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Journal of Radio Electronics Online scientific journal · eISSN 1684-1719
2019, № 5 · ELECTRODYNAMICS

Ultra Massive MIMO as an alternative to Ultra dense network: Benefits and Challenges

A. Molev-Shteiman1,2

1 Исследовательский центр Нью Джерси, Huawei Technologies
2 New Jersey Research Center, Huawei Technologies, Bridgewater, USA
Full text (PDF) DOI: 10.30898/1684-1719.2019.5.11 EDN FNHCNS

Abstract

This publication contains a general overview of Ultra Massive MIMO (U-M-MIMO) communication technology development over the last decade and comparison of this technology with ultra-dense network communication. We proved that in free space, these two technologies are equivalent. However, taking into account real channel and other practical constrains, each technology has its own advantages and disadvantages. We provide our evaluation of spectral efficiency gain that Massive MIMO (M-MIMO) provides for different channel models (both sub 6GHz and mm Waves). We also outline major challenges faced by M-MIMO technologies, such as channel estimation, cost, and power consumption, and will present most up-to-date solution approaches to resolve these problems. We compare two approaches to reduce M-MIMO cost and power consumption: “hybrid beamforming” vs. “all digital solution” with low resolution ADC’s and DAC’s. We compare two possible modulations (Multi-Carrier vs. Single-Carrier) for M-MIMO.

  • сверхмассивная MIMO
  • сверхплотная сеть
  • фазированная антенная решетка
  • пропускная способность канала M-MIMO
  • оценка канала M-MIMO
  • гибридное формирование лучей и полностью цифровое решение для M-MIMO
  • модуляция с несколькими несущими и с одной несущей для технологии M- MIMO
  • Ultra Massive MIMO
  • ultra dense network
  • Antennas Phased Array
  • M-MIMO Channel Capacity
  • M-MIMO Channel Estimation
  • Hybrid Beamforming vs. All Digital solution for M-MIMO
  • Multi-Carrier vs. Single-Carrier Modulation for M-MIMO
Аннотация (на русском)

Технология Ultra Massive MIMO как альтернатива сверхплотной сети: преимущества и проблемы

Настоящая публикация содержит обзор развития коммуникационной технологии Ultra Massive MIMO (U-M-MIMO) за последнее десятилетие и сравнение этой технологии со сверхплотной сетевой связью. Мы доказали, что в свободном пространстве эти две технологии эквивалентны. Однако, принимая во внимание реальный канал и другие практические ограничения, каждая технология имеет свои преимущества и недостатки. Мы предлагаем нашу оценку увеличения спектральной эффективности, которую обеспечивает Massive MIMO (M-MIMO) для различных моделей каналов (как для частот менее 6 ГГц, так и миллиметровых волн). Мы также опишем основные проблемы, с которыми сталкивается технология M-MIMO, такие как оценка канала, стоимость и энергопотребление, и представим самые современные подходы к решению этих проблем. Мы сравниваем два подхода к снижению стоимости и энергопотребления технологии M-MIMO: «гибридное формирование луча» и «полностью цифровое решение» с АЦП и ЦАП низкого разрешения. Мы сравниваем две возможные модуляции (модуляция с несколькими несущими и с одной несущей) для технологии M-MIMO.

For citation

Molev-Shteiman A. Ultra Massive MIMO as an alternative to Ultra dense network: Benefits and Challenges // Journal of Radio Electronics. – 2019. – No. 5. https://doi.org/10.30898/1684-1719.2019.5.11

References

  1. T.L. Marzetta. Noncooperative Cellular Wireless with Unlimited Numbers of Base Station Antennas. IEEE Trans. on Wireless, 2010, Vol. 9, No. 10.
  2. F. Rusek, D. Persson, B.K. Lau, E.G. Larsson, T.L. Marzetta, O. Edfors, F. Tufvesson. Scaling Up MIMO: Opportunities and Challenges with Very Large Arrays. IEEE Signal Processing Magazine, 2013, Vol.30, No. 1.
  3. H.Q. Ngo, E.G. Larsson, T. L. Marzetta. Energy and Spectral Efficiency of Very Large Multiuser MIMO Systems. IEEE Transactions on Communications, 2013, Vol.61, No. 4.
  4. H.L.Van Trees. Optimal Array Processing. Part IV of Detection, Estimation and Modulation Theory. Wiley, 2002
  5. X. Gao, O. Edfors; F. Rusek; F.Tufvesson. Massive MIMO Performance Evaluation Based on Measured Propagation Data. IEEE Transactions on Wireless Communications, 2015, Vol. 14, No. 7.
  6. 3GPP, "Spatial channel model for multiple input multiple output (MIMO) simulations (release 12)", 3rd Generation Partnership Project.
  7. T, A. Thomas, H.C. Nguyen, G.R. MacCartney, T.S. Rappaport. 3D mmWave Channel Model Proposal. 2014 IEEE 80th Vehicular Technology Conference (VTC2014-Fall).
  8. D. Talbot. Graphene Antennas Would Enable Terabit Wireless Downloads. MIT technology review, 2013, March 5.
  9. F.L. Luo, C. Zhang. Ultra Dense Networks: General Introduction and Design Overview, Signal Processing for 5G: Algorithms and Implementations, Wiley-IEEE Press eBook Chapters, 2016.
  10. G. M. Djuknic, J. Freidenfelds, Y. Okunev. Establishing wireless communications services via high-altitude aeronautical platforms: a concept whose time has come? IEEE Communications Magazine, 1997, Vol. 39, No. 9.
  11. S. Levy. How Google Will Use High-Flying Balloons to Deliver Internet to the Hinterlands. Wired. Retrieved June 15, 2013
  12. G. Mitchell. Facebook's Internet-delivering drone takes flight, USA Today, 2017, June 30.
  13. X. Xiong, X.Wang, X. Gao, X.You. Beam-Domain Channel Estimation for FDD Massive MIMO Systems With Optimal Thresholds. IEEE Transactions on Wireless Communications, 2107, Vol. 16, No. 7.
  14. L.Mailaender, A.Molev-Shteiman, X.F.Qi. Distributed Massive MIMO Channel Estimation and Channel Database Assistance. ICC 2018. Also available on internet: https://arxiv.org/ftp/arxiv/papers/1712/1712.07149.pdf
  15. M.M.Molu; P.Xiao, M. Khalily, K. Cumanan, Lei Zhang; Rahim Tafazolli. Low-Complexity and Robust Hybrid Beamforming Design for Multi-Antenna Communication Systems. IEEE Transactions on Wireless Communications, 2018, Vol. 17, pp. 1445-1459.
  16. W.B.Abbas, F. Gomez-Cuba, M. Zorzi. Millimeter Wave Receiver Efficiency: A Comprehensive Comparison of Beamforming Schemes With Low Resolution ADCs. IEEE Transactions on Wireless Communications, 2017, Vol. 16, No. 12.
  17. S.Payami, F.Tufvesson. Delay spread properties in a measured massive MIMO system at 2.6 GHz. 2013 IEEE 24th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC)
  18. K. Johansson, A. Furuskar, P. Karlsson, J. Zander. Relation between base station characteristics and cost structure in cellular systems. 2004 IEEE 15th International Symposium on Personal, Indoor and Mobile Radio Communications (IEEE Cat. No.04TH8754).