User selection for massive MIMO under line-of-sight propagation

Chaves, Rafael da Silva; Cetin, Ediz; Lima, Markus V. S.; Alves Martins, Wallace

doi:10.1109/OJCOMS.2022.3172621

Download

Article (Scientific journals)

User selection for massive MIMO under line-of-sight propagation

Chaves, Rafael da Silva; Cetin, Ediz; Lima, Markus V. S. et al.

2022 • In IEEE Open Journal of the Communications Society

Peer Reviewed verified by ORBi

Permalink
https://hdl.handle.net/10993/53182

DOI
10.1109/OJCOMS.2022.3172621

Files Send to Details Statistics Bibliography Similar publications

Files

Full Text

IEEEOJCOMM2022.pdf

Publisher postprint (1.93 MB)

Download

This work is licensed under a Creative Commons Attribution 4.0 License. For more information, see https://creativecommons.org/licenses/by/4.0/

All documents in ORBilu are protected by a user license.

Send to

RIS BibTex APA Chicago Permalink Twitter Linkedin

Details

Keywords :

Massive MIMO; favorable propagation; user selection; line-of-sight channel; inter-channel interference

Abstract :

[en] This paper provides a review of user selection algorithms for massive multiple-input multiple-output (MIMO) systems under the line-of-sight (LoS) propagation model. Although the LoS propagation is extremely important to some promising technologies, like in millimeter-wave communications, massive MIMO systems are rarely studied under this propagation model. This paper fills this gap by providing a comprehensive study encompassing several user selection algorithms, different linear precoders and simulation setups, and also considers the effect of partial channel state information (CSI). One important result is the existence of practical cases in which the LoS propagation model may lead to significant levels of interference among users within a cell; these cases are not satisfactorily addressed by the existing user selection algorithms. Motivated by this issue, a new user selection algorithm based on inter-channel interference (ICI) called ICI-based selection (ICIBS) is proposed. Unlike other techniques, the ICIBS accounts for the ICI in a global manner, thus yielding better results, especially in cases where there are many users interfering with each other. In such scenarios, simulation results show that when compared to the competing algorithms, the proposed approach provided an improvement of at least 10.9% in the maximum throughput and 7.7% in the 95%-probability throughput when half of the users were selected.

Disciplines :

Electrical & electronics engineering

Author, co-author :

Chaves, Rafael da Silva; Federal University of Rio de Janeiro

Cetin, Ediz; Macquarie University

Lima, Markus V. S.; Federal University of Rio de Janeiro

Alves Martins, Wallace ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SigCom

External co-authors :

yes

Language :

English

Title :

User selection for massive MIMO under line-of-sight propagation

Publication date :

May 2022

Journal title :

IEEE Open Journal of the Communications Society

ISSN :

2644-125X

Publisher :

Institute of Electrical and Electronics Engineers (IEEE), New York, United States - New York

Peer reviewed :

Peer Reviewed verified by ORBi

Focus Area :

Security, Reliability and Trust

Available on ORBilu :

since 16 December 2022

Statistics

Number of views

26 (2 by Unilu)

Number of downloads

10 (0 by Unilu)

