Wireless Networks

, Volume 21, Issue 4, pp 1227–1242 | Cite as

Interference alignment with delayed channel state information and dynamic AR-model channel prediction in wireless networks

  • Nan Zhao
  • F. Richard YuEmail author
  • Hongjian Sun
  • Hongxi Yin
  • A. Nallanathan
  • Guan Wang


Interference alignment (IA) is a promising technique that can effectively eliminate the interferences in multiuser wireless networks. However, it requires highly accurate channel state information (CSI) of the whole network at all the transmitters and receivers. In practical wireless systems, it is difficult to obtain the perfect knowledge of a dynamic channel. Particularly, the CSI at transmitters used in IA is usually delayed through feedback, which will dramatically affect the performance of IA. In this paper, the performance of IA with delayed CSI is studied. The expressions of the average signal to interference plus noise ratio and sum rate of IA networks with delayed CSI are established. To alleviate the influence of delayed CSI, an IA scheme based on dynamic autoregressive (AR)-model channel prediction is proposed, in which the parameters of AR mode are updated frequently. The CSI of the next time instant is predicted using the present and past CSI in the proposed scheme to improve the performance of IA networks. Two key factors of the scheme, window length and refresh rate are analyzed in detail. Simulation results are presented to show that the proposed IA scheme based on channel prediction can significantly improve its performance with delayed CSI.


Interference alignment Delayed channel state information Linear channel prediction Autoregressive model 



This research was supported in part by the National Natural Science Foundation of China (NSFC) under Grant 61201224 and 61372089, China Postdoctoral Science Foundation Special Funded Project under 2013T60282, and the Fundamental Research Funds for the Central Universities under DUT14QY44.


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Copyright information

© Springer Science+Business Media New York 2014

Authors and Affiliations

  • Nan Zhao
    • 1
  • F. Richard Yu
    • 2
    Email author
  • Hongjian Sun
    • 3
  • Hongxi Yin
    • 1
  • A. Nallanathan
    • 4
  • Guan Wang
    • 1
  1. 1.School of Information and Communication EngineeringDalian University of TechnologyDalianChina
  2. 2.Department of Systems and Computer EngineeringCarleton UniversityOttawaCanada
  3. 3.School of Engineering and Computer ScienceDurham UniversityDurhamUK
  4. 4.Institute of TelecommunicationsKing’s College LondonLondonUK

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