Control-Oriented Deep Space Communications for Unmanned Space Exploration

被引:0
作者
Fang, Xinran [1 ]
Feng, Wei [1 ]
Chen, Yunfei [2 ]
Ge, Ning [1 ]
Zheng, Gan [3 ]
机构
[1] Tsinghua Univ, Dept Elect Engn, State Key Lab Space Network & Commun, Beijing 100084, Peoples R China
[2] Univ Durham, Dept Engn, Durham DH1 3LE, England
[3] Univ Warwick, Sch Engn, Coventry CV4 7AL, W Midlands, England
基金
中国国家自然科学基金;
关键词
Space vehicles; Robot sensing systems; Robots; Sensors; Earth; Space missions; Deep-space communications; Linear quadratic regulator (LQR) cost; mother-daughter system; power allocation; sensing-communication-computing-control (SC3) loop; unmanned space exploration; RESOURCE-ALLOCATION; NETWORK; CONSTRAINTS; SYSTEM;
D O I
10.1109/TWC.2024.3414854
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
In unmanned space exploration, the cooperation among space robots requires advanced communication techniques. In this paper, we propose a communication optimization scheme for a specific cooperation system named the "mother-daughter system". In this setup, the mother spacecraft orbits the planet, while daughter probes are distributed across the planetary surface. During each control cycle, the mother spacecraft senses the environment, computes control commands and distributes them to daughter probes for actions. They synergistically form sensing-communication-computing-control ( SC3 ) loops. Given the indivisibility of the SC3 loop, we optimize the mother-daughter downlink for closed-loop control. The optimization objective is the linear quadratic regulator (LQR) cost, and the optimization parameters are the block length and transmit power. To solve the nonlinear mixed-integer problem, we first identify the optimal block length and then transform the power allocation problem into a tractable convex problem. We further derive the approximate closed-form solutions for the proposed scheme and two communication-oriented schemes: the max-sum rate scheme and the max-min rate scheme. On this basis, we analyze their power allocation principles. In particular, for time-insensitive control tasks, we find that the proposed scheme demonstrates equivalence to the max-min rate scheme. These findings are verified through simulations.
引用
收藏
页码:14466 / 14481
页数:16
相关论文
共 43 条
  • [1] Ali H. Q., 2024, IEEE Trans. Commun.
  • [2] [Anonymous], 2020, document TR 38.811
  • [3] Control and communication challenges in networked real-time systems
    Baillieul, John
    Antsaklis, Panos J.
    [J]. PROCEEDINGS OF THE IEEE, 2007, 95 (01) : 9 - 28
  • [4] Dynamic Communication QoS Design for Real-Time Wireless Control Systems
    Chang, Bo
    Zhao, Guodong
    Zhang, Lei
    Imran, Muhammad Ali
    Chen, Zhi
    Li, Liying
    [J]. IEEE SENSORS JOURNAL, 2020, 20 (06) : 3005 - 3015
  • [5] Cover T. M., 1991, ELEMENTS INFORM THEO
  • [6] DTN Architecture With Resource-Aware Rate Adaptation for Multiple Bundle Transmission in InterPlanetary Networks
    De Rango, Floriano
    Tropea, Mauro
    [J]. IEEE ACCESS, 2022, 10 : 47219 - 47234
  • [7] Drobczyk M, 2018, INT CONF WIREL SPAC, P89, DOI 10.1109/WiSEE.2018.8637342
  • [8] Control Aware Radio Resource Allocation in Low Latency Wireless Control Systems
    Eisen, Mark
    Rashid, Mohammad M.
    Gatsis, Konstantinos
    Cavalcanti, Dave
    Himayat, Nageen
    Ribeiro, Alejandro
    [J]. IEEE INTERNET OF THINGS JOURNAL, 2019, 6 (05): : 7878 - 7890
  • [9] Structured Satellite-UAV-Terrestrial Networks for 6G Internet of Things
    Feng, Wei
    Wang, Yanmin
    Chen, Yunfei
    Ge, Ning
    Wang, Cheng-Xiang
    [J]. IEEE NETWORK, 2024, 38 (04): : 48 - 54
  • [10] Radio Map-Based Cognitive Satellite-UAV Networks Towards 6G On-Demand Coverage
    Feng, Wei
    Lin, Yueshan
    Wang, Yanmin
    Wang, Jue
    Chen, Yunfei
    Ge, Ning
    Jin, Shi
    Zhu, Hongbo
    [J]. IEEE TRANSACTIONS ON COGNITIVE COMMUNICATIONS AND NETWORKING, 2024, 10 (03) : 1075 - 1089