"JOURNAL OF RADIO ELECTRONICS" (Zhurnal Radioelektroniki ISSN 1684-1719, N 5, 2019

contents of issue      DOI  10.30898/1684-1719.2019.5.11     full text in English (pdf)  

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

Arkady Molev-Shteiman

New Jersey Research Center, Huawei Technologies, Bridgewater, NJ, USA

 

The paper is received on May 6, 2019

 

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.

Keywords: 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.

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).

 

For citation:

Arkady.Molev-Steiman. Ultra Massive MIMO as an alternative to Ultra dense network: Benefits and Challenges. Zhurnal Radioelektroniki - Journal of Radio Electronics. 2019. No.5. Available at http://jre.cplire.ru/jre/may19/11/text.pdf

DOI  10.30898/1684-1719.2019.5.11