Energy-Efficiency (EE) Performance for 5G Wireless Systems Under The Presence Of Hardware Impairments

International Journal of Electronics and Communication Engineering
© 2019 by SSRG - IJECE Journal
Volume 6 Issue 8
Year of Publication : 2019
Authors : Hernan X. Cordova J.
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How to Cite?

Hernan X. Cordova J., "Energy-Efficiency (EE) Performance for 5G Wireless Systems Under The Presence Of Hardware Impairments," SSRG International Journal of Electronics and Communication Engineering, vol. 6,  no. 8, pp. 31-37, 2019. Crossref, https://doi.org/10.14445/23488549/IJECE-V6I8P105

Abstract:

Fulfilling mobile data demands such as high-resolution (lower delay) applications, videos, IoT, videogames, virtual and augmented reality is expected to increase the amount of energy consumed by mobile networks. Massive MIMO is expected to play a key role in meeting this demand by significantly increasing the number of antennas at the base stations (BS). The growing amount of demand for mobile applications and the corresponding Radiofrequency (RF) architecture will have an impact on the energy consumed at the base station. It is known that within the mobile operators, base stations (BS) are the most energy-consuming entities and account for more than 50% of the total power consumption. To manage this energy challenge, a new metric has been introduced called “Energy-Efficiency (EE)”, measured in bits/Joule. Itis often encountered in the literature that hardware circuitry’s impact is best utterly simplified; however, at expected operating frequencies in 5G wireless systems (i.e., massive MIMO to play a key role), these effects cannot be neglected and need to be modeled properly. We further enhance this model and delivered performance simulations to analyze the EE performance under different channel gains and these hardware imperfections.

Keywords:

Massive MIMO, 5G, Energy Efficiency (EE).

References:

