Resource allocation algorithm for multi-beam LEO satellite based on decision performance evaluation

WANG Chaowei; PANG Mingliang; WANG Su; ZHAO Lingli; GAO Feifei; CUI Gaofeng; WANG Weidong

doi:10.11959/j.issn.1000-436x.2024040

您当前的位置：

首页 >

文章列表页 >

Resource allocation algorithm for multi-beam LEO satellite based on decision performance evaluation

Topics：Low Earth Orbit Satellite Internet | 更新时间：2024-08-09

- Resource allocation algorithm for multi-beam LEO satellite based on decision performance evaluation
- Journal on Communications Vol. 45, Issue 7, Pages: 37-47(2024)
- 作者机构：
  
  1.北京邮电大学电子工程学院，北京 100875
  2.中国移动通信集团有限公司，北京 100032
  3.清华大学自动化系，北京 100084
- 作者简介：
- 基金信息：
  
  The Natural Science Foundation of Chongqing(CSTB2023NSCQ-LZX0118);BUPT Excellent Ph.D. Students Foundation(CX2023139)
- DOI：10.11959/j.issn.1000-436x.2024040
  CLC： TN927
- Received：24 October 2023，
  
  Revised：2024-02-02，
  
  Published：25 July 2024
- 稿件说明：
移动端阅览
王朝炜,庞明亮,王粟等.基于决策性能评估的多波束低地球轨道卫星网络资源分配算法[J].通信学报,2024,45(07):37-47.

WANG Chaowei,PANG Mingliang,WANG Su,et al.Resource allocation algorithm for multi-beam LEO satellite based on decision performance evaluation[J].Journal on Communications,2024,45(07):37-47.
王朝炜,庞明亮,王粟等.基于决策性能评估的多波束低地球轨道卫星网络资源分配算法[J].通信学报,2024,45(07):37-47. DOI： 10.11959/j.issn.1000-436x.2024040.

WANG Chaowei,PANG Mingliang,WANG Su,et al.Resource allocation algorithm for multi-beam LEO satellite based on decision performance evaluation[J].Journal on Communications,2024,45(07):37-47. DOI： 10.11959/j.issn.1000-436x.2024040.

摘要

为了解决多波束低地球轨道（LEO）卫星波束间同频干扰、频谱短缺、业务量分布不均等问题，针对单一决策网络缺乏自我修正能力、容易陷入局部最优解、无法充分考虑长期影响等弊端，提出了一种基于决策性能评估的资源分配算法。该算法引入不同用户的业务满足指数来衡量系统的公平性，在考虑公平性的前提下优化系统的吞吐量性能，并将该优化问题建模为多目标优化问题。将具有时间相关性的连续资源分配过程建模为马尔可夫过程，提出基于决策性能评估的网络资源分配算法来解决该问题。所提算法可以根据评估网络的评估结果调整决策网络参数，从而优化资源分配方案，同时更新评估网络自身参数。通过迭代优化的方式，实现决策网络的准确预测。仿真结果表明，所提算法在吞吐量性能和公平性方面优于传统资源分配算法。

Abstract

To address challenges such as co-frequency interference

spectrum scarcity

and uneven traffic distribution in multi-beam LEO satellites

a resource allocation algorithm based on decision performance evaluation was proposed. The system fairness was measured by a user satisfaction index and the system throughput was optimized while considering fairness. The optimization problem was modeled as a multi-objective optimization. The continuous resource allocation process with temporal correlation was modeled as a Markov decision process

and a decision-evaluation dual-network algorithm was proposed to solve it. The decision network parameters were adjusted based on evaluation network results to optimize resource allocation and update the evaluation network parameters. Through iterative optimization

the decision network achieved accurate predictions. Simulation results show that the proposed algorithm outperforms traditional resource allocation algorithms in terms of throughput and fairness.

关键词

Keywords

references

YANG Z , HUSSEIN J A , XU P , et al . A novel hybrid successive interference cancellation for uplink wireless power transfer NOMA in Internet of things [J ] . IEEE Transactions on Vehicular Technology , 2023 , 72 ( 5 ): 6090 - 6102 .

YANG Z , XU P , CHEN G J , et al . Performance analysis of IRS-assisted NOMA networks with randomly deployed users [J ] . IEEE Systems Journal , 2023 , 17 ( 2 ): 1853 - 1864 .