More statistics

Scopus citations^®

Scopus citations^®
without self-citations

WoS citations^™

Bibliography

T. L. Marzetta, "Noncooperative cellular wireless with unlimited numbers of base station antennas, " IEEE Trans. Wireless Commun., vol. 9, no. 11, pp. 3590-3600, Nov. 2010.
F. Rusek et al., "Scaling up MIMO: Opportunities and challenges with very large arrays, " IEEE Signal Process. Mag., vol. 30, no. 1, pp. 40-60, Jan. 2013.
B. M. Hochwald, T. L. Marzetta, and V. Tarokh, "Multiple-antenna channel hardening and its implications for rate feedback and scheduling, " IEEE Trans. Inf. Theory, vol. 50, no. 9, pp. 1893-1909, Sep. 2004.
E. Björnson, E. G. Larsson, and T. L. Marzetta, "Massive MIMO: Ten myths and one critical question, " IEEE Commun. Mag., vol. 54, no. 2, pp. 114-123, Feb. 2016.
T. V. Chien and E. Björnson, "Massive MIMO communications, " in 5G Mobile Communications. Cham, Switzerland: Springer, 2017, pp. 77-116.
H. Q. Ngo, E. G. Larsson, and T. L. Marzetta, "Aspects of Favorable propagation in massive MIMO, " in Proc. 22nd Eur. Signal Process. Conf., Lisbon, Portugal, Sep. 2014, pp. 76-80.
H. Yang and T. L. Marzetta, "Massive MIMO with max-min power control in line-of-sight propagation environment, " IEEE Trans. Commun., vol. 65, no. 11, pp. 4685-4693, Nov. 2017.
H. Yang, "User scheduling in massive MIMO, " in Proc. IEEE 19th Int. Workshop Signal Process. Adv. Wireless Commun., Kalamata, Greece, Jun. 2018, pp. 1-5.
H. Yang, H. Q. Ngo, and E. G. Larsson, "Multi-cell massive MIMO in LoS, " in Proc. IEEE Global Commun. Conf., Dec. 2018, pp. 1-6.
R. S. Chaves, E. Cetin, M. V. S. Lima, and W. A. Martins, "On the convergence of max-min fairness power allocation in massive MIMO systems, " IEEE Commun. Lett., vol. 24, no. 12, pp. 2873-2877, Dec. 2020.
W. Roh et al., "Millimeter-wave beamforming as an enabling technology for 5G cellular communications: Theoretical feasibility and prototype results, " IEEE Commun. Mag., vol. 52, no. 2, pp. 106-113, Feb. 2014.
A. Alkhateeb, O. El Ayach, G. Leus, and R. W. Heath, "Channel estimation and hybrid precoding for millimeter wave cellular systems, " IEEE J. Sel. Topics Signal Process., vol. 8, no. 5, pp. 831-846, Oct. 2014.
Z. Zhou, J. Fang, L. Yang, H. Li, Z. Chen, and S. Li, "Channel estimation for millimeter-wave multiuser MIMO systems via PARAFAC decomposition, " IEEE Trans. Wireless Commun., vol. 15, no. 11, pp. 7501-7516, Nov. 2016.
E. G. Larsson, T. L. Marzetta, H. Q. Ngo, and H. Yang, "Antenna count for massive MIMO: 1. 9 GHz vs. 60 GHz, " IEEE Commun. Mag., vol. 56, no. 9, pp. 132-137, Sep. 2018.
D. Tse and P. Viswanath, Capacity of Wireless Channels. Cambridge, U. K.: Cambridge Univ. Press, 2005.
X. Gao, O. Edfors, F. Rusek, and F. Tufvesson, "Massive MIMO performance evaluation based on measured propagation data, " IEEE Trans. Wireless Commun., vol. 14, no. 7, pp. 3899-3911, Jul. 2015.
A. Osseiran et al., "Scenarios for 5G mobile and wireless communications: The vision of the METIS project, " IEEE Commun. Mag., vol. 52, no. 5, pp. 26-35, May 2014.
F. Challita, M.-T. Martinez-Ingles, M. Lienard, J.-M. Molina-Garcia-Pardo, and D. P. Gaillot, "Line-of-sight massive MIMO channel characteristics in an indoor scenario at 94 GHz, " IEEE Access, vol. 6, pp. 62361-62370, 2018.
