TY - JOUR
T1 - Massive MIMO-NOMA Networks With Multi-Polarized Antennas
AU - Sousa De Sena, Arthur
AU - Benevides Da Costa, Daniel
AU - Ding, Zhiguo
AU - Nardelli, Pedro H.J.
N1 - Funding Information:
The work of D. B. da Costa was supported in part by the Brazilian Research, Development, and Innovation Agency-CNPq under Grant no. 302863/2017-6, by the Advisory Board of the Ceará Council of Scientific and Technological Development (FUNCAP) under Grant Edital PRONEM, 01/2016, and by Nokia Foundation through the Nokia Visiting Professors Program under Project 201900134. The work of Z. Ding was supported in part by the U.K. Engineering and Physical Sciences Research Council (EPSRC) under Grant no. EP/P009719/2 and by H2020-MSCA-RISE-2015 under Grant no. 690750. The work of P. H. J. Nardelli was supported in part by the Academy of Finland via: (a) ee-IoT project under Grant no. 319009, (b) Framework for the Identification of Rare Events via Machine learning and IoT Networks (FIREMAN) consortium under Grant CHIST-ERA/n.326270, and (c) EnergyNet research fellowship under Grants no. 321265 and no. 328869. This article was presented at the IEEE Global Communications Conference (GLOBECOM), Waikoloa, HI, USA
Funding Information:
Manuscript received April 4, 2019; revised June 30, 2019; accepted August 23, 2019. Date of publication September 4, 2019; date of current version December 10, 2019. The work of D. B. da Costa was supported in part by the Brazilian Research, Development, and Innovation Agency–CNPq under Grant no. 302863/2017-6, by the Advisory Board of the Ceará Council of Scientific and Technological Development (FUNCAP) under Grant Edital PRONEM, 01/2016, and by Nokia Foundation through the Nokia Visiting Professors Program under Project 201900134. The work of Z. Ding was supported in part by the U.K. Engineering and Physical Sciences Research Council (EPSRC) under Grant no. EP/P009719/2 and by H2020-MSCA-RISE-2015 under Grant no. 690750. The work of P. H. J. Nardelli was supported in part by the Academy of Finland via: (a) ee-IoT project under Grant no. 319009, (b) Framework for the Identification of Rare Events via Machine learning and IoT Networks (FIREMAN) consortium under Grant CHIST-ERA/n.326270, and (c) EnergyNet research fellowship under Grants no. 321265 and no. 328869. This article was presented at the IEEE Global Communications Conference (GLOBECOM), Waikoloa, HI, USA, December 2019. The associate editor coordinating the review of this article and approving it for publication was J. Zhang. (Corresponding author: Daniel Benevides da Costa.) A. Sousa de Sena was with the Department of Teleinformatics Engineering, Federal University of Ceará, Fortaleza 60455-760, Brazil. He is now with the Department of Electrical Engineering, Lappeenranta University of Technology, 34 53850 Yliopistonkatu, Finland (e-mail: [email protected]).
Publisher Copyright:
© 2002-2012 IEEE.
PY - 2019/12
Y1 - 2019/12
N2 - This paper aims to design and evaluate the performance of multi-cluster multi-user dual-polarized massive multiple-input multiple-output (MIMO) systems with non-orthogonal multiple access (NOMA). Assuming the downlink mode in which a single base station communicates with multiple users, with all terminals being equipped with multiple co-located dual-polarized antennas, two precoder designs are proposed: (i) the first one aims to maximize the number of user groups that are simultaneously served within a cluster; and (ii) the second approach aims to provide further improvements compared to the first one by exploring polarization diversity. Closed-form expressions for the outage probability are derived for both approaches, based on which the respective asymptotic studies are carried out and the diversity gains are determined. The ergodic sum-rates are also derived. Representative numerical examples are presented along with insightful discussions. For instance, our results show that the proposed dual-polarized MIMO-NOMA designs outperform conventional single-polarized systems, even for high cross-polar interference. Simulation results are plotted to corroborate the analytical framework and analysis.
AB - This paper aims to design and evaluate the performance of multi-cluster multi-user dual-polarized massive multiple-input multiple-output (MIMO) systems with non-orthogonal multiple access (NOMA). Assuming the downlink mode in which a single base station communicates with multiple users, with all terminals being equipped with multiple co-located dual-polarized antennas, two precoder designs are proposed: (i) the first one aims to maximize the number of user groups that are simultaneously served within a cluster; and (ii) the second approach aims to provide further improvements compared to the first one by exploring polarization diversity. Closed-form expressions for the outage probability are derived for both approaches, based on which the respective asymptotic studies are carried out and the diversity gains are determined. The ergodic sum-rates are also derived. Representative numerical examples are presented along with insightful discussions. For instance, our results show that the proposed dual-polarized MIMO-NOMA designs outperform conventional single-polarized systems, even for high cross-polar interference. Simulation results are plotted to corroborate the analytical framework and analysis.
KW - massive MIMO
KW - multi-polarized antennas
KW - Non-orthogonal multiple access (NOMA)
UR - http://www.scopus.com/inward/record.url?scp=85076708019&partnerID=8YFLogxK
U2 - 10.1109/TWC.2019.2937868
DO - 10.1109/TWC.2019.2937868
M3 - Article
AN - SCOPUS:85076708019
SN - 1536-1276
VL - 18
SP - 5630
EP - 5642
JO - IEEE Transactions on Wireless Communications
JF - IEEE Transactions on Wireless Communications
IS - 12
M1 - 8824220
ER -