许国良 , 谭峰 , 冉泳屹 , 等 . 面向多波束卫星系统的波束跳变与覆盖控制联合优化算法 [J ] . 通信学报 , 2023 , 44 ( 4 ): 78 - 86 .

XU G L , TAN F , RAN Y Y , et al . Joint beam hopping and coverage control optimization algorithm for multibeam satellite system [J ] . Journal on Communications , 2023 , 44 ( 4 ): 78 - 86 .

JOROUGHI V , VÁZQUEZ M Á , PÉREZ-NEIRA A I . Generalized multicast multibeam precoding for satellite communications [J ] . IEEE Transactions on Wireless Communications , 2017 , 16 ( 2 ): 952 - 966 .

LIN Z , AN K , NIU H H , et al . SLNR-based secure energy efficient beamforming in multibeam satellite systems [J ] . IEEE Transactions on Aerospace and Electronic Systems , 2023 , 59 ( 2 ): 2085 - 2088 .

RAMÍREZ T , MOSQUERA C . Resource management in the multibeam NOMA-based satellite downlink [C ] // Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing . Piscataway : IEEE Press , 2020 : 8812 - 8816 .

STOREK K U , KNOPP A . Fair user grouping for multibeam satellites with MU-MIMO precoding [C ] // Proceedings of the IEEE Global Communications Conference . Piscataway : IEEE Press , 2017 : 1 - 7 .

ZHONG K Y , CHENG Y J , YANG H N , et al . LEO satellite multibeam coverage area division and beamforming method [J ] . IEEE Antennas and Wireless Propagation Letters , 2021 , 20 ( 11 ): 2115 - 2119 .

尹展 , 孙晨华 . 多波束卫星移动通信系统的同频干扰研究 [J ] . 无线电通信技术 , 2016 , 42 ( 2 ): 23 - 26 .

YIN Z , SUN C H . Research of co-frequency interference in multi-beam satellite mobile communication system [J ] . Radio Communications Technology , 2016 , 42 ( 2 ): 23 - 26 .

PARK U , KIM H W , OH D S , et al . Flexible bandwidth allocation scheme based on traffic demands and channel conditions for multi-beam satellite systems [C ] // Proceedings of the IEEE Vehicular Technology Conference . Piscataway : IEEE Press , 2012 : 1 - 5 .

MA S J , HU X , LIAO X L , et al . Deep reinforcement learning for dynamic bandwidth allocation in multi-beam satellite systems [C ] // Proceedings of the IEEE 6th International Conference on Computer and Communication Systems . Piscataway : IEEE Press , 2021 : 955 - 959 .

WU H , LI J , LU H C , et al . A two-layer caching model for content delivery services in satellite-terrestrial networks [C ] // Proceedings of the IEEE Global Communications Conference . Piscataway : IEEE Press , 2016 : 1 - 6 .

LIU S J , HU X , WANG Y P , et al . Distributed caching based on matching game in LEO satellite constellation networks [J ] . IEEE Communications Letters , 2018 , 22 ( 2 ): 300 - 303 .

DORO S , GALLUCCIO L , MORABITO G , et al . SatCache: a profile-aware caching strategy for information-centric satellite networks [J ] . Transactions on Emerging Telecommunications Technologies , 2014 , 25 ( 4 ): 436 - 444 .

廖卫东 . LEO卫星系统中数据存储与转发策略研究 [D ] . 北京 : 北京邮电大学 , 2018 .

LIAO W D . The research on data storage and forwarding strategy in LEO satellite system [D ] . Beijing : Beijing University of Posts and Telecommunications , 2018 .

SRIVASTAVA N K , CHATURVEDI A K . Flexible and dynamic power allocation in broadband multi-beam satellites [J ] . IEEE Communications Letters , 2013 , 17 ( 9 ): 1722 - 1725 .

YANG Z , HUSSEIN J A , XU P , et al . Power allocation study for non-orthogonal multiple access networks with multicast-unicast transmission [J ] . IEEE Transactions on Wireless Communications , 2018 , 17 ( 6 ): 3588 - 3599 .

YANG Z , XU P , HUSSEIN J A , et al . Adaptive power allocation for uplink non-orthogonal multiple access with semi-grant-free transmission [J ] . IEEE Wireless Communications Letters , 2020 , 9 ( 10 ): 1725 - 1729 .

DESTOUNIS A , PANAGOPOULOS A D . Dynamic power allocation for broadband multi-beam satellite communication networks [J ] . IEEE Communications Letters , 2011 , 15 ( 4 ): 380 - 382 .