[1] ITU, “Minimum requirements related to technical performance for IMT2020 radio interface(s),” ITU-R M.2410-0, Tech. Rep., Nov. 2017
[2] Report ITU-R M.2083. IMT Vision—Framework and Overall Objectives of the Future Development of IMT for 2020 and Beyond; ITU: Geneva, Switzerland, 2015; p. 21.
[3] CISCO. Cisco Visual Networking Index Global Mobile Data Traffic Forecast Up-date, 2016–2021 White Paper; CISCO: San Jose, CA, USA, 2017.
[4] Andrae, A.; Edler, T. On Global Electricity Usage of Communication Technology: Trends to 2030. Challenges 2015, 6, 117–157.
[5] NGMN (Next Generation Mobile Networks) Forum, ”5G White Paper”, March 2015, (online access via:https://www.ngmn.org/fileadmin/ngmn/content/downloads/Technical/2015/NGMN_5G_White_Paper_V1_0.pdf)
[6] Han, C.; Harrold, T.; Armour, S.; Krikidis, I.; Videv, S.; Grant, P.M.; Haas, H.; Thompson, J.S.; Ku, I.; Wang, C.X.; et al. Green radio: Radio techniques to enable energy-efficient wireless networks. IEEE Commun. Mag. 2011, 49, 46–54.
[7] H. Kwon and T. Birdsall, “Channel capacity in bits per joule,” IEEE Journal of Oceanic Engineering, vol. 11, no. 1, pp. 97–99, 1986.
[8] E. Björnson, J. Hoydis, and L. Sanguinetti, “Massive MIMO Networks: Spectral, energy, and hardware efficiency”, Foundations and Trends in Signal Processing, vol. 11, no. 3-4, pp. 154–655, 2017.
[9] Björnson E. and Larsson E., “How Energy-Efficient Can a Wireless Communication System Become?”, arXiv:1812.01688v2 [cs.IT] 10 Jan 2019.
[10] E. Telatar, “Capacity of multi-antenna Gaussian channels,” European Trans. Telecom., vol. 10, no. 6, pp. 585–595, 1999.
[11] Björnson E., MatthaiouM., and DebbahM.“Massive MIMO with Non-Ideal Arbitrary Arrays: Hardware Scaling Laws and Circuit-Aware Design”, IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 29 April, 2015.
[12] AKSHITA ABROL and RAKESH KUMAR JHA, “Power Optimization in 5G Networks: A Step Towards Green Communication”, SPECIAL SECTION ON GREEN COMMUNICATIONS AND NETWORKING FOR 5G WIRELESS, April 2016 (Digital Object Identifier 10.1109/ACCESS.2016.2549641)
[13] A. Fehske, J. Malmodin, G. Biczok, and G. Fettweis, “The Global ´ Footprint of Mobile Communications–The Ecological and Economic Perspective,” IEEE Communications Magazine, an issue on Green Communications, pp. 55–62, August 2011.
[14] G. Auer, V. Giannini, C. Desset, I. Godor, P. Skillermark, M. Olsson, M. A. Imran, D. Sabella, M. J. Gonzalez, O. Blume, and A. Fehske, “How much energy is needed to run a wireless network?” IEEE Wireless Communications, vol. 18, no. 5, pp. 40–49, 2011.
[15] “Why the EU is betting big on 5G,” Research EU Focus Magazine, vol. 15, 2015.
[16] T. S. Rappaport et al., ‘‘Millimeter wave mobile communications for 5G cellular: It will work!’’ IEEE Access, vol. 1, no. 1, pp. 335–349, Aug. 2013.
[17] T. S. Rappaport. “Future Wireless Technologies: MmWave, THz, and beyond”, Millimeter Wave Coalition, NYU THz Seminar Series, Sept 27th, 2018.
[18] OnerOrhan, ElzaErkip, and Sundeep Rangan, “Low Power Analog-to-Digital Conversion in Millimeter-Wave Systems: Impact of Resolution and Bandwidth on Performance”, 2015 Information Theory and Applications Workshop (ITA), San Diego, CA, USA.
[19] A. K. Fletcher, S. Rangan, V. K. Goyal, and K. Ramchandran, “Robust predictive quantization: Analysis and design via convex optimization,” IEEE Journal of Selected Topics in Signal Processing, vol. 1, no. 4, pp. 618-632, Dec. 2007
[20] I. Song, M. Koo, H. Jung, H.-S. Jhon, and H. Shinz, “Optimization of cascode configuration in CMOS low-noise amplifier,” Micr. Opt. Techn. Lett., vol. 50, no. 3, pp. 646–649, Mar. 2008.
[21] D. Petrovic, W. Rave, and G. Fettweis, “Effects of phase noise on OFDM systems with and without PLL: Characterization and compensation,” IEEE Trans. Commun., vol. 55, no. 8, pp. 1607–1616, Aug. 2007.
[22] 0] E. Björnson, L. Sanguinetti, J. Hoydis, and M. Debbah, “Optimal design of energy-efficient multiuser MIMO systems: Is massive MIMO the answer?” IEEE Trans. Wireless Commun., vol. 14, no. 6, pp. 3059–3075, 201
[23] A.M.Nirmala, P.Sakthivel, "Energy Efficiency Routing Based Adaptive Location Update for Wireless Sensor Networks" SSRG International Journal of Computer Science and Engineering 3.9 (2016): 1-5.
[24] Abhay Chander Bhatnagar, Ruchi Varshney and Kumar Manu, "A Review: Energy Efficiency using Various Protocols in Wireless Sensor Networks" SSRG International Journal of Electronics and Communication Engineering 4.4 (2017): 26-29.
[25] Surendra Verma and Dr. K C Mahajan, "A Survey on Energy Efficient Routing Protocols for Wireless Sensor Networks & Comparative analysis with USEP" SSRG International Journal of Electronics and Communication Engineering 3.10 (2016): 14-18.
[26] Anikrishnan V.A, Dr. Revathi Venkataraman, (2015). Secure Data Aggregation and Energy Conservation using a Profile Based Scheme. SSRG International Journal of Computer Science and Engineering 2.4, 8-12.