J. Flordelis, F. Rusek, X. Gao, G. Dahman, O. Edfors, and F. Tufvesson, "Spatial separation of closely-located users in measured massive MIMO channels, " IEEE Access, vol. 6, pp. 40253-40266, 2018.
A. Ijaz et al., "Enabling massive IoT in 5G and beyond systems: PHY radio frame design considerations, " IEEE Access, vol. 4, pp. 3322-3339, Jun. 2016.
G. Dimíc and N. D. Sidiropoulos, "On downlink beamforming with greedy user selection: Performance analysis and a simple new algorithm, " IEEE Trans. Signal Process., vol. 53, no. 10, pp. 3857-3868, Oct. 2005.
J. Jiang, R. M. Buehrer, and W. H. Tranter, "Greedy scheduling performance for a zero-forcing dirty-paper coded system, " IEEE Trans. Commun., vol. 54, no. 5, pp. 789-793, May 2006.
T. Yoo and A. Goldsmith, "On the optimality of Multiantenna broadcast scheduling using zero-forcing beamforming, " IEEE J. Sel. Areas Commun., vol. 24, no. 3, pp. 528-541, Mar. 2006.
M. Costa, "Writing on dirty paper, " IEEE Trans. Inf. Theory, vol. 29, no. 3, pp. 439-441, May 1983.
H. Weingarten, Y. Steinberg, and S. S. Shamai, "The capacity region of the Gaussian multiple-input multiple-output broadcast channel, " IEEE Trans. Inf. Theory, vol. 52, no. 9, pp. 3936-3964, Sep. 2006.
M. Benmimoune, E. Driouch, W. Ajib, and D. Massicotte, "Joint transmit antenna selection and user scheduling for massive MIMO systems, " in Proc. IEEE Wireless Commun. Netw. Conf., New Orleans, LA, USA, Mar. 2015, pp. 381-386.
S. Dierks and N. Juenger, "Scheduling for massive MIMO with few excess antennas, " in Proc. 20th Int. ITG Workshop Smart Antennas, Munich, Germany, Mar. 2016, pp. 40-44.
M. Kuerbis, N. M. Balasubramanya, L. Lampe, and A. Lampe, "User scheduling in massive MIMO systems with a large number of devices, " in Proc. IEEE 28th Annu. Int. Symp. Pers. Indoor Mobile Radio Commun., Montreal, QC, Canada, Oct. 2017, pp. 1-6.
H. Liu, H. Gao, S. Yang, and T. Lv, "Low-complexity downlink user selection for massive MIMO systems, " IEEE Syst. J., vol. 11, no. 2, pp. 1072-1083, Jun. 2017.
T. A. Sheikh, J. Bora, and M. A. Hussain, "Sum-rate performance of massive MIMO systems in highly scattering channel with semiorthogonal and random user selection, " Radioelectron. Commun. Syst., vol. 61, no. 12, pp. 547-555, Dec. 2018.
S. Huang, H. Yin, H. Li, and V. C. M. Leung, "Decremental user selection for large-scale multi-user MIMO downlink with zeroforcing Beamforming, " IEEE Wireless Commun. Lett., vol. 1, no. 5, pp. 480-483, Oct. 2012.
A. Farsaei, A. Alvarado, F. M. J. Willems, and U. Gustavsson, "An improved dropping algorithm for line-of-sight massive MIMO with max-min power control, " IEEE Commun. Lett., vol. 23, no. 6, pp. 1109-1112, Jun. 2019.
A. Farsaei, A. Alvarado, F. M. J. Willems, and U. Gustavsson, "An improved dropping algorithm for line-of-sight massive MIMO with Tomlinson-Harashima Precoding, " IEEE Commun. Lett., vol. 23, no. 11, pp. 2099-2103, Nov. 2019.
J. Nam, A. Adhikary, J.-Y. Ahn, and G. Caire, "Joint spatial division and multiplexing: Opportunistic beamforming, user grouping and simplified downlink scheduling, " IEEE J. Sel. Topics Signal Process., vol. 8, no. 5, pp. 876-890, Oct. 2014.
