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The Application of Multiuser Detection to Spectrally Efficient MIMO or Virtual MIMO SC-FDMA Uplinks in LTE Systems.

dc.contributor.authorBen Salem, Aymen
dc.contributor.supervisorD'Amours, Claude
dc.date.accessioned2013-12-20T15:55:39Z
dc.date.available2013-12-20T15:55:39Z
dc.date.created2014
dc.date.issued2014
dc.degree.disciplineGénie / Engineering
dc.degree.levelmasters
dc.degree.nameMASc
dc.description.abstractSingle Carrier Frequency Division Multiple Access (SC-FDMA) is a multiple access transmission scheme that has been adopted in the 4th generation 3GPP Long Term Evolution (LTE) of cellular systems. In fact, its relatively low peak-to-average power ratio (PAPR) makes it ideal for the uplink transmission where the transmit power efficiency is of paramount importance. Multiple access among users is made possible by assigning different users to different sets of non-overlapping subcarriers. With the current LTE specifications, if an SC-FDMA system is operating at its full capacity and a new user requests channel access, the system redistributes the subcarriers in such a way that it can accommodate all of the users. Having less subcarriers for transmission, every user has to increase its modulation order (for example from QPSK to 16QAM) in order to keep the same transmission rate. However, increasing the modulation order is not always possible in practice and may introduce considerable complexity to the system. The technique presented in this thesis report describes a new way of adding more users to an SC-FDMA system by assigning the same sets of subcarriers to different users. The main advantage of this technique is that it allows the system to accommodate more users than conventional SC-FDMA and this corresponds to increasing the spectral efficiency without requiring a higher modulation order or using more bandwidth. During this work, special attentions wee paid to the cases where two and three source signals are being transmitted on the same set of subcarriers, which leads respectively to doubling and tripling the spectral efficiency. Simulation results show that by using the proposed technique, it is possible to add more users to any SC-FDMA system without increasing the bandwidth or the modulation order while keeping the same performance in terms of bit error rate (BER) as the conventional SC-FDMA. This is realized by slightly increasing the energy per bit to noise power spectral density ratio (Eb/N0) at the transmitters.
dc.embargo.termsimmediate
dc.faculty.departmentScience informatique et génie électrique / Electrical Engineering and Computer Science
dc.identifier.urihttp://hdl.handle.net/10393/30351
dc.identifier.urihttp://dx.doi.org/10.20381/ruor-3376
dc.language.isoen
dc.publisherUniversité d'Ottawa / University of Ottawa
dc.subjectSC-FDMA
dc.subjectSingle Carrier Frequency Division Multiple Access
dc.subjectSC-FDE
dc.subject3GPP Long Term Evolution
dc.subjectSingle Carrier Systems
dc.subjectSingle Carrier Systems
dc.subjectSingle Carrier FDE
dc.subjectSingle Carrier FDMA
dc.subjectLocalized Subcarrier Mapping
dc.subjectDistributed Subcarrier Mapping
dc.subjectOrthogonal Frequency Division Multiple Access
dc.subjectOFDMA
dc.subjectMIMO SC-FDMA
dc.subjectSpatial Diversity Gain
dc.subjectSpatial Multiplexing Gain
dc.subjectMIMO Channel
dc.subjectSIMO Channel
dc.subjectSpace Diversity on Receive Techniques
dc.subjectSelection Combining
dc.subjectEqual-gain Combining
dc.subjectMaximal-ratio Combining
dc.subjectMRC
dc.subjectChannel Equalization
dc.subjectZero-forcing Equalization
dc.subjectMinimum Mean-square Error Equalization
dc.subjectZF
dc.subjectMMSE
dc.subjectSC-FDMA with Multiuser Detection
dc.subjectSpectrally Efficient SC-FDMA with Multiuser Detection
dc.subjectLink Level Simulation
dc.subjectV-blast
dc.titleThe Application of Multiuser Detection to Spectrally Efficient MIMO or Virtual MIMO SC-FDMA Uplinks in LTE Systems.
dc.typeThesis
thesis.degree.disciplineGénie / Engineering
thesis.degree.levelMasters
thesis.degree.nameMASc
uottawa.departmentScience informatique et génie électrique / Electrical Engineering and Computer Science

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