東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back to Search results for [ null ]

Switch To: Labeled | MARC Mode | ISBD

Access Point Placement in Massive Mu...

Gopal, Govind Ravikumar.

Linked to FindBook

Google Book

Amazon

博客來

Access Point Placement in Massive Multiple-Input-Multiple-Output Systems.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Access Point Placement in Massive Multiple-Input-Multiple-Output Systems./
Author:	Gopal, Govind Ravikumar.
Published:	Ann Arbor : ProQuest Dissertations & Theses, : 2023,
Description:	155 p.
Notes:	Source: Dissertations Abstracts International, Volume: 85-04, Section: A.
Contained By:	Dissertations Abstracts International85-04A.
Subject:	Electrical engineering. -
Online resource:	https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=30570701
ISBN:	9798380585101

Access Point Placement in Massive Multiple-Input-Multiple-Output Systems.
Gopal, Govind Ravikumar.

Access Point Placement in Massive Multiple-Input-Multiple-Output Systems. - Ann Arbor : ProQuest Dissertations & Theses, 2023 - 155 p.

Source: Dissertations Abstracts International, Volume: 85-04, Section: A.

Thesis (Ph.D.)--University of California, San Diego, 2023.

This item must not be sold to any third party vendors.

The past decade has witnessed the surge of wireless communication technologies, one of which is massive multiple-input-multiple-output (MIMO) which forms a prominent part of 5th generation (5G) and future generations of wireless networks. Among distributed massive MIMO networks, where there are a very large number of antennas physically spread out across a geographical area, one of the degrees of freedom available is access point (AP) placement. In both the traditional small-cell and the more recent cell-free networks, AP placement can be a key enabler of higher throughput or spectral efficiency. Thus, in this dissertation, we study AP placement in both small-cell and cell-free regimes by examining the throughput maximization problem. With the vector quantization (VQ) approach showing similarities to AP placement, we study and utilize it as a starting point for our framework on AP placement formulations.First, the AP placement problem in the small-cell scenario that addresses signal-to-interference-plus-noise ratio (SINR) maximization (as opposed to signal-to-noise ratio (SNR) maximization alone) is studied since inter-cell interference (ICI) is a prevalent feature of small-cell systems. By first establishing that the Lloyd algorithm from VQ that utilizes the squared Euclidean distance as the distortion measure forms a good enough solution for AP placement, the distortion is modified to include inter-cell interference (ICI) and a Lloyd-type algorithm is proposed to solve for the AP locations.Second, the placement solution is extended to hybrid networks consisting of both terrestrial (position-fixed) and unmanned aerial vehicle (UAV) enabled (position-flexible) APs. In this scenario, a Lloyd-type algorithm is used to solve for the positions of the UAV-APs while still accounting for ICI. Additionally, a solution to initialize AP locations for the Lloyd and Lloyd-type algorithms is also discussed. As a further extension, we consider load balancing, which is necessary due to the varied user-AP access resulting from unequal cell occupancies. To address this, two Lloyd-type algorithms are proposed to make the cell occupancies more equal and hence enabling fairness in user-AP access.Third, the throughput problems for AP placement in cell-free networks are studied, namely the sum rate and minimum rate maximization problems. Their solution structures are analyzed and simple supporting examples are provided. The VQ framework is motivated as a practical approach for these problems. Three VQ-based techniques, namely the Lloyd algorithm, the tree-structured VQ (TSVQ), and probability density function optimized VQ (PDFVQ), each with its own advantages for cell-free AP placement, are outlined and their performances compared.Finally, in addition to the AP placement and to make the cell-free system more viable, two important and necessary features, namely user position determination and limited cooperation, are added. A multi-step AP deployment process is designed and demonstrated incorporating these features.

