Presentation 2010-03-05
A Heterogeneous Network System with Flexible Access Points and Protocol-free Signal Processing Part : Part2: Highly Efficient Radio Wave Data Compression Method Employing Compressed Sensing Technology
Doohwan LEE, Takayuki YAMADA, Hiroyuki SHIBA, Yo YAMAGUCHI, Kazuhiro UEHARA,
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Abstract(in English) Rapid developments and changes of wireless radio environments require a unified platform which can flexibly deal with various wireless radio systems. To satisfy this requirement, we proposed a heterogeneous network system which is composed of flexible access points and protocol-free signal processing part. As a partial fulfillment of the proposed system, we employ compressed sensing technology to realize a highly flexible and efficient radio wave data reception and transmission. Compressed sensing is a new framework for solving an ill-posed inverse problem of sparse signal. Direct translation of compressed sensing in the sense of wireless technology is as follow: radio wave data can be received, transmitted, and reconstructed using sub-Nyquist rate information without aliasing provided that radio wave is sparse. Considering the scarce usage of frequency resources, compressed sensing is suitable for various scenarios in wireless technology. To provide a full understanding of our approach, we first provide basic knowledge of compressed sensing. Then, describe new radio wave data compression methods which provide a highly efficient radio wave data transmission.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Compressed sensing / Compressive sampling / Flexible access point / Heterogeneous network system / L1-norm minimization
Paper # RCS2009-322,MoMuC2009-95,SR2009-119,AN2009-88
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Committee RCS
Conference Date 2010/2/24(1days)
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Language ENG
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) A Heterogeneous Network System with Flexible Access Points and Protocol-free Signal Processing Part : Part2: Highly Efficient Radio Wave Data Compression Method Employing Compressed Sensing Technology
Sub Title (in English)
Keyword(1) Compressed sensing
Keyword(2) Compressive sampling
Keyword(3) Flexible access point
Keyword(4) Heterogeneous network system
Keyword(5) L1-norm minimization
1st Author's Name Doohwan LEE
1st Author's Affiliation NTT Network Innovation Laboratories, NTT Corporation()
2nd Author's Name Takayuki YAMADA
2nd Author's Affiliation NTT Network Innovation Laboratories, NTT Corporation
3rd Author's Name Hiroyuki SHIBA
3rd Author's Affiliation NTT Network Innovation Laboratories, NTT Corporation
4th Author's Name Yo YAMAGUCHI
4th Author's Affiliation NTT Network Innovation Laboratories, NTT Corporation
5th Author's Name Kazuhiro UEHARA
5th Author's Affiliation NTT Network Innovation Laboratories, NTT Corporation
Date 2010-03-05
Paper # RCS2009-322,MoMuC2009-95,SR2009-119,AN2009-88
Volume (vol) vol.109
Number (no) 440
Page pp.pp.-
#Pages 6
Date of Issue