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Channel Modeling and Multi-Cell Hybrid Beamforming for Fifth-Generation Millimeter-Wave Wireless Communications
Başlık:
Channel Modeling and Multi-Cell Hybrid Beamforming for Fifth-Generation Millimeter-Wave Wireless Communications
Yazar:
Sun, Shu, author.
ISBN:
9780355991130
Yazar Ek Girişi:
Fiziksel Tanımlama:
1 electronic resource (351 pages)
Genel Not:
Source: Dissertation Abstracts International, Volume: 79-10(E), Section: B.
Advisors: Theodore S. Rappaport Committee members: Henry Bertoni; I-Tai Lu; Thomas L. Marzetta; Sundeep Rangan.
Özet:
The rapid growth of mobile communications and the soaring popularity of smart.
phones, tablets, and other mobile devices are creating unprecedented challenges for.
wireless service providers to surmount a global bandwidth crunch. This has also.
motivated the evolution of wireless communications from the fourth-generation to.
the fth-generation (5G). To overcome the bandwidth shortage and to meet the.
ever increasing data rate demands expected for 5G systems, the millimeter-wave.
(mmWave) frequency band (usually considered as 30 GHz to 300 GHz) is being explored for cellular communications, where a tremendous amount of raw bandwidth.
exists. Nevertheless, while the knowledge on mmWave propagation channels in.
various outdoor environments is being gained via numerous measurement campaigns.
carried out by both the academia and industry around the world over the past few.
years, channel modeling for 5G including mmWave systems is still ongoing, and the.
system performance, especially combined with the multiple-input multiple-output.
(MIMO) technology, is yet to be fully evaluated.
This thesis investigates some fundamental aspects of 5G channel modeling and.
the evaluation of mmWave MIMO system performance, with the use of multicell.
multi-user analog-digital hybrid beamforming (HBF) approaches. A practical.
omnidirectional path loss synthesizing method and systematic study of various.
omnidirectional path loss models considered by the standards bodies are rst.
demonstrated, followed by the introduction of a 5G channel simulator, NYUSIM.
The thesis then systematically compares the modeling methodology and system.
performance prediction of two popular channel models developed for 5G systems:
the 3rd Generation Partnership Project (3GPP) TR 38.901 Release 14 channel.
model, and the NYUSIM channel model. Next, focuses on shifted to mmWave.
MIMO systems, where a novel channel estimation codebook construction strategy is.
proposed, and multi-cell multi-user system spectral eciency is examined using the.
above two channel models and several HBF approaches, leveraging the coordinated.
multi-point (CoMP) concept. Specically, eigenvalue densities for mmWave channels.
coupled with radio-frequency (RF) precoding are derived, which has never been done.
in the vast literature. Moreover, a general methodology is provided to analytically.
compute the average (expected) per-cell sum spectral eciency of a mmWave.
multi-cell single-stream system using phase-shifter-based analog beamforming and regularized zero-forcing digital beamforming, and the results are validated through.
numerical simulations.
The investigations in this thesis concludes that it is vital to develop an accurate.
channel model applicable for all the potential 5G spectrum, as the channel model.
has a profound impact on deployment decisions and on various metrics, such as.
spectrum eciency, coverage and performance, cell radius, and hardware/signal pro-.
cessing requirements. For instance, compared to NYUSIM, the larger cluster number.
(i.e., more rich multipath) in the 3GPP model results in more eigen channels and.
more similar powers among those eigen channels, thus is advantageous for spatial.
multiplexing. On the other hand, the real-world measurement-based NYUSIM.
channel exhibits sparsity and has fewer but stronger dominant eigenmodes, hence.
generating higher spectral eciency when combined with appropriate HBF procedures.
Numerical results show that CoMP based on the signal-to-leakage-plus-noise.
ratio (SLNR) method provides highest spectral eciency in most cases (e.g., up to.
67% higher spectral eciency for the weakest 5% of users as compared to the non-.
CoMP case), thus is worth using in mmWave multi-cell networks. Furthermore, the.
benets of multi-cell base station coordination (as opposed to the no-coordination.
case) are ultimately governed by the underlying propagation model, as well as the.
aggregate interference levels proportional to the cell radius and the number of users.
per cell. Specically, a relatively small cell radius (e.g., 50 m) and a small number.
of users (e.g., three) per cell usually give rise to high per-user spectral eciency.
given a constant transmit power for each user.
Notlar:
School code: 1988
Tüzel Kişi Ek Girişi:
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Yer Numarası | Demirbaş Numarası | Shelf Location | Lokasyon / Statüsü / İade Tarihi |
---|---|---|---|
XX(679009.1) | 679009-1001 | Proquest E-Tez Koleksiyonu | Arıyor... |
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