ISBN: 9798380585101Subjects--Topical Terms:

649834
Electrical engineering.
Subjects--Index Terms:

Wireless communication

Access Point Placement in Massive Multiple-Input-Multiple-Output Systems.
LDR:04262nmm a2200385 4500 001 2395729
005 20240517105003.5
006 m o d
007 cr#unu||||||||
008 251215s2023 ||||||||||||||||| ||eng d
020 $a 9798380585101
035 $a (MiAaPQ)AAI30570701
035 $a AAI30570701
040 $a MiAaPQ $c MiAaPQ
100 1 $a Gopal, Govind Ravikumar. $3 3765237
245 1 0 $a Access Point Placement in Massive Multiple-Input-Multiple-Output Systems.
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2023
300 $a 155 p.
500 $a Source: Dissertations Abstracts International, Volume: 85-04, Section: A.
500 $a Advisor: Rao, Bhaskar D.
502 $a Thesis (Ph.D.)--University of California, San Diego, 2023.
506 $a This item must not be sold to any third party vendors.
520 $a The past decade has witnessed the surge of wireless communication technologies, one of which is massive multiple-input-multiple-output (MIMO) which forms a prominent part of 5th generation (5G) and future generations of wireless networks. Among distributed massive MIMO networks, where there are a very large number of antennas physically spread out across a geographical area, one of the degrees of freedom available is access point (AP) placement. In both the traditional small-cell and the more recent cell-free networks, AP placement can be a key enabler of higher throughput or spectral efficiency. Thus, in this dissertation, we study AP placement in both small-cell and cell-free regimes by examining the throughput maximization problem. With the vector quantization (VQ) approach showing similarities to AP placement, we study and utilize it as a starting point for our framework on AP placement formulations.First, the AP placement problem in the small-cell scenario that addresses signal-to-interference-plus-noise ratio (SINR) maximization (as opposed to signal-to-noise ratio (SNR) maximization alone) is studied since inter-cell interference (ICI) is a prevalent feature of small-cell systems. By first establishing that the Lloyd algorithm from VQ that utilizes the squared Euclidean distance as the distortion measure forms a good enough solution for AP placement, the distortion is modified to include inter-cell interference (ICI) and a Lloyd-type algorithm is proposed to solve for the AP locations.Second, the placement solution is extended to hybrid networks consisting of both terrestrial (position-fixed) and unmanned aerial vehicle (UAV) enabled (position-flexible) APs. In this scenario, a Lloyd-type algorithm is used to solve for the positions of the UAV-APs while still accounting for ICI. Additionally, a solution to initialize AP locations for the Lloyd and Lloyd-type algorithms is also discussed. As a further extension, we consider load balancing, which is necessary due to the varied user-AP access resulting from unequal cell occupancies. To address this, two Lloyd-type algorithms are proposed to make the cell occupancies more equal and hence enabling fairness in user-AP access.Third, the throughput problems for AP placement in cell-free networks are studied, namely the sum rate and minimum rate maximization problems. Their solution structures are analyzed and simple supporting examples are provided. The VQ framework is motivated as a practical approach for these problems. Three VQ-based techniques, namely the Lloyd algorithm, the tree-structured VQ (TSVQ), and probability density function optimized VQ (PDFVQ), each with its own advantages for cell-free AP placement, are outlined and their performances compared.Finally, in addition to the AP placement and to make the cell-free system more viable, two important and necessary features, namely user position determination and limited cooperation, are added. A multi-step AP deployment process is designed and demonstrated incorporating these features.
590 $a School code: 0033.
650 4 $a Electrical engineering. $3 649834
650 4 $a Computer engineering. $3 621879
650 4 $a Technical communication. $3 3172863
653 $a Wireless communication
653 $a Vector quantization
653 $a Inter-cell interference
653 $a Cell occupancies
690 $a 0544
690 $a 0643
690 $a 0464
710 2 $a University of California, San Diego. $b Electrical and Computer Engineering. $3 3432690
773 0 $t Dissertations Abstracts International $g 85-04A.
790 $a 0033
791 $a Ph.D.
792 $a 2023
793 $a English
856 4 0 $u https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=30570701