Performance Evaluation of RZF Precoding in Multi-User MIMO Systems

Simple item page
dc.AffiliationOctober University for modern sciences and Arts (MSA)
dc.contributor.authorSaleeb B.
dc.contributor.authorShehata M.
dc.contributor.authorMostafa H.
dc.contributor.authorFahmy Y.
dc.contributor.otherElectronics and Communications Engineering Department
dc.contributor.otherMSA University
dc.contributor.otherGiza
dc.contributor.other15525
dc.contributor.otherEgypt; Electronics and Communication Engineering Department
dc.contributor.otherCairo University
dc.contributor.otherGiza
dc.contributor.other12613
dc.contributor.otherEgypt; Center for Nano-electronics and Devices Zewail City for Science and Technology
dc.contributor.otherGiza
dc.contributor.other12588
dc.contributor.otherEgypt
dc.date.accessioned2020-01-09T20:40:35Z
dc.date.available2020-01-09T20:40:35Z
dc.date.issued2019
dc.descriptionScopus
dc.description.abstractIn this paper, the transmission performance of the downlink of linearly precodied multi-user multiple input-multiple output (MIMO) systems is investigated. The zero forcing (ZF), regularized ZF (RZF) and minimum mean squared error (MMSE) precoding schemes are considered, and the bit error rate (BER) is adopted as the performance metric of interest. Simulation results indicate that, an adequate BER performance is achieved by the proper control of the design parameters of RZF precoding. Moreover, a relationship between the number of users' antennas and the BS is observed, such that an adequate BER performance is achieved. 2019 IEEE.en_US
dc.description.sponsorshipet al.;IEEE;IEEE Circuits and Systems Society (CAS);Iowa State University;Texas A and M University;The University of Texas at Dallasen_US
dc.identifier.doihttps://doi.org/10.1109/MWSCAS.2019.8885118
dc.identifier.isbn9.78E+12
dc.identifier.issn15483746
dc.identifier.otherhttps://doi.org/10.1109/MWSCAS.2019.8885118
dc.identifier.urihttps://ieeexplore.ieee.org/document/8885118
dc.language.isoEnglishen_US
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.relation.ispartofseriesMidwest Symposium on Circuits and Systems
dc.relation.ispartofseries2019-August
dc.subjectOctober University for Modern Sciences and Arts
dc.subjectجامعة أكتوبر للعلوم الحديثة والآداب
dc.subjectUniversity of Modern Sciences and Arts
dc.subjectMSA University
dc.subjectminimum mean squared error (MMSE)en_US
dc.subjectMultiple input-multiple output (MIMO)en_US
dc.subjectregularized zero forcing (RZF)en_US
dc.subjectzero forcing (ZF).en_US
dc.subjectBit error rateen_US
dc.subjectCodes (symbols)en_US
dc.subjectErrorsen_US
dc.subjectFeedback controlen_US
dc.subjectMean square erroren_US
dc.subjectTelecommunication repeatersen_US
dc.subjectDesign parametersen_US
dc.subjectMinimum mean squared erroren_US
dc.subjectMulti user multiple input multiple outputsen_US
dc.subjectMulti-user MIMO systemsen_US
dc.subjectPerformance metricesen_US
dc.subjectPrecoding schemeen_US
dc.subjectTransmission performanceen_US
dc.subjectZero-forcingen_US
dc.subjectMIMO systemsen_US
dc.titlePerformance Evaluation of RZF Precoding in Multi-User MIMO Systemsen_US
dc.typeConference Paperen_US
dcterms.isReferencedByMehana, A.H., Nosratinia, A., Diversity of MIMO linear precoding (2014) IEEE Transactions on Information Theory, 60 (2), pp. 1019-1038. , Feb; Sifaou, H., Kammoun, A., Sanguinetti, L., Debbah, M., Alouini, M.S., Power efficient low complexity precoding for massive MIMO systems (2014) 2014 IEEE Global Conference on Signal and Information Processing (GlobalSIP), pp. 647-651. , Atlanta, GA; Kolomvakis, N., Coldrey, M., Eriksson, T., Viberg, M., Downlink performance of regularized ZF in massive MIMO systems subject to IQ imbalance (2017) 2017 IEEE International Conference on Communications (ICC), pp. 1-7. , Paris; Sadeghi, M., Sanguinetti, L., Couillet, R., Yuen, C., Large system analysis of power normalization techniques in massive MIMO IEEE Transactions on Vehicular Technology, PP (99), p. 1; Park, S., Park, J., Yazdan, A., Heath, R.W., Optimal user loading in massive MIMO systems with regularized zero forcing precoding (2017) IEEE Wireless Communications Letters, 6 (1), pp. 118-121. , Feb; Zarei, S., Gerstacker, W., Schober, R., A low-complexity linear precoding and power allocation scheme for downlink massive MIMO systems (2013) 2013 Asilomar Conference on Signals, Systems and Computers, pp. 285-290. , Pacific Grove, CA; Xin, Y., Wang, D., Li, J., Zhu, H., Wang, J., You, X., Area spectral efficiency and energy efficiency analysis in downlink massive MIMO systems (2015) 2015 IEEE 82nd Vehicular Technology Conference (VTC2015-Fall), pp. 1-5. , Boston, MA; M�ijller, A., Kammoun, A., Bj�urnson, E., Debbah, M., Efficient linear precoding for massive MIMO systems using truncated polynomial expansion (2014) 2014 IEEE 8th Sensor Array and Multichannel Signal Processing Workshop (SAM), pp. 273-276. , A Coruna; Kammoun, A., M�ijller, A., Bj�urnson, E., Debbah, M., Linear precoding based on polynomial expansion: Large-scale multi-cell MIMO systems (2014) IEEE Journal of Selected Topics in Signal Processing, 8 (5), pp. 861-875. , Oct; Guo, M., Xie, G., Gao, J., Liu, Y., Conditional regularized zero-forcing precoding for multi-cell massive MIMO network (2015) 2015 IEEE Globecom Workshops (GC Wkshps), pp. 1-6. , San Diego, CA; Bj�urnson, E., Sanguinetti, L., Hoydis, J., Debbah, M., Optimal design of energy-efficient multi-user MIMO systems: Is massive MIMO the answer? (2015) IEEE Transactions on Wireless Communications, 14 (6), pp. 3059-3075. , June
dcterms.sourceScopus

Files

Original bundle

Now showing 1 - 1 of 1
Thumbnail Image
Name:
avatar_scholar_256.png
Size:
6.31 KB
Format:
Portable Network Graphics
Description:
Download

Collections

Faculty Of Engineering Research Paper