Performance Analysis of the Distributed Coded Non-orthogonal Multiple Access for Wireless Ad-Hoc Networks

被引:0
|
作者
Huang W. [1 ]
Li X. [1 ]
Yang M. [1 ]
Liang Y. [1 ]
Wu H. [2 ]
机构
[1] School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing
[2] China National Petroleum Corporation Richfit Information & Technology Co., Beijing
来源
Binggong Xuebao/Acta Armamentarii | 2022年 / 43卷 / 12期
关键词
distributed cooperative operation; schedule period; unmanned swarms; wireless ad-hoc network;
D O I
10.12382/bgxb.2021.0803
中图分类号
学科分类号
摘要
Distributed cooperative operations of unmanned platform swarms is the trend of future warfare, which calls for rapid response of the intelligent swarm network. However, there is little research on the analysis of wireless swarm ad-hoc networks and distributed multiple-access schemes with intermittent links in complex and dynamic battlefield environments. To this end, a novel distributed coordinated coded multiple access (DC-CMA) scheme is proposed based on non-orthogonal multiple access techniques. The access code pattern of nodes is more efficient than the ones in previous schemes by reducing sparsity and minimizing the waste of resources. Numerical simulation results show that the proposed DC-CMA scheme can reduce the scheme period duration by 10% to 50% compared to the orthogonal multiple access scheme, and improve the resource efficiency by 5% to 30% . An end-to-end transmission delay test is carried out by using the prototype of wireless ad-hoc network nodes to simulate the distributed collaborative task, and the test results show that the DC-CMA scheme can decrease the mean transmission delay by more than 30%, which supports the rapid response of the distributed cooperative intelligent unmanned swarms. © 2022 China Ordnance Society. All rights reserved.
引用
收藏
页码:3082 / 3092
页数:10
相关论文
共 21 条
  • [1] CLAK B, PATT D, SCHRAMM H., Mosaic warfare: exploiting artificial intelligence and autonomous systems to implement decision-centric operations, (2020)
  • [2] ROWDEN T, GUMATAOTAO P, FANTA T P., Distributed lethality, United States Naval Institute Proceedings, 141, 1, pp. 18-23, (2015)
  • [3] FU Y B, KANG Q Y, WANG J F, Et al., Communication protocols for UAV flying ad-hoc network, Journal of Command and Control, 7, 1, pp. 89-96, (2021)
  • [4] SHANG B, LIU L, RAO R M, Et al., 3D spectrum sharing for hybrid D2D and UAV networks, IEEE Transactions on Communications, 68, 9, pp. 5375-5389, (2020)
  • [5] BERA B, DAS A K, GARG S, Et al., Access control protocol for battlefield surveillance in drone-assisted IoT environment, IEEE Internet of Things Journal, 9, 4, pp. 2708-2721, (2022)
  • [6] FENG Y D, WU Y X, CAO H Z., Distributed guidance law for multi-UAV cooperative tracking, Acta Armamentarii, 40, 10, pp. 2060-2069, (2019)
  • [7] CHEN Q L, TIAN H T, WANG P, Et al., A collocation scheme of distributed cooperative operational weapons based on OODA loop, Acta Armamentarii, 42, 8, pp. 1780-1788, (2021)
  • [8] MAYANK S, SUNITA G., Bandwidth efficiency in mac protocol for ad hoc network, International Journal of Computer Science & Mobile Computing, 3, 7, pp. 716-730, (2014)
  • [9] SHIH K P, CHANG C Y, CHEN Y D, Et al., Dynamic bandwidth allocation for QoS routing on TDMA-based mobile ad hoc networks, Computer Communications, 29, 9, pp. 1316-1329, (2006)
  • [10] YAO K L, WANG J L, XU Y H, Et al., Self-organizing slot access for neighboring cooperation in UAV swarms [J], IEEE Transactions on Wireless Communications, 19, 4, pp. 2800-2812, (2020)