resource allocation strategy as an optimization problem. In our formulation, we jointly optimize satellite beam-hopping scheduling, frequency resource allocation, and transmit power of user equipments at different time slots.
- To efficiently find a solution, we first employ linearization techniques to transform the optimization problem into a MILP problem. Subsequently, we apply a machine learning-based method, specifically a Tree Markov Decision Process algorithm, to solve this MILP problem. Simulation results demonstrate that our approach is effective.
2. System Model and Problem Formulation
2.1. Satellite Channel Model
2.2. Covert Communication Model
2.3. Problem Formulation
3. TMDP-Based Resource Allocation Algorithm and Problem Linearization
3.1. TMDP-Based Resource Allocation Algorithm
3.2. Optimization Problem Linearization
4. Simulation Results
5. Conclusions
Author Contributions
Funding
Data Availability Statement
Conflicts of Interest
References
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Parameter | Symbol | Value |
---|---|---|
Number of UEs | I | 5 |
Number of CUEs | J | 2 |
Number of bands | M | 2 |
Bandwidth | B | 400 MHz |
Number of beam areas | N | 5 |
Number of beams | 3 | |
Transmit power | [10 W 100 W] | |
Number of time slots | T | 5 |
Length of each time slot | 10 ms | |
Rate threshold for NUEs | D | 4 Mbps |
Signal carrier frequency | f | 20 GHz |
LEO satellite altitude | H | 1000 km |
GEO satellite altitude | 35,786 km | |
3 dB beam angel | ||
Beam radius | r | 87 km |
Receiving antenna gain | 30 dB | |
Eavesdropper antenna gain | 40 dB | |
Transmitting antenna gain | 20 dB | |
Noise power of LEO channel | −90 dBW | |
Noise power of GEO channel | −90 dBW | |
Covertness parameter | 0.1 |
01011 | 00111 | 10011 | 01011 | 10011 |
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Wang, R.; Chen, M.; Xu, L.; Wen, Z.; Wei, Y.; Li, S. Multi-Dimensional Resource Allocation for Covert Communications in Multi-Beam Low-Earth-Orbit Satellite Systems. Electronics 2024, 13, 3561. https://doi.org/10.3390/electronics13173561
Wang R, Chen M, Xu L, Wen Z, Wei Y, Li S. Multi-Dimensional Resource Allocation for Covert Communications in Multi-Beam Low-Earth-Orbit Satellite Systems. Electronics. 2024; 13(17):3561. https://doi.org/10.3390/electronics13173561
Chicago/Turabian StyleWang, Renge, Minghao Chen, Luyan Xu, Zhong Wen, Yiyang Wei, and Shice Li. 2024. "Multi-Dimensional Resource Allocation for Covert Communications in Multi-Beam Low-Earth-Orbit Satellite Systems" Electronics 13, no. 17: 3561. https://doi.org/10.3390/electronics13173561