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Power Allocation and Bit Loading for Spatial Multiplexing in MIMO Systems

Zhang, Xi (author)
KTH,Signaler, sensorer och system
Ottersten, Björn, 1961- (author)
KTH,Signaler, sensorer och system,Tal, musik och hörsel
 (creator_code:org_t)
NEW YORK : IEEE, 2003
2003
English.
In: Proceedings IEEE International Conference on Acoustics, Speech, and Signal Processing. - NEW YORK : IEEE. ; , s. 53-56, s. 53-56
  • Conference paper (peer-reviewed)
Abstract Subject headings
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  • The power assignment problem is important for Multiple-Input-Multiple-Output (MIMO) systems to achieve high capacity. Although this problem is solved by well-known water filling algorithms, this does not provide an optimal solution if the system is constrained to a fixed raw bit error rate threshold and to discrete modulation orders. In this work an approximate approach, called QoS based WF, is proposed to solve the power assignment problem with such constrains. It is shown to outperform quantization of the conventional water filling solution and a well known bit loading algorithm (Chow’s algorithm) used in the Digital Subscriber Lines (DSL).

Subject headings

TEKNIK OCH TEKNOLOGIER  -- Elektroteknik och elektronik -- Signalbehandling (hsv//swe)
ENGINEERING AND TECHNOLOGY  -- Electrical Engineering, Electronic Engineering, Information Engineering -- Signal Processing (hsv//eng)
TEKNIK OCH TEKNOLOGIER  -- Elektroteknik och elektronik -- Telekommunikation (hsv//swe)
ENGINEERING AND TECHNOLOGY  -- Electrical Engineering, Electronic Engineering, Information Engineering -- Telecommunications (hsv//eng)
TEKNIK OCH TEKNOLOGIER  -- Maskinteknik -- Strömningsmekanik och akustik (hsv//swe)
ENGINEERING AND TECHNOLOGY  -- Mechanical Engineering -- Fluid Mechanics and Acoustics (hsv//eng)
NATURVETENSKAP  -- Data- och informationsvetenskap -- Datavetenskap (hsv//swe)
NATURAL SCIENCES  -- Computer and Information Sciences -- Computer Sciences (hsv//eng)

Keyword

Bit error rate
DSL
Filling
MIMO
Power distribution
Quantization
Receiving antennas
Scattering
Sensor systems
Singular value decomposition
Acoustics
Computer science

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ref (subject category)
kon (subject category)

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Ottersten, Björn ...
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ENGINEERING AND TECHNOLOGY
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Royal Institute of Technology

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