G. Lee and Y. Sung, "A new approach to user scheduling in massive multi-user MIMO broadcast channels, " IEEE Trans. Commun., vol. 66, no. 4, pp. 1481-1495, Apr. 2018.
A. Farsaei, A. Sheikh, U. Gustavsson, A. Alvarado, and F. M. J. Willems, "DropNet: An improved dropping algorithm based on neural networks for line-of-sight massive MIMO, " IEEE Access, vol. 9, pp. 29441-29448, 2021.
R. S. Chaves, E. Cetin, M. V. S. Lima, and W. A. Martins, "User selection based on inter-channel interference for massive MIMO under line-of-sight propagation, " in Proc. XXXIVth General Assem. Scientific Symp. Int. Union Radio Sci., Rome, Aug. 2021, pp. 1-4.
H. L. Van Trees, Optimum Array Processing, 1st ed. New York, NY, USA: Wiley, 2002.
X. Gao, O. Edfors, J. Liu, and F. Tufvesson, "Antenna selection in measured massive MIMO channels using convex optimization, " in Proc. IEEE Globecom Workshops, Atlanta, GA, USA, Dec. 2013, pp. 129-134.
X. Gao, O. Edfors, F. Tufvesson, and E. G. Larsson, "Multi-switch for antenna selection in massive MIMO, " in Proc. IEEE Global Commun. Conf., San Diego, CA, USA, Dec. 2014, pp. 1-6.
X. Gao, O. Edfors, F. Tufvesson, and E. G. Larsson, "Massive MIMO in real propagation environments: Do all antennas contribute equally?" IEEE Trans. Commun., vol. 63, no. 11, pp. 3917-3928, Nov. 2015.
T. L. Marzetta, E. G. Larsson, H. Yang, and H. Q. Ngo, Fundamentals of Massive MIMO, 1st ed. Cambridge, U. K.: Cambridge Univ. Press, 2016.
X. Wu, N. C. Beaulieu, and D. Liu, "On favorable propagation in massive MIMO systems and different antenna configurations, " IEEE Access, vol. 3, pp. 5578-5593, Apr. 2017.
L. Lu, G. Y. Li, A. L. Swindlehurst, A. Ashikhmin, and R. Zhang, "An overview of massive MIMO: Benefits and challenges, " IEEE J. Sel. Topics Signal Process., vol. 8, no. 5, pp. 742-758, Oct. 2014.
H. Yang and T. L. Marzetta, "Max-min SINR dependence on channel correlation in line-of-sight massive MIMO, " in Proc. IEEE Global Commun. Conf., Singapore, Dec. 2017, pp. 1-6.
X. Li, S. Jin, H. A. Suraweera, J. Hou, and X. Gao, "Statistical 3-D beamforming for large-scale MIMO downlink systems over Rician fading channels, " IEEE Trans. Commun., vol. 64, no. 4, pp. 1529-1543, Apr. 2016.
O. Ozdogan, E. Björnson, and E. G. Larsson, "Massive MIMO with spatially correlated Rician fading channels, " IEEE Trans. Commun., vol. 67, no. 5, pp. 3234-3250, May 2019.
J. Mao, J. Gao, Y. Liu, and G. Xie, "Simplified semi-orthogonal user selection for MU-MIMO systems with ZFBF, " IEEE Wireless Commun. Lett., vol. 1, no. 1, pp. 42-45, Feb. 2012.
J. Liu, X. She, and L. Chen, "A low complexity capacity-greedy user selection scheme for zero-forcing Beamforming, " in Proc. IEEE 69th Veh. Technol. Conf., Barcelona, Spain, Apr. 2009, pp. 1-5.
R. S. Chaves, "User Selection for Massive MIMO Under LoS Propagation. " 2022. [Online]. Available: https://github. com/rafaelschaves/user-selection-for-massive-mimounder-los-propagation
E. Björnson, J. Hoydis, and L. Sanguinetti, "Massive MIMO networks: Spectral, energy, and hardware efficiency, " Found. Trends R Signal Process., vol. 11, nos. 3-4, pp. 154-655, 2017.
T. M. Cover and J. A. Thomas, Elements of Information Theory, 2nd ed. Hoboken, NJ, USA: Wiley, 2006.