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A Study on the Resource Block Allocation Method to Enhance the Total Energy Efficiency for LTE-A Networks

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Abstract

Energy-efficient resource allocation in mobile network is of great importance in reducing the total energy consumption of the network and its operational cost, thus realizing green communication. In this study, a novel resource block allocation method to minimize the total energy consumption of a carrier aggregation based LTE-A network by taking into account its energy balance between downlink and uplink is proposed. The resource block allocation problem has been considered and solved in the aspects of (i) optimization of bandwidth and power allocation and (ii) resource block allocation based on the allocated bandwidth and power. A mathematical model and some transformations concerning these aspects have been presented and evaluated by simulation using iteration method. Simulation results show that the proposed model and its solution methods are correct and the proposed method is effective in minimizing total network energy consumption.

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Availability of data and material

Parameters in the experiments of this work are widely used in the previous researches and practice, and comply with the standards of 3GPP and ITU-T. We assure that we will provide the experiment data as much as possible in case reviewers require the transparency of the experiment results of this work.

Code availability

LP codes and Least-square non-linear programming codes of this work used the standard library functions of MATLAB.

References

  1. Sesia, S., & Toufik, I. (2011). Matthew Baker. John Wiley.

    Google Scholar 

  2. Li, Xiuhua, Ge, Xin, Wang, Xiaofei, Cheng, Julian, & Victor, C. M. (2016). Energy efficiency optimization: joint antenna-subcarrier-power allocation in OFDM-DASs. IEEE Transaction Wireless Communication, 15(11), 7470–7483.

    Article  Google Scholar 

  3. Wang, F., Chen, Xu., Song, L., & Han, Z. (2015). Energy-efficient resource allocation for device-to-device underlay communication. IEEE Transaction Wireless Communication, 14(4), 2082–2092.

    Article  Google Scholar 

  4. Venturino, L., Zappone, A., Risi, C., & Buzzi, S. (2015). Energy-efficient scheduling and power allocation in downlink OFDMA networks with base station coordination. IEEE Transaction Wireless Communications, 14(1), 1–14.

    Article  Google Scholar 

  5. Ye, H., Lim, G., Cimini Jr, L. J., & Tan, Z. (2015). Energy-efficient scheduling and resource allocation in uplink OFDMA systems. IEEE Communication Letter., 19(3), 439–442.

    Article  Google Scholar 

  6. Rostami, S., Arshad, K., & Rapajic, P. (2016). Energy-efficient resource allocation for LTE-A networks. IEEE Communication Letters, 20(7), 1429–1432.

    Google Scholar 

  7. Saidul, Kazi Mohammed, Mumtaz, Shahid, Rodriguez, Jonathan, & Aguiar, Rui L. (2014). Novel energy efficient packet-scheduling algorithm for CoMP. Computer communications, 50, 53–63.

    Article  Google Scholar 

  8. “Evolved universal terrestrial radio access(E-UTRA);physical layer procedure(Release 14),” 3GPP TS 36.213 Version 14.1.0, November, 2016.

  9. Verma, D., & Gupta, A. (2017). QoS and energy efficient resource allocation in uplink SC-FDMA aystems-a review. IJEDR, 5(4), 46–48.

    Google Scholar 

  10. Jeen Ann Abraham. (2018). Suresh Gawande, “Analysis and simulation result of uplink SC-FDMA system’s energy efficient resource allocation.” IJETT, 63(1), 28–31.

    Article  Google Scholar 

  11. Gill, P. E., Murray, W., & Wright, M. H. (1981). Practical optimization. Academic Press.

    MATH  Google Scholar 

  12. Gould, N., & Toint, P. L. (2004). Preprocessing for quadratic programming. Math. Programming, Series B., 100, 95–132.

    MathSciNet  MATH  Google Scholar 

  13. Ataee, M., & Mohammadi, A. (2017). Energy-efficient resource allocation for adaptive modulated MIMO–OFDM heterogeneous cloud radio access networks. Wireless Personal Communication, 95(4), 4847–4866.

