Language:
English
繁體中文
Help
回圖書館首頁
手機版館藏查詢
Login
Back
Switch To:
Labeled
|
MARC Mode
|
ISBD
Bandwidth efficiency and power effic...
~
Chen, Ning.
Linked to FindBook
Google Book
Amazon
博客來
Bandwidth efficiency and power efficiency issues for wireless transmissions.
Record Type:
Electronic resources : Monograph/item
Title/Author:
Bandwidth efficiency and power efficiency issues for wireless transmissions./
Author:
Chen, Ning.
Description:
128 p.
Notes:
Source: Dissertation Abstracts International, Volume: 67-03, Section: B, page: 1594.
Contained By:
Dissertation Abstracts International67-03B.
Subject:
Engineering, Electronics and Electrical. -
Online resource:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3212207
ISBN:
9780542606168
Bandwidth efficiency and power efficiency issues for wireless transmissions.
Chen, Ning.
Bandwidth efficiency and power efficiency issues for wireless transmissions.
- 128 p.
Source: Dissertation Abstracts International, Volume: 67-03, Section: B, page: 1594.
Thesis (Ph.D.)--Georgia Institute of Technology, 2006.
As wireless communication becomes an ever-more important and pervasive part of our everyday life, system capacity and quality of service issues are becoming more critical. In order to increase the system capacity and improve the quality of service, it is necessary that we pay closer attention to bandwidth and power efficiency issues.
ISBN: 9780542606168Subjects--Topical Terms:
626636
Engineering, Electronics and Electrical.
Bandwidth efficiency and power efficiency issues for wireless transmissions.
LDR
:02921nmm 2200289 4500
001
1832020
005
20070628102633.5
008
130610s2006 eng d
020
$a
9780542606168
035
$a
(UnM)AAI3212207
035
$a
AAI3212207
040
$a
UnM
$c
UnM
100
1
$a
Chen, Ning.
$3
1035601
245
1 0
$a
Bandwidth efficiency and power efficiency issues for wireless transmissions.
300
$a
128 p.
500
$a
Source: Dissertation Abstracts International, Volume: 67-03, Section: B, page: 1594.
500
$a
Adviser: G. Tong Zhou.
502
$a
Thesis (Ph.D.)--Georgia Institute of Technology, 2006.
520
$a
As wireless communication becomes an ever-more important and pervasive part of our everyday life, system capacity and quality of service issues are becoming more critical. In order to increase the system capacity and improve the quality of service, it is necessary that we pay closer attention to bandwidth and power efficiency issues.
520
$a
Orthogonal Frequency Division Multiplexing (OFDM) is a multicarrier modulation technique for high speed data transmission and is generally regarded as bandwidth efficient. However, OFDM signals suffer from high peak-to-average power ratios (PARs) which lead to power inefficiency in the RF portion of the transmitter. Moreover, in OFDM, the well-known pilot tone assisted modulation (PTAM) technique utilizes a number of dedicated training pilots to acquire the channel state information (CSI), resulting in somewhat reduced bandwidth efficiency.
520
$a
In this dissertation, we will address the above mentioned bandwidth and power efficiency issues in wireless transmissions. To avoid bandwidth efficiency loss due to dedicated training, we will first develop a superimposed training framework that can be used to track the frequency selective as well as the Doppler shift characteristics of a channel. Later on, we will propose a generalized superimposed training framework that allows improved channel estimates. To improve the power efficiency, we adopt the selected mapping (SLM) framework to reduce the PARs for both OFDM and forward link Code Division Multiple Access (CDMA). We first propose a dynamic SLM algorithm to greatly reduce the computational requirement of SLM without sacrificing its PAR reducing capability. We propose a number of blind SLM techniques for OFDM and for forward link CDMA; they require no side information and are easy to implement. Our proposed blind SLM technique for OFDM is a novel joint channel estimation and PAR reduction algorithm, for which bandwidth efficiency - power efficiency - complexity - bit error rate tradeoffs are carefully considered.
590
$a
School code: 0078.
650
4
$a
Engineering, Electronics and Electrical.
$3
626636
690
$a
0544
710
2 0
$a
Georgia Institute of Technology.
$3
696730
773
0
$t
Dissertation Abstracts International
$g
67-03B.
790
1 0
$a
Zhou, G. Tong,
$e
advisor
790
$a
0078
791
$a
Ph.D.
792
$a
2006
856
4 0
$u
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3212207
based on 0 review(s)
Location:
ALL
電子資源
Year:
Volume Number:
Items
1 records • Pages 1 •
1
Inventory Number
Location Name
Item Class
Material type
Call number
Usage Class
Loan Status
No. of reservations
Opac note
Attachments
W9222883
電子資源
11.線上閱覽_V
電子書
EB
一般使用(Normal)
On shelf
0
1 records • Pages 1 •
1
Multimedia
Reviews
Add a review
and share your thoughts with other readers
Export
pickup library
Processing
...
Change password
Login