Real-time measurements and performance analysis of closed-loop MIMO service for mobile operators

Real-time measurements and performance analysis of closed-loop MIMO service for mobile operators

As fifth generation (5G) networks are starting to become commercial, user expectations in terms of new services become high as well. This signifies that mobile communications service providers need to build robust 5G new services as quickly and cost-efficiently as possible. Many new technologies rely on closed-loop (CL) and multiple input multiple output (MIMO) technologies due to emerging cooperation between nodes in next generation networks. In this paper, we first compare different multiantenna transmission modes namely: transmit diversity, open-loop (OL), and CL MIMO spatial multiplexing strategies to provide mobile network operator (MNO) services in terms of their characteristics, ,limitations and benefits. Later we investigate how launching a large-scale CL MIMO deployment strategy can affect the various key performance indicators (KPIs) of the existing services provided by Mobile Network Operators (MNOs) in real-operational network infrastructure in Turkey. Our practical experimental results indicate that, compared to OL MIMO system, CL MIMO can achieve large performance on a practical setup, where up to 3% improvement in cell average throughput, 9% in user throughput, 6% in spectrum efficiency, and 9% in channel quality indicator (CQI) and modulation coding scheme (MCS) are obtained, while reduction by 25% and 17% on sum delay and initial block error rates (IBLER) are observed