    Article  Google Scholar 

  14. 3GPP TS 36.101 V 14.13.0, “User Equipment (UE) radio transmission and reception(release 14), 2019–09, http://www.3gpp.org

  15. Kessab A, Kaddour F, Vivier E, Mroueh L, Pischella M, Martins P. 2012. Gain of multiresource block allocation and tuning in the uplink of LTE networks. In: Proceeding of the International Symposium on Wireless Communication Systems (ISWCS), Paris. 321–325

  16. Bazaraa, M. S., Sherali, H. D., & Shetty, C. M. (2006). Nonlinear programming: theory and algorithms. Wiley.

    Book  Google Scholar 

  17. Kawser, M. T., Farid, H. M. A. B., Hasin, A. R., Sadik, A. M. J., & Razu, I. K. (2012). Performance comparison between round robin and proportional fair scheduling methods for LTE. International Journal of Information Electronics Engineering. https://doi.org/10.7763/IJIEE.2012.V2.186

    Article  Google Scholar 

  18. Kushner, H. J., & Whiting, P. A. (2004). Convergence of proportional-fair sharing algorithms under general conditions. IEEE Transaction Wireless Communication, 3(4), 1250–1259.

    Article  Google Scholar 

  19. Wong, W. K., Tang, H. Y., & Leung, V. C. M. (2004). Token bank fair queuing: a new scheduling algorithm for wireless multimedia services. International Journal of Communications System, 17(6), 591–614.

    Article  Google Scholar 

  20. Kong, Cuiyu, & Hsuan Peng., I. (2017). Tradeoff design of radio resource scheduling for power and spectrum utilizations in LTE uplink systems. Jorunal of Network and Computer Applications, 78, 116–124.

    Article  Google Scholar 

  21. Lai, Wei Kuang, & Tang, Chang-Lung. (2013). QoS-aware downlink packet scheduling for LTE networks. Computer Networks, 57, 1689–1698.

    Article  Google Scholar 

  22. Singh, Upendra, Dua, Amit, Tanwar, Sudeep, et al. (2021). A survey on LTE/LTE-A radio resource allocation techniques for machine-to-machine communication for B5G networks. Special Section Collaborative Intelligence for Internet Vehicles., 9, 107976–107997.

    Google Scholar 

  23. Tata, Chafika, Fellag, Nassima, & Kadoch, Michel. (2020). New courteous algorithm for uplink scheduling in LTE-advanced and 5g networks. Journal of Computer Network Communications. https://doi.org/10.1155/2020/4189789

    Article  Google Scholar 

  24. Uyan, Osman Gokhan, & Gungor, Vehbi Cagri. (2019). QoS-aware LTE-A downlink scheduling algorithm: a case study on edge users. International Journal of Communication system., 32(15), e4066.

    Article  Google Scholar 

  25. Li, Qiyue, Ge, Yuling, Yang, Yangzhao, et al. (2019). An energy efficient uplink scheduling and resource allocation for M2M communications in SC-FDMA based LTE-A networks. Mobile Network Applications. https://doi.org/10.1007/s11036-019-01400-w

    Article  Google Scholar 

  26. Ratheesh, R., & Vetrivelan, Pandu. (2019). EE based on relay station deployment and sleep mode activation of eNBs for 4G LTE-A network. Automatika. https://doi.org/10.1080/00051144.2019.1637054

    Article  Google Scholar 

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Funding

No funding was received to assist with the preparation of this manuscript.

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Authors and Affiliations

  1. Institute of Communication Technology, High-Tech R&D Center, Kim Il Sung University, Pyongyang, Democratic People’s Republic of Korea

    Chol Jong, Jae-Hyon Kim, Chang-Sop Pak & Ji-Hye Ri

  2. Institute of Information Science, Kim Il Sung University, Pyongyang, Democratic People’s Republic of Korea

    Chol-Man Nam

Authors
  1. Chol Jong
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  2. Jae-Hyon Kim
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  3. Chang-Sop Pak
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  4. Chol-Man Nam
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  5. Ji-Hye Ri
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Contributions

CJ: Design of the Work, Proposal of the basic idea, Data analysis and integration, Construction of algorithm, Writing and revision of manuscript. Jae-Hyon Kim: Exploration and analysis of previous research results. Approved the version to be published , C-SP: Mathematical formulation, transformation and expansion. C-MN: Writing calculation program codes and Checking results. J-HR: Writing calculation program codes, Plotting graphs of experiment results and Writing manuscript.

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Correspondence to Chol Jong.

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Jong, C., Kim, JH., Pak, CS. et al. A Study on the Resource Block Allocation Method to Enhance the Total Energy Efficiency for LTE-A Networks. Wireless Pers Commun 123, 2679–2697 (2022). https://doi.org/10.1007/s11277-021-09260-y

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  • DOI: https://doi.org/10.1007/s11277-021-09260-y

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