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Optimal Reference Vector Selection Algorithm in Subspace Interference Alignment to Maximize System Throughput

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Abstract

Arbitrary reference vectors have been adopted in conventional subspace alignment as transmitting vectors at the transmitter side. Inter-cell interference among users can be eliminated using orthogonal vectors to the chosen reference vectors at the receiver side. However, in this case, the sum-rate varies using different reference vectors, even though the channel values remain constant, and vice versa. In this paper, we analyzed the variation of sum-rate corresponding to reference vectors. An optimal reference vector selection algorithm based on subspace interference alignment is proposed to increase multi-cell capacity. The proposed algorithm adopts reference vectors with small variance. Simulation results show that the proposed algorithms provide about 50 % higher sum-rate than does the conventional subspace interference alignment algorithm.

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References

  1. Wyner A. D. (1994) Shannon-theoretic approach to a gaussian cellular multiple access channel. IEEE Transactions on Information Theory 40(6): 1713–1727

    Article MathSciNet MATH  Google Scholar 

  2. Somekh, O., Simeone, O., Bar-Ness, Y., Haimovich, A. M., Spagnolini, U., & Shitz, S. S. (2007). Distributed antenna systems: open architecture for future wireless communications, ch.An information theoretic view of distributed antenna processing in cellular systems. Boca Raton, FL: Auerbach Publications, CRC Press.

  3. Zhang, X., He, C., Jiang, L., & Xu, J. (2008). Inter-cell interference coordination based on softer frequency reuse in OFDMA cellular systems. InProceedings on IEEE international conference on neural networks and signal processing, (pp. 270–275).

  4. 3GPP, R1-082896.Coordinated multi-cell transmission for LTE-advanced downlink, ETRI.

  5. Rahman, M., Yanikomeroglu, H. (2010). Inter-cell interference coordination in OFDMA networks: A novel approach based on integer programming. InProceedings on VTC-Spring, (pp. 1–5).

  6. Wang Y. P., Chang K. H. (2010) Adjacent channel interference reduction for M-WiMAX TDD and WCDMA FDD coexistence by utilizing beamforming in M-WiMAX TDD system. IEICE Transactions on E 93-B(01): 111–124

    Article  Google Scholar 

  7. Necker M. (2008) Interference coordination in cellular OFDMA networks. IEEE Network 22: 12–19

    Article  Google Scholar 

  8. Andrews J. G. (2005) Interference cancellation for cellular systems: A contemporary overview. IEEE Wireless Communications Magazine 12: 19–29

    Article  Google Scholar 

  9. Kim, J. H., & Chang, K. H. (2009). Ranging improvement using successive interference cancellation for multiuser M-WiMAX system. InProceedings on IEEE PIMRC, session G8-4.

  10. Cadambe V. R., Jafar S. A. (2008) Interference alignment and degrees of freedom of the K-user interference channel. IEEE Transactions on Information Theory 54(8): 3424–3441

    Article MathSciNet  Google Scholar 

  11. Cadambe, V. R., & Jafar, S. A. (2007). Interference alignment and degrees of freedom region for the k user interference channel.arxiv.org, arxiv eprint = cs/0707.0323.

  12. Suh, C., & Tse, D. (2008). Interference alignment for cellular networks. InProceedings of Allerton conference on communications, control and computing, (pp. 23–26).

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Author information

Authors and Affiliations

  1. The Graduate School of IT and Telecommunications, Inha University, 253 Yonghyun-Dong, Nam-Gu, Incheon, 402-751, Korea

    DongKeol Han, Bing Hui & KyungHi Chang

  2. System SoC Research Department, ETRI, Daejeon, Korea

    Bontae Koo

Authors
  1. DongKeol Han
  2. Bing Hui
  3. KyungHi Chang
  4. Bontae Koo

Corresponding author

Correspondence toKyungHi Chang.

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Han, D., Hui, B., Chang, K.et al. Optimal Reference Vector Selection Algorithm in Subspace Interference Alignment to Maximize System Throughput.Wireless Pers Commun71, 1085–1094 (2013). https://doi.org/10.1007/s11277-012-0862-5

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