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Channel Modeling and Multi-Cell Hybr...

New York University Tandon School of Engineering.

Channel Modeling and Multi-Cell Hybrid Beamforming for Fifth-Generation Millimeter-Wave Wireless Communications.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Channel Modeling and Multi-Cell Hybrid Beamforming for Fifth-Generation Millimeter-Wave Wireless Communications.
作者:	Sun, Shu.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, 2018
面頁冊數:	351 p.
附註:	Source: Dissertation Abstracts International, Volume: 79-10(E), Section: B.
附註:	Adviser: Theodore S. Rappaport.
Contained By:	Dissertation Abstracts International79-10B(E).
標題:	Electrical engineering.
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10785415
ISBN:	9780355991130

Channel Modeling and Multi-Cell Hybrid Beamforming for Fifth-Generation Millimeter-Wave Wireless Communications.
Sun, Shu.

Channel Modeling and Multi-Cell Hybrid Beamforming for Fifth-Generation Millimeter-Wave Wireless Communications. - Ann Arbor : ProQuest Dissertations & Theses, 2018 - 351 p.

Source: Dissertation Abstracts International, Volume: 79-10(E), Section: B.

Thesis (Ph.D.)--New York University Tandon School of Engineering, 2018.

This item is not available from ProQuest Dissertations & Theses.

The rapid growth of mobile communications and the soaring popularity of smart.

ISBN: 9780355991130Subjects--Topical Terms:

454503
Electrical engineering.

Channel Modeling and Multi-Cell Hybrid Beamforming for Fifth-Generation Millimeter-Wave Wireless Communications.
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245 1 0 $a Channel Modeling and Multi-Cell Hybrid Beamforming for Fifth-Generation Millimeter-Wave Wireless Communications.
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2018
300 $a 351 p.
500 $a Source: Dissertation Abstracts International, Volume: 79-10(E), Section: B.
500 $a Adviser: Theodore S. Rappaport.
502 $a Thesis (Ph.D.)--New York University Tandon School of Engineering, 2018.
506 $a This item is not available from ProQuest Dissertations & Theses.
520 $a The rapid growth of mobile communications and the soaring popularity of smart.
520 $a phones, tablets, and other mobile devices are creating unprecedented challenges for.
520 $a wireless service providers to surmount a global bandwidth crunch. This has also.
520 $a motivated the evolution of wireless communications from the fourth-generation to.
520 $a the fth-generation (5G). To overcome the bandwidth shortage and to meet the.
520 $a ever increasing data rate demands expected for 5G systems, the millimeter-wave.
520 $a (mmWave) frequency band (usually considered as 30 GHz to 300 GHz) is being explored for cellular communications, where a tremendous amount of raw bandwidth.
520 $a exists. Nevertheless, while the knowledge on mmWave propagation channels in.
520 $a various outdoor environments is being gained via numerous measurement campaigns.
520 $a carried out by both the academia and industry around the world over the past few.
520 $a years, channel modeling for 5G including mmWave systems is still ongoing, and the.
520 $a system performance, especially combined with the multiple-input multiple-output.
520 $a (MIMO) technology, is yet to be fully evaluated.
520 $a This thesis investigates some fundamental aspects of 5G channel modeling and.
520 $a the evaluation of mmWave MIMO system performance, with the use of multicell.
520 $a multi-user analog-digital hybrid beamforming (HBF) approaches. A practical.
520 $a omnidirectional path loss synthesizing method and systematic study of various.
520 $a omnidirectional path loss models considered by the standards bodies are rst.
520 $a demonstrated, followed by the introduction of a 5G channel simulator, NYUSIM.
520 $a The thesis then systematically compares the modeling methodology and system.
520 $a performance prediction of two popular channel models developed for 5G systems:
520 $a the 3rd Generation Partnership Project (3GPP) TR 38.901 Release 14 channel.
520 $a model, and the NYUSIM channel model. Next, focuses on shifted to mmWave.
520 $a MIMO systems, where a novel channel estimation codebook construction strategy is.
520 $a proposed, and multi-cell multi-user system spectral eciency is examined using the.
520 $a above two channel models and several HBF approaches, leveraging the coordinated.
520 $a multi-point (CoMP) concept. Specically, eigenvalue densities for mmWave channels.
520 $a coupled with radio-frequency (RF) precoding are derived, which has never been done.
520 $a in the vast literature. Moreover, a general methodology is provided to analytically.
520 $a compute the average (expected) per-cell sum spectral eciency of a mmWave.
520 $a multi-cell single-stream system using phase-shifter-based analog beamforming and regularized zero-forcing digital beamforming, and the results are validated through.
520 $a numerical simulations.
520 $a The investigations in this thesis concludes that it is vital to develop an accurate.
520 $a channel model applicable for all the potential 5G spectrum, as the channel model.
520 $a has a profound impact on deployment decisions and on various metrics, such as.
520 $a spectrum eciency, coverage and performance, cell radius, and hardware/signal pro-.
520 $a cessing requirements. For instance, compared to NYUSIM, the larger cluster number.
520 $a (i.e., more rich multipath) in the 3GPP model results in more eigen channels and.
520 $a more similar powers among those eigen channels, thus is advantageous for spatial.
520 $a multiplexing. On the other hand, the real-world measurement-based NYUSIM.
520 $a channel exhibits sparsity and has fewer but stronger dominant eigenmodes, hence.
520 $a generating higher spectral eciency when combined with appropriate HBF procedures.
520 $a Numerical results show that CoMP based on the signal-to-leakage-plus-noise.
520 $a ratio (SLNR) method provides highest spectral eciency in most cases (e.g., up to.
520 $a 67% higher spectral eciency for the weakest 5% of users as compared to the non-.
520 $a CoMP case), thus is worth using in mmWave multi-cell networks. Furthermore, the.
520 $a benets of multi-cell base station coordination (as opposed to the no-coordination.
520 $a case) are ultimately governed by the underlying propagation model, as well as the.
520 $a aggregate interference levels proportional to the cell radius and the number of users.
520 $a per cell. Specically, a relatively small cell radius (e.g., 50 m) and a small number.
520 $a of users (e.g., three) per cell usually give rise to high per-user spectral eciency.
520 $a given a constant transmit power for each user.
590 $a School code: 1988.
650 4 $a Electrical engineering. $3 454503
650 4 $a Information technology. $3 184390
690 $a 0544
690 $a 0489
710 2 $a New York University Tandon School of Engineering. $b Electrical and Computer Engineering. $3 826865
773 0 $t Dissertation Abstracts International $g 79-10B(E).
790 $a 1988
791 $a Ph.D.
792 $a 2018
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10785415