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Analysis of sum spectrum efficiency in multiple antennas multi-user MIMO cellular system for millimeter wave communications

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Abstract

In this paper, sum spectrum efficiency of two cell multiple-input multiple-output (MIMO) system having multiple antennas at base station (BS) and multiple user equipments (UEs) is analysed. The maximum ratio (MR) and multi-cell minimum mean squared error (M-MMSE) techniques are utilized for detection/precoding in the uplink/downlink scenario. In this paper, two boundary cases of propagation channel model: line of sight (LoS) and non-line of sight (NLoS), and generalized propagation channel model of millimeter wave (mmWave) are compared using MR and MMSE detection techniques. The closed bound expressions of sum spectrum efficiency of MR are expressed and simulated, whereas for M-MMSE, Monte-Carlo simulations are performed on the basis of its weighting vector. The fundamental limits on the system performance, using large antenna arrays and many UEs satisfying practical constraints like desired signal to noise ratio (SNR), low complexity in signal processing, gain of inter cell interference and finite-dimensional channels are analysed.

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References

  1. Marzetta T L 2010 Noncooperative cellular wireless with unlimited numbers of base station antennas. IEEE Trans. Wirel. Commun. 9(11): 3590–3600

    Article  Google Scholar 

  2. Rusek F, Persson D, Lau B K, Larsson E G, Marzetta T L, Edfors O and Tufvesson F 2013 Scaling up MIMO: opportunities and challenges with very large arrays. IEEE Signal Process. Mag. 30(1): 40–60

    Article  Google Scholar 

  3. Larsson E G, Edfors O, Tufvesson F E and Marzetta T L 2014 Massive MIMO for next generation wireless systems IEEE Commun. Mag. 52(2): 186–195

    Article  Google Scholar 

  4. Wyner A D 1994 Shannon-theoretic approach to Gaussian cellular multiple-access channel. IEEE Trans. Inf. Theory 40(6): 1713–1727

    Article  MathSciNet  Google Scholar 

  5. Bjornson E, Hoydis J and Sanguinetti L 2017 Massive MIMO networks: spectral, energy, and hardware efficiency. Found. Trends 11(3–4): 154–655

    Google Scholar 

  6. Shepard C, Yu H, Anand N, Li E, Marzetta T, Yang R and Zhong L 2012 Argos: practical many-antenna base stations. In: Proc. ACM MobiCom, Istanbul, Turkey. pp. 53–64

  7. Shepard C, Ding J, Guerra R E and Zhong L 2016 Understanding real many-antenna MU-MIMO channels. In: 50th Asilomar conference on signals, systems and computers, Pacific Grove, CA

  8. Ngo H Q, Larsson E G and Marzetta T L 2013 Energy and spectral efficiency of very large multiuser MIMO systems. IEEE Trans. Commun. 61(4): 1436–1449

    Article  Google Scholar 

  9. Cao J, Wang D, Li J and Sun Q 2017 Uplink spectral efficiency analysis of multi-cell multi-user massive MIMO over correlated Ricean channel. Sci. China Inf. Sci. 61: 1–14

    MathSciNet  Google Scholar 

  10. Kazemi M and Aghaeinia H 2016 A lower bound on achievable rate of MRT precoding in multicell multiuser massive MIMO networks with Rician flat fading. Int. J. Commun. Syst. 29(18): 2632–2649

    Article  Google Scholar 

  11. Tataria H, Smith P J, Greenstein L J, Dmochowski P A and Matthaiou M 2017 Impact of line-of-sight and unequal spatial correlation on uplink MU-MIMO systems. IEEE Wirel. Commun. Lett. 6(5): 634–637

    Article  Google Scholar 

  12. Bai T and Heath R W 2015 Coverage and rate analysis for millimeter-wave cellular networks. IEEE Trans. Wirel. Commun. 14(2): 1100–1114

    Article  Google Scholar 

  13. Sayeed A and Brady J 2013 Beamspace MIMO for high-dimensional multiuser communication at millimeter-wave frequencies. In: GLOBECOM – IEEE Global Telecommunication Conference, pp. 3679–3684

  14. Brady J, Behdad N and Sayeed A M 2013 Beamspace MIMO for millimeter-wave communications: System architecture, modeling, analysis, and measurements. IEEE Trans. Antennas Propag. 61(7): 3814–3827

    Article  Google Scholar 

  15. Ngo H Q 2012 Performance Bounds for Very Large Multiuser MIMO Systems. Licentiate dissertation, Linköping

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Authors and Affiliations

  1. Department of Electronics Technology, Guru Nanak Dev University, Amritsar, India

    Jaipreet Kaur, Maninder Lal Singh & Rajdeep Singh Sohal

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  1. Jaipreet Kaur
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  2. Maninder Lal Singh
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  3. Rajdeep Singh Sohal
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Correspondence to Jaipreet Kaur.

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Kaur, J., Singh, M.L. & Sohal, R.S. Analysis of sum spectrum efficiency in multiple antennas multi-user MIMO cellular system for millimeter wave communications. Sādhanā 44, 180 (2019). https://doi.org/10.1007/s12046-019-1162-5

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  • DOI: https://doi.org/10.1007/s12046-019-1162-5

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