2008
DOI: 10.2298/fuee0802167a
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Modulation-mode and power assignment in SVD-equalized MIMO systems

Abstract: Existing bit loading and transmit power allocation techniques are often optimized for maintaining both a fixed transmit power and a fixed target bit-error rate while attempting to maximize the overall data-rate. However, delay-critical real-time interactive applications, such as voice or video transmission, may require a fixed data rate. In this contribution the number of activated layers in a multiple input multiple output (MIMO) system and the number of bits per symbol along with the appropriate allocation o… Show more

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Cited by 19 publications
(25 citation statements)
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“…In order to avoid any signalling overhead, fixed transmission modes are used in this contribution regardless of the channel quality (Ahrens and Lange, 2008). However, the user-specific BER of the uncoded MIMO system is dominated by the specific layers having the lowest SNR's.…”
Section: Performance Analysismentioning
confidence: 99%
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“…In order to avoid any signalling overhead, fixed transmission modes are used in this contribution regardless of the channel quality (Ahrens and Lange, 2008). However, the user-specific BER of the uncoded MIMO system is dominated by the specific layers having the lowest SNR's.…”
Section: Performance Analysismentioning
confidence: 99%
“…The power to be allocated to each activated MIMO layer at the time m can be shown to be calculated as follows (Ahrens and Lange, 2008): …”
Section: Performance Analysismentioning
confidence: 99%
See 1 more Smart Citation
“…which is often used as a quality parameter (Ahrens and Lange, 2008). The relationship between the signal-to-noise ratio ρ = U 2 A /U 2 R and the bit-error probability evaluated for AWGN channels and M-ary Quadrature Amplitude Modulation (QAM) is given by (Proakis, 2000) …”
Section: Optimization Objectivesmentioning
confidence: 99%
“…However, as shown in (Ahrens and Lange, 2009) a vector quantizer (VQ) can be used to keep the signalling overhead moderate. Here, a VQ for the power allocation parameters instead of the singular values guarantees a better adaption at a given codebook size, since the power level vectors has less or equal dimensions than the singularvalue vectors (Ahrens and Lange, 2009). Moreover, its elements are much smaller digits ranged from 0 to 1, rather than from 0 to +∞ in the singular-value vector case.…”
Section: Optimization Objectivesmentioning
confidence: 99%