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An optimal wireless transmission strategy based on coherent beamforming and successive interference cancellation

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Abstract

With the increase of the number of wireless devices, the amount of data that needs to be transmitted in wireless network is also increasing rapidly, which brings great burden to wireless transmission. This means device put forward a high requirement for end-to-end wireless communication performance. Therefore, it is very important to further improve the transmission performance. In this paper, we propose the optimal strategy by combining the coherent beamforming (CB) technique and the successive interference cancellation (SIC) technique for improving the performance of wireless device communication. CB technique can be used for expanding the communication range of wireless transmitters, and SIC technique can be used for improving the receiving ability of wireless receiver. We first give the mathematical model based on CB–SIC, find this model is NP-hard in general and cannot be solved directly. Therefore, we design a heuristic algorithm to obtain an approximate optimal solution. In simulation, we compare CB–SIC wireless network with CB only, SIC only, and interference avoidance network. Simulation results show that the algorithm can improve the end-to-end communication performance of wireless network and data throughput has been greatly improved.

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References

  1. Afaq, M., Iqbal, J., Ahmed, T., Islam, I. U., Khan, M., & Khan, M. S. (2020). Towards 5g network slicing for vehicular ad-hoc networks: An end-to-end approach. Computer Communications, 149, 252–258.

    Article  Google Scholar 

  2. Sanjeevi Pandiyan, T., Lawrence, S., Sathiyamoorthi, V., Ramasamy, M., Xia, Q., & Guo, Y. (2020). A performance-aware dynamic scheduling algorithm for cloud-based IoT applications. Computer Communications, 160, 512–520.

    Article  Google Scholar 

  3. Rajab, H., Cinkler, T., & Bouguera, T. (2020). Iot scheduling for higher throughput and lower transmission power. Wireless Networks, 3, 1572–8196.

    Google Scholar 

  4. Gupta, A., & Jha, R. K. (2015). A survey of 5g network: Architecture and emerging technologies. IEEE Access, 3, 1206–1232.

    Article  Google Scholar 

  5. Akpakwu, G. A., Silva, B. J., Hancke, G. P., & Abu-Mahfouz, A. M. (2018). A survey on 5g networks for the internet of things: Communication technologies and challenges. IEEE Access, 6, 3619–3647.

    Article  Google Scholar 

  6. Shah, S. A. A., Ahmed, E., Imran, M., & Zeadally, S. (2018). 5g for vehicular communications. IEEE Communications Magazine, 56(1), 111–117.

    Article  Google Scholar 

  7. Shi, Y., & Sagduyu, Y. E. (2019). Coherent communications in self-organizing networks with distributed beamforming. IEEE Transactions on Vehicular, 69(1), 760–770.

    Article  Google Scholar 

  8. Shi, L., Li, Z., X Ding, Xu, J., & Lv, Z. (2020) Optimizing wireless sensor networks based on collaborative beamforming. In Procedia computer science, 2019 international conference on identification, information and knowledge in the internet of things (Vol. 174, pp. 561–571)

  9. Ahmed Mohammed, F. A., & Vorobyov, S. (2009). Collaborative beamforming for wireless sensor networks with Gaussian distributed sensor nodes. IEEE Transactions on Wireless Communications, 8(2), 638–643.

    Article  Google Scholar 

  10. Jayaprakasam, S., Rahim, S. K. A., & Leow, C. Y. (2017). Distributed and collaborative beamforming in wireless sensor networks: Classifications, trends, and research directions. IEEE Communications Surveys and Tutorials, 19(4), 2092–2116.

    Article  Google Scholar 

  11. Marques, A. G., Wang, X., & Giannakis, G. B. (2008). Minimizing transmit power for coherent communications in wireless sensor networks with finite-rate feedback. IEEE Trans. On Signal Process, 56(9), 44464457.

    Article  MathSciNet  Google Scholar 

  12. Nanzer, J. A., Schmid, R. L., Comberiate, T. M., & Hodkin, J. E. (2017). Openloop coherent distributed arrays. IEEE Transactions on Microwave Theory and Techniques, 65(5), 16621672.