JIA M , ZHANG X M , GU X M , et al . Interbeam interference constrained resource allocation for shared spectrum multibeam satellite communication systems [J ] . IEEE Internet of Things Journal , 2019 , 6 ( 4 ): 6052 - 6059 .

CHEN R , HU X , LI X H , et al . Optimum power allocation based on traffic matching service for multi-beam satellite system [C ] // Proceedings of the 5th International Conference on Computer and Communication Systems . Piscataway : IEEE Press , 2020 : 655 - 659 .

ABDU T S , LAGUNAS E , KISSELEFF S , et al . Carrier and power assignment for flexible broadband GEO satellite communications system [C ] // Proceedings of the IEEE 31st Annual International Symposium on Personal, Indoor and Mobile Radio Communications . Piscataway : IEEE Press , 2020 : 1 - 7 .

ZHANG P , WANG X H , MA Z G , et al . Joint optimization of satisfaction index and spectrum efficiency with cache restricted for resource allocation in multi-beam satellite systems [J ] . China Communications , 2019 , 16 ( 2 ): 189 - 201 .

EFREM C N , PANAGOPOULOS A D . Dynamic energy-efficient power allocation in multibeam satellite systems [J ] . IEEE Wireless Communications Letters , 2019 , 9 ( 2 ): 228 - 231 .

ARAVANIS A I , SHANKAR M R B , ARAPOGLOU P D , et al . Power allocation in multibeam satellite systems: a two-stage multi-objective optimization [J ] . IEEE Transactions on Wireless Communications , 2015 , 14 ( 6 ): 3171 - 3182 .

KISSELEFF S , SHANKAR B , SPANO D , et al . A new optimization tool for mega-constellation design and its application to trunking systems [C ] // Proceedings of the Advances in Communications Satellite Systems . Proceedings of the 37th International Communications Satellite Systems Conference (ICSSC-2019) . London : IET , 2019 : 1 - 15 .[LinkOut ]

张沛 , 刘帅军 , 马治国 . 基于深度增强学习和多目标优化改进的卫星资源分配算法 [J ] . 通信学报 , 2020 , 41 ( 6 ): 51 - 60 .

ZHANG P , LIU S J , MA Z G . Improved satellite resource allocation algorithm based on DRL and MOP [J ] . Journal on Communications , 2020 , 41 ( 6 ): 51 - 60 .

DING Z M , SHEN L F , CHEN H Y , et al . Energy-efficient relay-selection-based dynamic routing algorithm for IoT-oriented software-defined WSNs [J ] . IEEE Internet of Things Journal , 2020 , 7 ( 9 ): 9050 - 9065 .

DING Z M , SHEN L F , CHEN H Y , et al . Energy-efficient topology control mechanism for IoT-oriented software-defined WSNs [J ] . IEEE Internet of Things Journal , 2023 , 10 ( 15 ): 13138 - 13154 .

DING Z M , SHEN L F , CHEN H Y , et al . Residual-energy aware modeling and analysis of time-varying wireless sensor networks [J ] . IEEE Communications Letters , 2021 , 25 ( 6 ): 2082 - 2086 .

LIU F , YAN J . Optimal power allocation strategy for multi-target wireless wideband localization system via genetic algorithm [C ] // Proceedings of the 2019 International Conference on Computer, Information and Telecommunication Systems (CITS) . Piscataway : IEEE Press , 2019 : 1 - 4 .

Views

1152

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Dynamic task scheduling method for relay satellite networks based on hierarchical reinforcement learning

Optimization of air-ground cooperative communication performance for UAV-mounted STAR-RIS

GAT-based decision mechanism for decentralized joint routing and spectrum access

Multi-cluster computing power resource scheduling algorithm based on DDPG reinforcement learning

Task offloading and resource allocation strategy for vehicular edge computing assisted by intelligent reflecting surfaces

Related Author

Runzi LIU

Tianci MA

Weihua WU

Chenhong YAO

Qinghai YANG

Han Zhengjiang

Zhou Tao

Wang Erfu

Related Institution

School of Information and Control Engineering, Xi’an University of Architecture and Technology

School of Physics and Information Technology, Shaanxi Normal University

School of Telecommunications Engineering, Xidian University

Electronic Engineering College, Heilongjiang University

Systems Engineering Institute, Academy of Military Science

AI问答

⁰