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Interference mitigation in heterogeneous networks with simple dirty paper coding

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Abstract

In heterogeneous networks where macro cells and metro cells use the same frequency band to communicate with their respective users, the major problem limiting performance is the interference caused by macro cells to metro cells. The information theoretic result known as dirty paper coding provides a way to address this problem and significantly improve the performance of heterogeneous networks with co-channel deployment. In this paper, we show how a simple dirty paper coding scheme employing Tomlinson-Harashima pre-coding with partial interference pre-subtraction can be employed by metro cells to mitigate the interference caused by macro cells. A performance study included in this paper shows that the proposed dirty paper coding scheme can lead to significant improvement in user rate statistics.

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Notes

  1. Throughout this paper, Gray coding is assumed to be used to map groups of bits to points in a QAM constellation.

  2. This is the same as SNR expressed in dB units.

References

  1. Balachandran, K., Kang, J. H., Karakayali, M. K., & Rege, K. M. (2011). Cell selection with downlink resource partitioning. In Proceedings of the IEEE ICC workshop on heterogeneous networks.

  2. GPP Release 10.

  3. Costa, M. H. M. (1983). Writing on dirty paper. IEEE transactions on Information Theory,29(3), 439–441.

    Article  MathSciNet  Google Scholar 

  4. Gelfand, S. I. (1980). Coding for channel with random parameters. Problems of Control and Information Theory,9(1), 19–31.

    MathSciNet  Google Scholar 

  5. Foschini, G. J., & Diaz, A. H. (2003). Dirty paper coding: perturbing off the infinite dimensional lattice limit. Multiantenna Channels: Capacity, Coding and Signal Processing,62, 1052–1798.

    MathSciNet  MATH  Google Scholar 

  6. Erez, U., Shamai, S., & Zamir, R. (2005). Capacity and lattice strategies for canceling known interference. IEEE Transactions on Information Theory,51(11), 3820–3833.

    Article  MathSciNet  Google Scholar 

  7. Sun, Y., Yang, Y., Liveris, A. D., Stankovic, V., & Xiong, Z. (2009). Near-capacity dirty-paper code design: A source-channel coding approach. IEEE Transactions on Information Theory,55(7), 3013–3031.

    Article  MathSciNet  Google Scholar 

  8. Yu, W., Varodayan, D. P., & Cioffi, J. M. (2005). Trellis and convolutional precoding for transmitter-based interference presubtraction. IEEE Transactions on Communications,53(7), 1220–1230.

    Article  Google Scholar 

  9. Erez, U., & Brink, S. T. (2005). A close-to-capacity dirty paper coding scheme. IEEE Transactions on information theory,51(10), 3417–3432.

    Article  MathSciNet  Google Scholar 

  10. Bennatan, A., Burshtein, D., Caire, G., & Shamai, S. (2006). Superposition coding for side-information channels. IEEE Transactions on Information Theory,52(5), 1872–1889.

    Article  MathSciNet  Google Scholar 

  11. Zamir, R., Shamai, S., & Erez, U. (2002). Nested linear/lattice codes for structured multiterminal binning. IEEE Transactions on Information Theory,48(6), 1250–1276.

    Article  MathSciNet  Google Scholar 

  12. Rege, K. M., Balachandran, K., Kang, J. H., & Karakayali, M. K. (2016). Practical dirty paper coding with sum codes. IEEE Transactions on Communications,64(2), 441–455.

    Article  Google Scholar 

  13. Rege, K. M., Balachandran, K., Kang, J. H., & Karakayali, M. K. (2013). Dirty paper coding using trellis-coded modulation. In 2013 IEEE 24th annual international symposium on personal, indoor, and mobile radio communications (PIMRC) (pp. 818–823). IEEE.

  14. Rege, K. M., Balachandran, K., Kang, J. H., & Karakayali, M. K. (2014). A practical dirty paper coding scheme based on LDPC codes. In 2014 IEEE wireless communications and networking conference (WCNC) (pp. 188–193). IEEE.

  15. Chen, B., & Wornell, G. W. (2001). Quantization index modulation: A class of provably good methods for digital watermarking and information embedding. IEEE Transactions on Information Theory,47(4), 1423–1443.

    Article  MathSciNet  Google Scholar 

  16. Eggers, J. J., Su, J. K., & Girod, B. (2001). Performance of a practical blind watermarking scheme. In Security and watermarking of multimedia contents III (Vol. 4314), San Jose, California.

  17. Eggers, J. J., Bauml, R., Tzschoppe, R., & Girod, B. (2003). Scalar costa scheme for information embedding. IEEE Transactions on signal processing,51(4), 1003–1019.

    Article  MathSciNet  Google Scholar 

  18. Gallager, R. G. (1963). Low-density parity-check codes. Cambridge: MIT Press.

    Book  Google Scholar 

  19. MacKay, D. J. C., & Neal, R. M. (1996). Near shannon limit performance of low density parity check codes. Electronic Letters,32, 1645–1646.

    Article  Google Scholar 

  20. GPP TR 36.814 v9.0.0: 3rd Generation Partnership Project—Technical Specification Group Radio Access Network; Evolved Universal Terrestrial Radio Access (E-UTRA); Further Advancements for E-UTRA Physical Layer Aspects (Release 9).

  21. Tse, D. (2005). Fundamentals of wireless communication. Cambridge: Cambridge University Press.

    Book  Google Scholar 

  22. GPP Release 11.

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Authors and Affiliations

  1. Vencore Labs, 331 Newman Springs Road, Red Bank, NJ, 07701, USA

    Kiran M. Rege

  2. Nokia Bell Laboratories, 600-700 Mountain Avenue, Murray Hill, NJ, 07974, USA

    Krishna Balachandran, Joseph H. Kang & Kemal Karakayali

Authors
  1. Kiran M. Rege
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  2. Krishna Balachandran
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  3. Joseph H. Kang
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  4. Kemal Karakayali
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Corresponding author

Correspondence to Joseph H. Kang.

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Rege, K.M., Balachandran, K., Kang, J.H. et al. Interference mitigation in heterogeneous networks with simple dirty paper coding. Wireless Netw 26, 2755–2767 (2020). https://doi.org/10.1007/s11276-019-02010-w

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