    Google Scholar 

  13. Scherber, D., Bidigare, P., ODonnell, R., Rebholz, M., Kulp, W., & Chang, D., et al. Coherent distributed techniques for tactical radio networks: Enabling long range communications with reduced size, weight, power and cost. In IEEE MILCOM, 2013.

  14. Shi, L., Shi, Y., Ye, Y., Wei, Z., & Han, J. (2013) An efficient interference management framework for multi-hop wireless networks. In IEEE wireless communications and networking conference, 2013.

  15. Zeng, H., Shi, Y., Hou, Y. T., Lou, W., Kompella, S., & Midkiff, S. F. (2016). An analytical model for interference alignment in multi-hop mimo networks. IEEE Transactions on Mobile Computing, 16(1), 17–31.

    Article  Google Scholar 

  16. Kha, H. H. (2014). Optimized transceivers for interference alignment in mimo interference channels. In 2014 International conference on advanced technologies for communications (ATC 2014) (pp. 19–22).

  17. Zappone, A., Jorswieck, E. A., & Buzzi, S. (2014). Energy efficiency and interference neutralization in two-hop mimo interference channels. IEEE Transactions on Signal Processing, 62(24), 6481–6495.

    Article  MathSciNet  Google Scholar 

  18. Jiang, C., Shi, Y., Yuan, X., Qin, X., Hou, Y. T., Thomas, W Lou, Kompella, S., & Midkiff, S. F. (2016). Cross-layer optimization for multi-hop wireless networks with successive interference cancellation. IEEE Transactions on Wireless Communications, 15(8), 5819–5831.

    Article  Google Scholar 

  19. Liu, R., Shi, Y., Lui, K. S., Sheng, M., Wang, Y., & Li, Y. (2015). Bandwidth-aware high-throughput routing with successive interference cancellation in multihop wireless networks. IEEE Transactions on Vehicular Technology, 64(12), 5866–5877.

    Article  Google Scholar 

  20. Shi, L., Li, Z., Bi, X., Liao, L., & Xu, J. (2018). Full-duplex multi-hop wireless networks optimization with successive interference cancellation. Sensors, 18(12), 4301.

    Article  Google Scholar 

  21. Jalaian, B. A., Yuan, X., Shi, Y., & Hou, Y. T. (2017). On the integration of sic and mimo dof for interference cancellation in wireless networks. In IEEE international conference on computer communications, 2017.

  22. Ozduran, V. (2018) Advanced successive interference cancellation for non-orthogonal multiple access. In 2018 26th telecommunications forum (TELFOR) (pp. 1–4).

  23. Satrya, G. B., & Shin, S. Y. (2017). Security enhancement to successive interference cancellation algorithm for non-orthogonal multiple access (NOMA). In 2017 IEEE 28th annual international symposium on personal, indoor, and mobile radio communications (PIMRC), (pp. 1–5).

  24. Yida, X., Wang, Q., Yongjun, X., Liu, J., & He, C. (2020). Mpdmac-sic: Priority-based distributed low delay mac with successive interference cancellation for multi-hop industrial wireless networks. Computer Communications, 154, 48–57.

    Article  Google Scholar 

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Acknowledgements

This research was supported by the Key Research and Development Project in Anhui Province(Grant No. 201904a06020024), the National Key Research And Development Plan(Grant No. 2018YFB2000505), and National Natural Science Foundation of China (Grant No. 61806067). A preliminary version of the material in this paper was partially presented in IEEE MSN2020 workshop (2nd International Workshop on Edge Computing and Artificial Intelligence based Sensor-Cloud System (ECAISS)).

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Correspondence to Zhehao Li.

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Shi, L., Li, Z., Shi, Y. et al. An optimal wireless transmission strategy based on coherent beamforming and successive interference cancellation. Wireless Netw 28, 29–43 (2022). https://doi.org/10.1007/s11276-021-02816-7

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