计算机科学 ›› 2018, Vol. 45 ›› Issue (11A): 282-286.

• 网络与通信 • 上一篇    下一篇

全双工CSMA网络中的隐藏终端问题研究

刘圣波1,2,3, 付立群4   

  1. 中国科学院上海微系统与信息技术研究所 上海2000501
    上海科技大学信息与科学技术学院 上海2000312
    中国科学院大学 北京1000493
    厦门大学信息与科学技术学院 福建 厦门3610054
  • 出版日期:2019-02-26 发布日期:2019-02-26
  • 作者简介:刘圣波(1992-),男,硕士生,CCF学生会员,主要研究方向为无线全双工CSMA网络;付立群(1982-),女,博士,教授,主要研究方向为无线通信与网络等,E-mail:liqun@xmu.edu.cn。
  • 基金资助:
    本文受国家青年千人计划科研启动项目(D1210048),国家自然科学基金面上项目(61771017)资助。

Study of Hidden Node Problem in Full-duplex Enabled CSMA Networks

LIU Sheng-bo1,2,3, FU Li-qun4   

  1. Shanghai Institute of Microsystem & Information Technology,Chinese Academy of Sciences,Shanghai 200050,China1
    School of Information and Science Technology,Shanghai Tech University,Shanghai 200031,China2
    University of Chinese Academy of Science,Beijing 100049,China3
    School of Information and Science Technology,Xiamen University,Xiamen,Fujian 361005,China4
  • Online:2019-02-26 Published:2019-02-26

摘要: 同时同频全双工技术允许节点在同一频带内同时发送和接收信号,理论上可以将频带利用率提高一倍。该技术虽然可以有效缓解传统CSMA网络中的隐藏终端问题,但是全双工CSMA网络中的隐藏终端问题仍然缺少全面且深入的研究。对半双工CSMA网络中隐藏终端问题及其解决方案进行了分析,介绍了全双工CSMA网络中的4种传输模式,理论分析和实验仿真说明了全双工CSMA网络中的隐藏终端问题。最后进一步分析了一些现有的全双工媒体访问控制(Medium Access Control,MAC)协议,并提出了几个在设计全双工MAC协议时为解决隐藏终端问题而应该考虑的问题。

关键词: MAC协议, 全双工, 网络, 隐藏终端问题, 载波侦听多址接入

Abstract: Full-duplex (FD) technology enables simultaneous transmission and reception in the same band.Thus,it is expected to double spectrum efficiency of wireless networks.Full-duplexing can alleviate the hidden node problem in traditional CSMA networks.However,hidden node problem in FD CSMA networks is short of comprehensive and deep research.This paper briefly analyzed the hidden node problem and its solutions in half-duplex CSMA networks,and introduced four transmission modes in FD CSMA networks.Theoretical analysis and simulations illustrate the hidden node problem in FD CSMA networks.Finally,this paper further discussed the existing FD MAC (Medium Access Control) protocols,and proposed several important issues which need to be taken into consideration in the design of FD MAC protocols in order to reduce the hidden node problem.

Key words: CSMA, Full-duplex, Hidden node problem, MAC Protocols, Networks

中图分类号: 

