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A New Distributed Interference Alignment Technology Scheme Under the Condition of Partial Interference Alignment

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Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 386))

Abstract

This paper is based on the idea of partial interference alignment, studies the OBSS (Overlap Basic Service Set) scene that the strong and weak interference coexist, while mainly to strong interference. When only adopting distributed interference alignment for the strong interference region, since distributed interference alignment can only align the interference of strong interference region, if the SNR is relatively large, weak interference can severely limit the system’s channel capacity. For solving this problem, in this paper, weak interference is added to the covariance matrix of distributed interference alignment as a constant in order to eliminate the weak interference while eliminating the strong interference in the iteration, which effectively improves the system’s channel capacity under the condition of partial interference alignment. Then the simulation results show that the algorithm can effectively improve the channel capacity of the system, and greater power attenuation factor, the improved effect is more obvious.

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References

  1. Catreux S, Driessen PF, Greenstein LJ (2000) Simulation results for an interference-limited multiple-input multiple-output cellular system. In: Global telecommunications conference, 2000. GLOBECOM ‘00. IEEE, pp 334–336

    Google Scholar 

  2. Gomadam K, Cadambe VR, Jafar SA (2011) A distributed numerical approach to interference alignment and applications to wireless interference networks. IEEE Trans Inf Theory 57(6):3309–3322

    Google Scholar 

  3. Schreck J, Wunder G, Jung P (2015) Robust iterative interference alignment for cellular networks with limited feedback. IEEE Trans Wirl Commun 14(2):882–894

    Article  Google Scholar 

  4. Santamaria I, Gonzalez O, Heath RW, Peters SW (2010) Maximum sum-rate interference alignment algorithms for MIMO channels. In: Global telecommunications conference (GLOBECOM 2010), Miami FL, pp 1–6

    Google Scholar 

  5. Ben Halima S, Saadani A (2012) A reduced complexity clustering algorithm for the K-user MIMO interference channel. In: 2012 IEEE 13th international workshop on signal processing advances in wireless communications (SPAWC). IEEE, pp 284–288

    Google Scholar 

  6. Rihan M, Elsabrouty M, Muta O, et al (2014). Iterative interference alignment in macrocell-femtocell networks: a cognitive radio approach. In: 2014 11th international symposium on wireless communications systems (ISWCS). IEEE, pp 654–658

    Google Scholar 

  7. Zhang W, Yu Y, Wang C, et al. ()2013 Partial interference alignment for multi-cell and multi-user MIMO downlink transmission. In: 2013 IEEE 78th vehicular technology conference (VTC Fall). IEEE, pp 1–5

    Google Scholar 

  8. Zhang Y, Zhou Z, Li B et al (2015) Partial interference alignment for downlink multi-cell multi-input–multi-output networks. IET Commun 9(6):836–843

    Article  Google Scholar 

  9. Seo J, Yang C, Park G, et al. (2013) Partial interference alignment in heterogeneous networks. In: Military communications conference, MILCOM 2013–2013 IEEE, San Diego, pp 1553–1557

    Google Scholar 

  10. Liu G, Sheng M, Wang X et al (2015) Interference alignment for partially connected downlink MIMO heterogeneous networks. IEEE Trans Commun 63(2):551–564

    Article  Google Scholar 

  11. Zhou R, Lv T, Long W (2012) A distributed iterative interference alignment scheme for K-User MIMO interference channel. In: 2012 8th international conference on wireless communications, networking and mobile computing (WiCOM), Shanghai, pp 1–4

    Google Scholar 

  12. Yang Zhang, Zheng Zhou, Lei Shi, Bin Li (2013) Distributed interference alignment with grassmannian codebook. J Beijing Univ Posts Telecommun 36(4):71–75

    Google Scholar 

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Acknowledgments

This work was supported by the 863 Program of China under Grant No. 2015AA01A703, the Fundamental Research Funds for the Central Universities under grant No.2014ZD03-02, NSFC (No. 61571055,61171104), fund of SKL of MMW (No. K201501).

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Correspondence to Tiefei Wang .

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Zou, W., Wang, T., Xu, C. (2016). A New Distributed Interference Alignment Technology Scheme Under the Condition of Partial Interference Alignment. In: Liang, Q., Mu, J., Wang, W., Zhang, B. (eds) Proceedings of the 2015 International Conference on Communications, Signal Processing, and Systems. Lecture Notes in Electrical Engineering, vol 386. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-49831-6_33

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  • DOI: https://doi.org/10.1007/978-3-662-49831-6_33

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-662-49829-3

  • Online ISBN: 978-3-662-49831-6

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