Performance based rank prediction for MIMO design
First Claim
1. A method of rank prediction, comprising:
- calculating MIMO channel matrices corresponding to layer transmissions for each tone;
calculating signal-to-noise ratios (SNRs) for each tone based on the MIMO channel matrices;
mapping the SNRs for each tone to generate effective SNRs for each layer transmission;
selecting a highest packet format (PF) with an SNR threshold less than the effective SNRs for each layer transmission;
selecting an absolute highest PF of the selected highest PF for each layer transmission;
selecting a rank based on the selected absolute highest PF; and
transmitting a ranking to a transmitting side which indicates the layer transmissions to select for transmission so as to maximize spectral efficiency.
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Abstract
The performance of a Single Code Word (SCW) design with low complexity MMSE receiver & rank prediction is similar to the Multiple Code Word (MCW) design with successive interference cancellation (SIC). A method of rank prediction comprises calculating MIMO channel matrices corresponding to layer transmissions for each tone, calculating signal-to-noise ratios (SNRs) for each tone based on the MIMO channel matrices, mapping the SNR for each tone to generate effective SNRs for each layer transmission, selecting a highest packet format (PF) with an SNR threshold less than the effective SNR for each layer transmission, maximizing an over-all spectral efficiency based on the selected highest packet formats for each layer transmission, and selecting a rank based on maximizing an over-all spectral efficiency.
746 Citations
28 Claims
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1. A method of rank prediction, comprising:
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calculating MIMO channel matrices corresponding to layer transmissions for each tone; calculating signal-to-noise ratios (SNRs) for each tone based on the MIMO channel matrices; mapping the SNRs for each tone to generate effective SNRs for each layer transmission; selecting a highest packet format (PF) with an SNR threshold less than the effective SNRs for each layer transmission; selecting an absolute highest PF of the selected highest PF for each layer transmission; selecting a rank based on the selected absolute highest PF; and transmitting a ranking to a transmitting side which indicates the layer transmissions to select for transmission so as to maximize spectral efficiency. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8)
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9. A wireless communications device, comprising:
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means for calculating MIMO channel matrices corresponding to layer transmissions for each tone; means for calculating signal-to-noise ratios (SNRs) for each tone based on the MIMO channel matrices; means for mapping the SNRs for each tone to generate effective SNRs for each layer transmission; means for selecting a highest packet format (PF) with an SNR threshold less than the effective SNRs for each layer transmission; means for selecting an absolute highest PF of the selected highest PF for each layer transmission; means for selecting a rank based on the selected absolute highest PF; and means for transmitting a ranking to a transmitting side which indicates the layer transmissions to select for transmission so as to maximize spectral efficiency. - View Dependent Claims (10, 11, 12)
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13. A processor programmed to execute a non-transitory computer-readable medium of a method of rank prediction to maximize spectral efficiency in a MIMO wireless communication system, the method comprising:
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calculating MIMO channel matrices corresponding to layer transmissions for each tone; calculating signal-to-noise ratios (SNRs) for each tone based on the MIMO channel matrices; mapping the SNRs for each tone to generate effective SNRs for each layer transmission; selecting a highest packet format (PF) with an SNRs threshold less than the effective SNRs for each layer transmission; selecting an absolute highest PF of the selected highest PF for each layer transmission; selecting a rank based on the selected absolute highest PF; and transmitting a ranking to a transmitting side which indicates the layer transmissions to select for transmission so as to maximize spectral efficiency. - View Dependent Claims (14, 15, 16)
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17. A non-transitory computer-readable medium embodying instructions executable by a processor for providing a method of rank prediction to maximize spectral efficiency in a MIMO wireless communication system, the method comprising:
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calculating MINO channel matrices corresponding to layer transmissions for each tone; calculating signal-to-noise ratios (SNRs) for each tone based on the MIMO channel matrices; mapping the SNRs for each tone to generate effective SNRs for each layer transmission; selecting a highest packet format (PF) with an SNR threshold less than the effective SNRs for each layer transmission; selecting an absolute highest PF of the selected highest PF for each layer transmission; selecting a rank based on the selected absolute highest PF; and transmitting a ranking to a transmitting side which indicates the layer transmissions to select for transmission so as to maximize spectral efficiency. - View Dependent Claims (18, 19, 20)
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21. An apparatus for performing rank prediction, comprising:
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a plurality of receiving circuits for receiving calculated MIMO channel matrices corresponding to layer transmissions for each tone and calculating signal-to-noise ratios (SNRs) for each tone based on the MIMO channel matrices; a plurality of capacity mappers, coupled to the plurality of receivers, for mapping the SNRs for each tone to generate effective SNRs for each layer transmission; at least one packet format (PF) selector, coupled to the plurality of capacity mappers, for selecting a highest PF with an SNR threshold less than the effective SNRs for each layer transmission; and a decision unit, coupled to the at least one PF selector, for selecting an absolute highest PF of the selected highest PF for each layer transmission, selecting a rank based on the selected absolute highest PF, and outputting the rank for forwarding to a transmitting side which indicates the layer transmissions to select for transmission so as to maximize spectral efficiency. - View Dependent Claims (22, 23, 24, 25, 26, 27, 28)
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Specification