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  • 1] 3GPP. Service Requirements for the 5G System Stage 1 (Release 17), TS 22.261 V16.6.0. Technical Specification Group Services and System Aspects, 2019.
  • [2] Chen Y, Bayesteh A, Wu Y, Han S, Taherzadeh, M et al. SCMA: A promising non-orthogonal multiple access technology for 5G networks. In: IEEE 84th Vehicular Technology Conference (VTC-Fall); Montreal, Canada; 2016. pp. 1-6.
  • [3] Vannithamby R, Talwar S. Towards 5G: Applications, Requirements and Candidate Technologies. New York, USA: John Wiley & Sons. 2017.
  • [4] Paleologu C. A preview on MIMO systems in 5G new radio. In: Future Access Enablers for Ubiquitous and Intelligent Infrastructures: Third International Conference; Bucharest, Romania; 2017. pp. 12-14.
  • [5] 3GPP. NR; User Equipment (UE) Radio Transmission and Reception; Part 1: Range 1 Standalone (Release 16), TS 38.101-1 V16.1.0. Technical Specification Group Services and System Aspects, 2019.
  • [6] Chen X, Benjebboui A, Lan Y, Li A, Jiang H. Evaluations of downlink non-orthogonal multiple access (NOMA) combined with SU-MIMO. In: IEEE 25th Annual International Symposium on Personal, Indoor, and Mobile Radio Communication; Washington DC, USA; 2014. pp. 1887-1891.
  • [7] Busari SA, Mumtaz S, Al-Rubaye S, Rodriguez J. 5G millimeter-wave mobile broadband: performance and chal- lenges. IEEE Communications Magazine 2018; 56(6):137-143. doi:10.1109/MCOM.2018.1700878.
  • [8] Olufemi JO, Baptiste V, Rodolphe V, Herve B. Performance analysis of closed-loop MIMO precoder based on the probability of minimum distance. IEEE Transactions on Wireless Communications 2015; 14(4):1849-1857. doi:10.1109/TWC.2014.2374593.
  • [9] Chen X. Experimental investigation and modeling of the throughput of a 2x2 closed-loop MIMO sys- tem in a reverberation chamber. IEEE Transactions on Antennas and Propagation 2014; 62(9):4832-4835. doi:10.1109/TAP.2014.2330599.
  • [10] O’Shea TJ, Erpek T, Clancy TC. Physical layer deep learning of encodings for the MIMO fading channel. In: 55th Annual Allerton Conference on Communication, Control, and Computing; Monticello, USA; 2017. pp. 76-80.
  • [11] Ball CF, Müllner R, Lienhart J, Winkler H. Performance analysis of closed and open loop MIMO in LTE. In: European Wireless Conference; Aalborg, Denmark; 2009. pp. 260-265.
  • [12] Shojaeifard A, Hamdi KA, Alsusa E, So DKC, Tang J. Performance analysis of multi-antenna HetNets. In: IEEE 83rd Vehicular Technology Conference (VTC Spring); Montreal, Canada; 2016. pp. 1-5.
  • [13] Kim I, Um J KA, Park S. Performance analysis of the key aspects affecting capacity of 4G LTE networks. In: International Conference on Information and Communication Technology Convergence; Jeju, South Korea; 2017. pp. 769-771.
  • [14] Pocovi G, Pedersen KI, Soret B. On the impact of precoding errors on ultra-reliable communications. In: Interna- tional Workshop on Multiple Access Communications; Jeju, South Korea; 2016. pp. 45-54.
  • [15] Pedersen KI, Niparko M, Steiner J, Oszmianski J, Mudolo S et al. System level analysis of dynamic user-centric scheduling for a flexible 5G design. In: IEEE Global Communications Conference; Washington, DC, USA; 2016. pp. 1-6.
  • [16] Choi, J, Love DJ, Bidigare P. Downlink training techniques for FDD massive MIMO systems: open-loop and closed-loop training with memory. IEEE Journal of Selected Topics in Signal Processing 2014; 8(5):802-814. doi:10.1109/JSTSP.2014.23130
  • 17] Schulz B. LTE transmission modes and beamforming. White paper, Rohde & Schwarz, 2015.
  • [18] Sergeev V, Davydov A, Morozov G, Orhan O, Lee W. Enhanced precoding design with adaptive beam width for 5G new radio systems. In: IEEE 86th Vehicular Technology Conference (VTC Fall); Toronto, Canada; 2017. pp. 1-5.
  • [19] Yuksekkaya B and Toker, C. Joint transceiver FIR filter design for multiuser MIMO channel shortening equalization and full equalization using channel duality. Turkish Journal of Electrical Engineering & Computer Sciences 2017; 25(5):4077-4090. doi:10.3906/elk-1610-320.
  • [20] Cai L, Pelletier B, Zhang HO, Xi F. Power Control for Closed Loop Transmit Diversity and MIMO in Uplink. US10299227B2, US Patent, 2019.
  • [21] Tong W, JiaJianglei M, ZhuHua M, YuHang X, Fong, Z. Closed Loop MIMO Systems and mMethods. US9271221B2, US Patent, 2016.
  • [22] PoratWee R,Goh, WP,Bourlas Y. Closed Loop MIMO Harmonized Feedback. US9608703B2, US Patent, 2017. [23] Frenger Pål, Jöngren G, Parkvall S. Switching Between Open and Closed loop Multi-stream Transmission. US968514836, US Patent, 2013.
  • [24] Sezgin G, Coskun Y, Basar E, Kurt GK. Performance evaluation of a live multi-site LTE network. IEEE Access 2018; 6(1):49690-49704. doi:10.1109/ACCESS.2018.2868385.
  • [25] Sharda P, Singh H, Sheetal A. Optimisation of LTE system with open-and closed-loop spatial multiplex- ing transmission modes. Australian Journal of Electrical and Electronics Engineering 2017; 14(3):88-92. doi:10.1080/1448837X.2018.1465375.
  • [26] Bhaskar V, John AA. Performance modelling of open loop and closed loop multiuser multiple-input multiple- output-orthogonal frequency division multiplexing systems through channel analysis. IET Communications 2015; 9(11):1355-1366. doi:10.1049/iet-com.2014.0613.
  • [27] Björnson E, Hoydis J, Sanguinetti L. Massive MIMO networks: spectral, energy, and hardware efficiency. New York, USA: Now Foundations and Trends. 2017.
  • [28] 3GPP. LTE Evolved Universal Terrestrial Radio Access (E-UTRA) Physical Layer Procedures (Release 12), TS 36.213 V15.7.0. Technical Specification, 2019.
  • [29] 3GPP. Radio Frequency (RF) System Scenarios (Release 15), TS 25.942 V15.0.0. Technical Specification, 2018.
  • [30] Turk Y, Zeydan E, Akbulut CA. Experimental performance evaluations of CoMP and CA in centralized radio access networks. Telecommunication Systems 2019; 9(11):1355-1366. doi:10.1007/s11235-019-00553.
  • [31] Turk Y, Zeydan E, Akbulut CA. On performance analysis of single frequency network with C-RAN. IEEE Access 2018; 7(1):1502-1519. doi:10.1109/ACCESS.2018.2887005.
  • [32] 3GPP. Base Station (BS) cConformance Testing (Release 16), TS 36.141 V16.5.0. Technical Specification, 2020.
  • [33] Etinger A, Golovachev Y, Shoshanim O, Pinhasi GA, Pinhasi Y. Experimental study of fog and sus- pended water effects on the 5G millimeter wave communication channel. Electronics 2020; 9(5):720-737. doi:10.3390/electronics9050720
Turkish Journal of Electrical Engineering and Computer Sciences-Cover
  • ISSN: 1300-0632
  • Yayın Aralığı: Yılda 6 Sayı
  • Yayıncı: TÜBİTAK
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