TY - JOUR
T1 - Massive MIMO-NOMA networks with successive sub-array activation
AU - Sousa De Sena, Arthur
AU - Da Costa, Daniel Benevides
AU - Ding, Zhiguo
AU - Nardelli, Pedro H.J.
AU - Dias, Ugo Silva
AU - Papadias, Constantinos B.
N1 - Funding Information:
Manuscript received June 17, 2019; revised September 26, 2019 and November 19, 2019; accepted November 21, 2019. Date of publication December 4, 2019; date of current version March 10, 2020. The work of A. Sousa de Sena and P. H. J. Nardelli was supported in part by the Academy of Finland via the ee-IoT Project under Grant n.319009, in part by the Framework for the Identification of Rare Events via Machine learning and IoT Networks (FIREMAN) Consortium under Grant CHIST-ERA/n.326270, and in part by the EnergyNet Research Fellowship under Grant n.321265 and Grant n.328869. The work of D. B. da Costa was supported in part by the Brazilian Research, Development and Innovation Agency-CNPq under Grant 302863/2017-6, in part by the Advisory Board of the Ceará Council of Scientific and Technological Development (FUNCAP) under Grant Edital PRONEM, 01/2016, and in part by the Nokia Foundation through the Nokia Visiting Professors Program under Project 201900134. The work of Z. Ding was supported in part by the UK EPSRC under Grant EP/P009719/2 and in part by the H2020-MSCA-RISE-2015 under Grant 690750. The work of U. S. Dias was supported in part by the National Council for Scientific and Technological Development-CNPq under Grant 311796/2018-4, and in part by the National School of Public Administration, Government of Brazil under Grant TED-UnB-ENAP 83/2018. The associate editor coordinating the review of this article and approving it for publication was T. Q. Duong. (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, 53850 Lappeenranta, Finland (e-mail: [email protected]).
Publisher Copyright:
© 2002-2012 IEEE.
PY - 2020/3
Y1 - 2020/3
N2 - In this paper, we propose a novel successive sub-array activation (SSAA) diversity scheme for a massive multiple-input multiple-output (MIMO) system in combination with non-orthogonal multiple access (NOMA). Considering a single-cell multi-cluster downlink scenario, where the base station (BS) sends redundant symbols through multiple transmit sub-arrays to multi-antenna receivers, a low-complexity two-stage beamformer, that is constructed based only on the long-term channel statistical information, is proposed. An in-depth analytical analysis is carried out, in which an exact closed-form expression for the outage probability is derived. A high signal-to-noise ratio (SNR) outage approximation is obtained and the system diversity order is determined. The ergodic sum-rate is also investigated, in which a closed-form solution is evaluated considering a particular case. Numerical and simulation results are provided to validate the analytical analysis and to demonstrate the performance superiority of the proposed SSAA scheme. For example, our results show that the proposed system operating with SSAA outperforms conventional full array massive MIMO setups.
AB - In this paper, we propose a novel successive sub-array activation (SSAA) diversity scheme for a massive multiple-input multiple-output (MIMO) system in combination with non-orthogonal multiple access (NOMA). Considering a single-cell multi-cluster downlink scenario, where the base station (BS) sends redundant symbols through multiple transmit sub-arrays to multi-antenna receivers, a low-complexity two-stage beamformer, that is constructed based only on the long-term channel statistical information, is proposed. An in-depth analytical analysis is carried out, in which an exact closed-form expression for the outage probability is derived. A high signal-to-noise ratio (SNR) outage approximation is obtained and the system diversity order is determined. The ergodic sum-rate is also investigated, in which a closed-form solution is evaluated considering a particular case. Numerical and simulation results are provided to validate the analytical analysis and to demonstrate the performance superiority of the proposed SSAA scheme. For example, our results show that the proposed system operating with SSAA outperforms conventional full array massive MIMO setups.
KW - massive MIMO
KW - Non-orthogonal multiple access (NOMA)
KW - successive sub-array activation
UR - http://www.scopus.com/inward/record.url?scp=85081733547&partnerID=8YFLogxK
U2 - 10.1109/TWC.2019.2955647
DO - 10.1109/TWC.2019.2955647
M3 - Article
AN - SCOPUS:85081733547
SN - 1536-1276
VL - 19
SP - 1622
EP - 1635
JO - IEEE Transactions on Wireless Communications
JF - IEEE Transactions on Wireless Communications
IS - 3
M1 - 8922898
ER -