CQI and rank prediction for list sphere decoding and ML MIMO receivers
First Claim
1. A method of calculating rank in a non-linear transceiver in a wireless communication transceiver, comprising:
- receiving a transmission signal at a non-linear receiver;
generating submatrices from a transmission channel over which the transmission signal is received;
performing a Q-R decomposition on the submatrices and deriving respective upper triangle matrices;
determining an effective SNR for one or more possible transmission ranks;
determining a channel capacity metric for all possible ranks of the transmission signal; and
selecting a rank that maximizes channel capacity for transmissions.
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Abstract
Systems and methodologies are described that facilitate integrating a list-sphere decoding design in a multiple input-multiple output (MIMO) wireless communication environment. According to various aspects, optimal rank selection and CQI computation for an optimal rank can be performed in conjunction with a non-linear receiver, such as a maximum likelihood (ML) MMSE receiver, a non-linear receiver with a list-sphere decoder, and the like. Optimal rank selection can be performed using a maximum rank selection protocol, a channel capacity-based protocol, or any other suitable protocol that facilitates rank selection, and CQI information can be generated based in part on effective SNRs determined with regard to a selected optimal rank.
120 Citations
16 Claims
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1. A method of calculating rank in a non-linear transceiver in a wireless communication transceiver, comprising:
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receiving a transmission signal at a non-linear receiver; generating submatrices from a transmission channel over which the transmission signal is received; performing a Q-R decomposition on the submatrices and deriving respective upper triangle matrices; determining an effective SNR for one or more possible transmission ranks; determining a channel capacity metric for all possible ranks of the transmission signal; and selecting a rank that maximizes channel capacity for transmissions. - View Dependent Claims (2, 3, 4, 5, 6)
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7. A wireless communication apparatus, comprising:
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means for performing a non-linear decoding protocol on a received multiple-layer signal in a user device; means for generating submatrices from a transmission channel over which the transmission signal is received; means for performing a Q-R decomposition on the submatrices and deriving respective upper triangle matrices; means for determining an effective SNR for one or more possible transmission ranks; means for determining a channel capacity metric for each possible rank of the received signal; and means for transmitting information related to an optimal rank with channel quality indicator (CQI) information over a reverse link control channel. - View Dependent Claims (8, 9, 10)
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11. A computer-readable medium having stored thereon computer-executable instructions for:
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employing a non-linear decoding protocol to decode a received multiple-layer signal in a user device; generating submatrices from a transmission channel over which the transmission signal is received; performing a Q-R decomposition on the submatrices and deriving respective upper triangle matrices; determining an effective SNR for one or more possible transmission ranks; determining a channel capacity metric for all possible ranks of the transmission signal; and selecting a rank that maximizes channel capacity for transmissions. - View Dependent Claims (12, 13, 14, 15)
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16. A method of calculating rank in a non-linear transceiver in a wireless communication transceiver, comprising:
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receiving a transmission signal at a non-linear receiver including a plurality of antennas; generating submatrices from a transmission channel over which the transmission signal is received; performing a Q-R decomposition on the submatrices and deriving respective upper triangle matrices; determining an effective SNR for one or more possible transmission ranks, each of said ranks corresponding to a corresponding number of spatial streams mapped to said plurality of antennas; determining a channel capacity metric for all possible ranks of the transmission signal; and selecting a rank that maximizes channel capacity for transmissions.
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Specification