Skip to main content
SpringerLink
Log in

When and how much to neutralize interference? Balancing the benefits and cost of interference management

  • Published:
Wireless Networks Aims and scope Submit manuscript

Abstract

Interference management (IM) is essential to wireless communication systems, but it is also known to consume transmission resource such as power and degree of freedom, hence degrading users’ achievable spectral efficiency (SE). Therefore, it is important to select an appropriate IM method with optimal operating parameters so as to balance the benefits brought by and the cost of IM. Interference neutralization (IN) has recently been receiving considerable attention, with which a duplicate of interference of the same strength and opposite phase with respect to the original interfering signal is generated to neutralize the disturbance at the intended receiver. However, to the best of our knowledge, all existing IN schemes assume that interference is completely neutralized without accounting for their power consumption. To remedy this deficiency, we propose a novel scheme, called dynamic interference neutralization (DIN). By intelligently determining the appropriate portion of interference to be neutralized, we balance the transmitter’s power used for IN and the desired signal’s transmission. We then extend the proposed DIN to general cases where the numbers of interferences, desired data streams, as well as pico base stations and pico user equipments, are variables. Moreover, in addition to the design under asymmetric interference topology, the application of DIN in symmetric interference situation is also presented. Our in-depth analysis and simulation have shown that the proposed strategy can make better use of the transmit power than existing IM methods, hence enhancing users’ SE.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11

Similar content being viewed by others

References

  1. Noura, M., & Nordin, R. (2016). A survey on interference management for Device-to-Device (D2D) communication and its challenges in 5G networks. Journal of Network and Computer Applications, 71, 130–150.

    Article  Google Scholar 

  2. Mhiri, F., Sethom, K., & Bouallegue, R. (2013). A survey on interference management techniques in femtocell self-organizing networks. Journal of Network and Computer Applications, 36(1), 58–65.

    Article  Google Scholar 

  3. Yoo, T., & Goldsmith, A. (2006). On the optimality of multianntenna broadcast scheduling using zero-forcing beamforming. IEEE Journal on Selected Areas in Communications, 24(3), 528–541.

    Article  Google Scholar 

  4. Tse, D., & Viswanath, P. (2004). Fundamentals of wireless communication. New York, NY: Cambridge University Press.

    MATH  Google Scholar 

  5. Cadambe, V. R., & Jafar, S. A. (2008). Interference alignment and spatial degrees of freedom for the \(k\) user interference channel. In Proceedings of the IEEE international conference on communications (ICC) (pp. 971–975).

  6. Yetis, C. M., Gou, T., Jafar, S. A., et al. (2010). On feasibility of interference alignment in MIMO interference networks. IEEE Transactions on Signal Processing, 58(9), 4771–4782.

    Article  MathSciNet  Google Scholar 

  7. Na, C., Hou, X., & Harada, A. (2012). Two-cell coordinated transmission scheme based on interference alignment and MU-MIMO beamforming. In Proceedings of the IEEE vehicular technology conference (VTC) (pp. 1–5).

  8. Mohajer, S., Diggavi, S. N., Fragouli, C., & Tse, D. N. C. (2008). Transmission techniques for relay-interference networks. In Proceedings of the 46th annual allerton conference on communication, control, and computing (pp. 467–474).

  9. Chen, J., Singh, A., Elia, P., & et al. (2011). Interference neutralization for separated multiuser uplink-downlink with distributed relays. In Proceedings of the information theory and applications workshop (ITA) (pp. 1–9).

  10. Gou, T., Jafar, S. A., Wang, C., et al. (2012). Aligned interference neutralization and the degrees of freedom of the 2\(\times \)2\(\times \)2 interference channel. IEEE Transactions on Information Theory, 58(7), 4381–4395.

    Article  MathSciNet  Google Scholar 

  11. Lee, N., & Wang, C. (2013). Aligned interference neutralization and the degrees of freedom of the two-user wireless networks with an instantaneous relay. IEEE Transactions on Communications, 61(9), 3611–3619.

    Article  Google Scholar 

  12. Li, Z., Liu, Y., Shin, K. G., Liu, J., & Yan, Z. (2019). Interference steering to manage interference in IoT. IEEE Internet of Things Journal, 6(6), 10458–10471.

    Article  Google Scholar 

  13. Li, Z., Guo, F., Shu, C., Shin, K. G., et al. (2018). Dynamic interference steering in heterogeneous cellular networks. IEEE Access, 6, 28552–28562.

    Article  Google Scholar 

  14. Li, Z., Shin, K. G., & Zhen, L. (2017). When and how much to neutralize interference? In Proceedings of the IEEE international conference on computer communications (INFOCOM) (pp. 1–9).

  15. Quek, T. Q. S., de la Roche, G., & Kountouris, M. (2013). Small cell networks: Deployment, PHY techniques, and resource management. New York, NY: Cambridge University Press.

    Book  Google Scholar 

  16. 3GPP TR 36.931 Release 12, LTE; Evolved Universal Terrestrial Radio Access (E-UTRA); Radio Frequency (RF) requirements for LTE Pico Node B. (2014).

  17. Golub, G. H., & Van Loan, C. F. (2013). Matrix computations (4th ed.). Baltimore, MD: The John Hopkins University Press.

    MATH  Google Scholar 

  18. Lee, J. H., & Choi, W. (2011). Interference alignment by opportunistic user selection in 3-user MIMO interference channels. In Proceedings of the IEEE international conference on communications (ICC) (pp. 1–5).

  19. Li, Z., Ding, J., Dai, X., Shin, K. G., & Liu, J. (2019). Exploiting interactions among signals to decode interfering transmissions with fewer receiving antennas. Computer Communications, 136, 63–75.

    Article  Google Scholar 

  20. Li, Z., Liu, Y., Shin, K. G., et al. (2019). Design and adaptation of multi-interference steering. IEEE Transactions on Wireless Communications, 18(7), 3329–3346.

    Article  Google Scholar 

  21. Lopez-Perez, D., Guvenc, I., de la Roche, G., et al. (2011). Enhanced inter-cell interference coordination challenges in heterogeneous networks. IEEE Wireless Communications, 18(3), 22–30.

    Article  Google Scholar 

  22. Shi, Q., Razaviyayn, M., Luo, Z., et al. (2011). An iteratively weighted MMSE approach to distributed sum-utility maximization for a MIMO interfering broadcast channel. IEEE Transactions on Signal Processing, 59(9), 4331–4340.

    Article  MathSciNet  Google Scholar 

Download references

Acknowledgements

This work was supported in part by the 111 Project (B16037), NSFC (61672410, 61802292), the Project of Cyber Security Establishment with Inter University Cooperation, the Secom Science and Technology Foundation.

Author information

Authors and Affiliations

  1. School of Cyber Engineering, Xidian University, Xi’an, 710126, Shaanxi, China

    Zhao Li & Jun Li

  2. School of Telecommunications, Xidian University, Xi’an, China

    Jiamin Ding & Ke Long

  3. National Institute of Informatics, Tokyo, Japan

    Jia Liu

Authors
  1. Zhao Li
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Jun Li
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Jiamin Ding
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Ke Long
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Jia Liu
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Zhao Li.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Li, Z., Li, J., Ding, J. et al. When and how much to neutralize interference? Balancing the benefits and cost of interference management. Wireless Netw 26, 5393–5410 (2020). https://doi.org/10.1007/s11276-020-02406-z

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11276-020-02406-z

Keywords

Search

Navigation