  • TN925
[1]JAIN M,CHOI J I,KIM T,et al.Practical,real-time,full duplex wireless[C]∥Proceedings of the 17th Annual International Conference on Mobile Computing and Networking.ACM,2011:301-312.
[2]CHOI J I,JAIN M,SRINIVASAN K,et al.Achieving single channel,full duplex wireless communication[C]∥Proceedings of the Sixteenth Annual International Conference on Mobile Computing and Networking.ACM,2010:1-12.
[3]BHARADIA D,MCMILIN E,KATTI S.Full duplex radios[J].ACM SIGCOMM Computer Communication Review,2013,43(4):375-386.
[4]KIM D,LEE H,HONG D.A survey of in-band full-duplex transmission:From the perspective of PHY and MAC layers[J].IEEE Communications Surveys & Tutorials,2015,17(4):2017-2046.
[5]孙彦景,左海维,李松.带内全双工无线通信自干扰消除及 MAC 调度研究综述[J].电子科技大学学报,2016,45(6):873-887.
[6]SONG L,LIAO Y,BIAN K,et al.Cross-layer protocol design for CSMA/CD in full-duplex WiFi networks[J].IEEE Communications Letters,2016,20(4):792-795.
[7]TOBAGI F,KLEINROCK L.Packet switching in radio chan-nels:part II--the hidden terminal problem in carrier sense multiple-access and the busy-tone solution[J].IEEE Transactions on Communications,1975,23(12):1417-1433.
[8]WU C,LI V.Receiver-initiated busy-tone multiple access in packet radio networks[C]∥ACM SIGCOMM Computer Communication Review.ACM,1987:336-342.
[9]HAAS Z J,DENG J.Dual busy tone multiple access (DBTMA)-a multiple access control scheme for ad hoc networks[J].IEEE Transactions on Communications,2002,50(6):975-985.
[10]KARN P.MACA-a new channel access method for packet radio[C]∥Amateur Radio 9th Computer Networking Conference.1990:134-140.
[11]BHARGHAVAN V,DEMERS A,SHENKER S,et al.MA-CAW:a media access protocol for wireless LAN’s[J].ACM SIGCOMM Computer Communication Review,1994,24(4):212-225.
[12]XU K,GERLA M,BAE S.How effective is the IEEE 802.11 RTS/CTS handshake in ad hoc networks[C]∥Global Telecommunications Conference.2002,1:72-76.
[13]YANG X,HUANG Y F,YANG W,et al.A dual channel MAC protocol for providing high spatial reuse and channel efficiency[C]∥2009 1st International Conference on Information Science and Engineering (ICISE).IEEE,2009:3930-3935.
[14]MUQATTASH A,KRUNZ M.Power controlled dual channel (PCDC) medium access protocol for wireless ad hoc networks[C]∥INFOCOM 2003.Twenty-Second Annual Joint Confe-rence of the IEEE Computer and Communications.IEEE Societies,2003:470-480.
[15]JIANG L B,LIEW S C.Improving throughput and fairness by reducing exposed and hidden nodes in 802.11 networks[J].IEEE Transactions on Mobile Computing,2008,7(1):34-49.
[16]FU L,LIEW S C,HUANG J.Effective carrier sensing in CSMA networks under cumulative interference[J].IEEE Transactions on Mobile Computing,2013,12(4):748-760.
[17]TAMAKI K,RAPTINO H A,SUGIYAMA Y,et al.Full du-plex media access control for wireless multi-hop networks[C]∥2013 IEEE 77th Vehicular Technology Conference (VTC Spring).IEEE,2013:1-5.
[18]The Network Simulator:ns3[OL].http://www.nsnam.org.
[19]JIANG L B,LIEW S C.Removing hidden nodes in IEEE 802.11 wireless networks[J].IEEE Vehicular Technology Conference,2005,62(2):1127-1131.
[20]GOYAL S,LIU P,GURBUZ O,et al.A distributed MAC protocol for full duplex radio[C]∥2013 Asilomar Conference on Signals,Systems and Computers.IEEE,2013:788-792.
[21]CHENG W,ZHANG X,ZHANG H.RTS/FCTS mechanism based full-duplex MAC protocol for wireless networks[C]∥Globecom Workshops (GC Wkshps).2013:5017-5022.
[22]THILINA K M,TABASSUM H,HOSSAIN E,et al.Medium access control design for full duplex wireless systems:challenges and approaches[J].IEEE Communications Magazine,2015,53(5):112-120.
[23]CHOI W,LIM H,SABHARWAL A.Power-controlled medium access control protocol for full-duplex WiFi networks[J].IEEE Transactions on Wireless Communications,2015,14(7):3601-3613.
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