TY - GEN
T1 - Energy Efficient Massive MIMO Point-to-Point Communications with Physical Layer Security: BPSK vs QPSK Decomposition
AU - Borges, David
AU - Montezuma, Paulo
AU - Dinis, Rui
AU - Viegas, Pedro
N1 - info:eu-repo/grantAgreement/FCT/5876/147328/PT#
info:eu-repo/grantAgreement/FCT/3599-PPCDT/135433/PT#
info:eu-repo/grantAgreement/FCT/5876/147328/PT#
This work was supported in part by FCT - Portuguese Foundation for Science and Technology through the PhD scholarship SFRH/BD/131093/2017, IT UID/EEA/50008/2013 (plurianual founding and project GLANCES), EnAcoMIMOCo EXPL/EEI-TEL/2408/2013 and UID/EEA/50008/2013 - MM5G.
PY - 2019/1/1
Y1 - 2019/1/1
N2 - Massive multiple-input multiple-output systems (mMIMO) are the most prevalent candidates for the next generation of wireless communication. Yet even with mMIMO systems the joint optimization of spectral and energy efficiencies can be only attained by combining high order signal constellations and efficient power amplification. In order to push this limitation, the transmitter can spread the information into several amplification branches, which are the result of the decomposition of multilevel constellation symbols into quasi constant envelope signals. Nevertheless, the high number of antennas involved in this type of communication leads to an increase of the channel matrix’s size and therefore the complexity of the equalization process can create drawbacks for the power consumption and latency. In this paper we will study the combination of a multi-layer transmitter with a low complexity receivers based on an iterative block decision feedback equalizer (IB-DFE). These receivers avoid the matrix inversion operation in the equalizer the feed-forward by replacing it with an equal gain combiner (EGC) or a maximum ratio combiner (MRC) module. Results show that can be used without penalties on performance provided that the number of antennas involved is high.
AB - Massive multiple-input multiple-output systems (mMIMO) are the most prevalent candidates for the next generation of wireless communication. Yet even with mMIMO systems the joint optimization of spectral and energy efficiencies can be only attained by combining high order signal constellations and efficient power amplification. In order to push this limitation, the transmitter can spread the information into several amplification branches, which are the result of the decomposition of multilevel constellation symbols into quasi constant envelope signals. Nevertheless, the high number of antennas involved in this type of communication leads to an increase of the channel matrix’s size and therefore the complexity of the equalization process can create drawbacks for the power consumption and latency. In this paper we will study the combination of a multi-layer transmitter with a low complexity receivers based on an iterative block decision feedback equalizer (IB-DFE). These receivers avoid the matrix inversion operation in the equalizer the feed-forward by replacing it with an equal gain combiner (EGC) or a maximum ratio combiner (MRC) module. Results show that can be used without penalties on performance provided that the number of antennas involved is high.
KW - Constellation shaping
KW - Efficient power amplification
KW - Low complexity detection
KW - Massive MIMO systems
UR - http://www.scopus.com/inward/record.url?scp=85065746891&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-17771-3_25
DO - 10.1007/978-3-030-17771-3_25
M3 - Conference contribution
AN - SCOPUS:85065746891
SN - 978-3-030-17770-6
T3 - IFIP Advances in Information and Communication Technology
SP - 283
EP - 295
BT - Technological Innovation for Industry and Service Systems - 10th IFIP WG 5.5/SOCOLNET Advanced Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS 2019, Proceedings
A2 - Camarinha-Matos, Luis M.
A2 - Almeida, Ricardo
A2 - Oliveira, José
PB - Springer
CY - Cham
T2 - 10th IFIP WG 5.5/SOCOLNET Advanced Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS 2019
Y2 - 8 May 2019 through 10 May 2019
ER -