Joint tactical radio system common network services

被引:0
作者
Chen, Yong [1 ]
Yuan, Tanya [1 ]
LeTourneau, C. D. R. Matt [2 ]
机构
[1] Booz Allen Hamilton Inc, 333 City Blvd W,17th Floor, Orange, CA 92868 USA
[2] SPAWAR, Joint Tact Radio Syst Joint Program Execut Off, San Diego, CA 92147 USA
来源
2007 IEEE MILITARY COMMUNICATIONS CONFERENCE, VOLS 1-8 | 2007年
关键词
CROSS-LAYER DESIGN;
D O I
暂无
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
The Joint Tactical Radio System (JTRS) family of radios will provide networking capability across the Department of Defense (DoD) by hosting networking waveforms designed to their intended operating environments. Additional networking functionality beyond what the service acquisitions and waveforms are currently developing will be required within JTRS to provide interconnectivity among the networked waveforms and with the other Global Information Grid (GIG) components (e.g. WIN-T). The JTRS family must provide a common IP convergence layer for all hosted networked waveforms. In this paper, we will present the JTRS Common Network Services (CNS) as a solution for this seamless interoperability in the JTRS. CNS provides interoperability by interconnecting disparate waveform networks at the IP layer. This will allow the military to plan and execute joint missions that deploy a wide variety of platforms, weapons systems and surveillance equipment, across services and with waveforms designed for their specific operating environments. In contrast to waveforms that operate at layer 1, 2 and sometimes at layer 3, CNS operates at layer 3 and above. This paper will describe the CNS and discuss challenging aspects of their implementation in a network environment of constantly moving platforms.
引用
收藏
页码:3931 / +
页数:3
相关论文
共 50 条
  • [21] Joint cross-layer resource allocation and interference avoidance with QoS support for cognitive radio systems
    Peng, Hailan
    Fujii, Takeo
    EURASIP JOURNAL ON WIRELESS COMMUNICATIONS AND NETWORKING, 2012,
  • [22] Joint cross-layer resource allocation and interference avoidance with QoS support for cognitive radio systems
    Hailan Peng
    Takeo Fujii
    EURASIP Journal on Wireless Communications and Networking, 2012
  • [23] A Novel Self-Forming Virtual Sub-Nets Based Cross-Layer MAC Protocol for Multihop Tactical Network
    Rukaiya, Rukaiya
    Khan, Shoab Ahmed
    Farooq, Muhammad Umar
    Hussain, Farhan
    APPLIED SCIENCES-BASEL, 2021, 11 (06):
  • [24] Joint Optimization in Software Defined Wireless Networks with Network Coded Opportunistic Routing
    Wang, Haiping
    Tang, Hao
    Zhang, Sanfeng
    2017 IEEE 14TH INTERNATIONAL CONFERENCE ON MOBILE AD HOC AND SENSOR SYSTEMS (MASS), 2017, : 298 - 302
  • [25] A Survey of Network Design Problems and Joint Design Approaches in Wireless Mesh Networks
    Pathak, Parth H.
    Dutta, Rudra
    IEEE COMMUNICATIONS SURVEYS AND TUTORIALS, 2011, 13 (03): : 396 - 428
  • [26] CREATE-NEST: A Distributed Cognitive Radio Network Platform with Physical Channel Awareness
    Ding, Lei
    Sagduyu, Yalin E.
    Melodia, Tommaso
    Li, Jason H.
    Feldman, Jared
    Matyjas, John
    2013 IEEE MILITARY COMMUNICATIONS CONFERENCE (MILCOM 2013), 2013, : 1669 - 1674
  • [27] Cross-Layer Resource Allocation With Elastic Service Scaling in Cloud Radio Access Network
    Tang, Jianhua
    Tay, Wee Peng
    Quek, Tony Q. S.
    IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 2015, 14 (09) : 5068 - 5081
  • [28] Cross-Layer Design for Downlink Multihop Cloud Radio Access Networks With Network Coding
    Liu, Liang
    Yu, Wei
    IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2017, 65 (07) : 1728 - 1740
  • [29] Reinforcement Learning Based Q-Routing: Performance Evaluation on Cognitive Radio Network Topologies
    Paul, Anal
    Maity, Santi Prasad
    WIRELESS PERSONAL COMMUNICATIONS, 2022, 125 (02) : 1425 - 1441
  • [30] The Research of Cross-layer Architecture Design for MCM-Based Cognitive Radio Network
    Peng, Yi
    Peng, Jie
    Zheng, Xiangquan
    PROCEEDINGS OF THE FIRST INTERNATIONAL WORKSHOP ON EDUCATION TECHNOLOGY AND COMPUTER SCIENCE, VOL II, 2009, : 711 - +