International Journal of Computer Science & Network Security

International Journal of Computer Science & Network Security (국제컴퓨터통신보호논문지학회)
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A Novel Active User Identification Method for Space based Constellation Network

  • Kenan, Zhang (Beijing Institute of Spacecraft System Engineering) ;
  • Xingqian, Li (Beijing Institute of Spacecraft System Engineering) ;
  • Kai, Ding (Beijing Institute of Spacecraft System Engineering) ;
  • Li, Li (Computer Network Information Center, Chinese Academy of Sciences)
  • Received : 2022.12.05
  • Published : 2022.12.30
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Abstract

Space based constellation network is a kind of ad hoc network in which users are self-organized without center node. In space based constellation network, users are allowed to enter or leave the network at any given time. Thus, the number of active users is an unknown and time-varying parameter, and the performance of the network depends on how accurately this parameter is estimated. The so-called problem of active user identification, which consists of determining the number and identities of users transmitting in space based constellation network is discussed and a novel active user identification method is proposed in this paper. Active user identification code generated by transmitter address code and receiver address code is used to spread spectrum. Subspace-based method is used to process received signal and judgment model is established to identify active users according to the processing results. The proposed method is simulated under AWGN channel, Rician channel and Rayleigh channel respectively. Numerical results indicate that the proposed method obtains at least 1.16dB Eb/N0 gains compared with reference methods when miss alarm rate reaches 10-3.

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References

  1. Moshavi S, Multiuser detection for DS-CDMA communications[J]. IEEE Communications Magazine, 1996, 34(10):124-136. https://doi.org/10.1109/35.544334
  2. Verdu S, Multiuser Detection[M]. Cambridge, U.K.: Cambdridge University Press, 1998.
  3. Halford K and Brandt-Pearce M, New user identification in a CDMA system[J]. IEEE Transactions on Communications, 1998, 46(1):144-155. https://doi.org/10.1109/26.655413
  4. Wu W C and Chen K C. Identification of active users in synchronous CDMA multiuser detection[J]. IEEE Journal on Selected Areas in Communications, 1998, 16 (9): 1723-1735. https://doi.org/10.1109/49.737641
  5. Angelosante D, Biglieri E, and Lops M. Multiuser detection in a dynamic environment-part II: joint user identification and parameter estimation[J]. IEEE Transactions on Information Theory, 2009, 55 (5): 2365-2374. https://doi.org/10.1109/TIT.2009.2016008
  6. Angelosante D, Biglieri E, and Lops M. Low-complexity receivers for multiuser detection with an unknown number of active users[J]. Signal Processing, 2010, 90(5): 1486-1495. https://doi.org/10.1016/j.sigpro.2009.10.019
  7. Vazquez M A and Miguez J. User activity tracking in DS-CDMA systems[J]. IEEE Transactions on Vehicular Technology, 2013, 62(7):3188-3203.
  8. Zhang Yijin, Shum K W, Wong W S, et al. Binary sequences for multiple access collision channel: identification and synchronization[J].IEEE Transactions on Communications,2014,62(2):667-675. https://doi.org/10.1109/TCOMM.2013.121313.130331