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Power Control Algorithm to Improve Coverage Probability in Heterogeneous Networks

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Abstract

Heterogeneous networks offer a high data rate, increase capacity, enhance quality-of-experience, reduce latency, and decrease power consumption. Despite the advantages, there are several challenges in heterogeneous networks; among them, interference is one of the most significant challenges. Due to densification in a heterogeneous network, interference increases, and consequently, coverage probability decreases. We propose an efficient and faster power control algorithm in the downlink to enhance the coverage probability of the K-tier heterogeneous network. In a system model, we consider the Poisson point process to model base station distribution, and Voronoi tessellation provides coverage areas of the network. We present simulation results to show that the proposed power control algorithm improves the coverage probability as compared to the existing power control algorithm. In comparison with the existing power control algorithm, at − 5 dB target signal-to-interference ratio of macro BS, coverage probability increases by 5.95% and 8.54% for the two-tier and three-tier heterogeneous network, respectively. Furthermore, the convergence rate of the proposed power control algorithm is faster compared to the existing power control algorithm.

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References

  1. Soh, Y. S., Quek, T. Q., Kountouris, M., & Shin, H. (2013). Energy efficient heterogeneous cellular networks. IEEE Journal on Selected Areas in Communications, 31(5), 840–850.

    Article  Google Scholar 

  2. Lopez-Perez, D., Guvenc, I., De la Roche, G., Kountouris, M., Quek, T. Q., & Zhang, J. (2011). Enhanced intercell interference coordination challenges in heterogeneous networks. IEEE Wireless Communications, 18(3), 22–30.

    Article  Google Scholar 

  3. Liang, Y.-S., Chung, W.-H., Ni, G.-K., Chen, Y., Zhang, H., & Kuo, S.-Y. (2012). Resource allocation with interference avoidance in ofdma femtocell networks. IEEE Transactions on Vehicular Technology, 61(5), 2243–2255.

    Article  Google Scholar 

  4. Wildemeersch, M., Quek, T. Q., Kountouris, M., Rabbachin, A., & Slump, C. H. (2014). Successive interference cancellation in heterogeneous networks. IEEE Transactions on Communications, 62(12), 4440–4453.

    Article  Google Scholar 

  5. Maamari, D., Devroye, N., & Tuninetti, D. (2016). Coverage in mmwave cellular networks with base station co-operation. IEEE Transactions on Wireless Communications, 15(4), 2981–2994.

    Article  Google Scholar 

  6. Fadoul, M. M. (2020). Rate and coverage analysis in multi-tier heterogeneous network using stochastic geometry approach. Ad Hoc Networks, 98, 102038.

    Article  Google Scholar 

  7. Dhillon, H. S., Ganti, R. K., Baccelli, F., & Andrews, J. G. (2012). Modeling and analysis of k-tier downlink heterogeneous cellular networks. IEEE Journal on Selected Areas in Communications, 30(3), 550–560.

    Article  Google Scholar 

  8. Yi, W., Liu, Y., & Nallanathan, A. (2017). Modeling and analysis of d2d millimeter-wave networks with Poisson cluster processes. IEEE Transactions on Communications, 65(12), 5574–5588.

    Article  Google Scholar 

  9. Suryaprakash, V., Møller, J., & Fettweis, G. (2014). On the modeling and analysis of heterogeneous radio access networks using a Poisson cluster process. IEEE Transactions on Wireless Communications, 14(2), 1035–1047.

    Article  Google Scholar 

  10. Joshi, S., & Mallik, R. K. (2018). Coverage and interference in d2d networks with Poisson cluster process. IEEE Communications Letters, 22(5), 1098–1101.

    Article  Google Scholar 

  11. Wang, H., Zhou, X., & Reed, M. C. (2014). Coverage and throughput analysis with a non-uniform small cell deployment. IEEE Transactions on Wireless Communications, 13(4), 2047–2059.

    Article  Google Scholar 

  12. Zhang, X., & Haenggi, M. (2014). Cellular network coverage with inter-cell interference coordination and intra-cell diversity. In 2014 IEEE international symposium on information theory (pp. 996–1000). IEEE.

  13. Arabameri, S., Dehghani, M. J., & Haghighat, J. (2019). Improving coverage probability in heterogeneous networks based on Poisson point process. Iranian Journal of Science and Technology, Transactions of Electrical Engineering, 43(3), 415–425.

    Article  Google Scholar 

  14. Çakir, M., & Kalaycioglu, A. (2017). Power adjustment based interference management in dense heterogeneous femtocell networks. In 2017 2nd International conference on computer and communication systems (ICCCS) (pp. 133–137). IEEE.

  15. Chiang, M., Hande, P., Lan, T., Tan, C. W., et al. (2008). Power control in wireless cellular networks. Foundations and Trends® Networking, 2(4), 381–533.

  16. Ghosh, A., Mangalvedhe, N., Ratasuk, R., Mondal, B., Cudak, M., Visotsky, E., et al. (2012). Heterogeneous cellular networks: From theory to practice. IEEE Communications Magazine, 50(6), 54–64.

    Article  Google Scholar 

  17. Tikhomirov, A., Omelyanchuk, E., & Semenova, A. (2018). Recommended 5g frequency bands evaluation. In 2018 Systems of signals generating and processing in the field of on board communications (pp. 1–5). IEEE.

  18. Aurenhammer, F. (1991). Voronoi diagrams’a survey of a fundamental geometric data structure. ACM Computing Surveys (CSUR), 23(3), 345–405.

    Article  Google Scholar 

  19. Mukherjee, A., Bhattacherjee, S., Pal, S., & De, D. (2013). Femtocell based green power consumption methods for mobile network. Computer Networks, 57(1), 162–178.

    Article  Google Scholar 

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Authors and Affiliations

  1. Birla Institute of Technology and Science Pilani, Hyderabad, India

    Sachin Trankatwar & Prashant Wali

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  1. Sachin Trankatwar
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  2. Prashant Wali
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Correspondence to Sachin Trankatwar.

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Trankatwar, S., Wali, P. Power Control Algorithm to Improve Coverage Probability in Heterogeneous Networks. Wireless Pers Commun 121, 1821–1833 (2021). https://doi.org/10.1007/s11277-021-08739-y

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  • DOI: https://doi.org/10.1007/s11277-021-08739-y

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