WO2011013072A2 - Pilot-based sinr estimation for mimo systems - Google Patents
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- WO2011013072A2 WO2011013072A2 PCT/IB2010/053417 IB2010053417W WO2011013072A2 WO 2011013072 A2 WO2011013072 A2 WO 2011013072A2 IB 2010053417 W IB2010053417 W IB 2010053417W WO 2011013072 A2 WO2011013072 A2 WO 2011013072A2
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L25/00—Baseband systems
- H04L25/02—Details ; arrangements for supplying electrical power along data transmission lines
- H04L25/0202—Channel estimation
- H04L25/0224—Channel estimation using sounding signals
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04B—TRANSMISSION
- H04B7/00—Radio transmission systems, i.e. using radiation field
- H04B7/02—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas
- H04B7/04—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas
- H04B7/06—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station
- H04B7/0613—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station using simultaneous transmission
- H04B7/0615—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station using simultaneous transmission of weighted versions of same signal
- H04B7/0619—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station using simultaneous transmission of weighted versions of same signal using feedback from receiving side
- H04B7/0621—Feedback content
- H04B7/0632—Channel quality parameters, e.g. channel quality indicator [CQI]
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04B—TRANSMISSION
- H04B17/00—Monitoring; Testing
- H04B17/30—Monitoring; Testing of propagation channels
- H04B17/309—Measuring or estimating channel quality parameters
- H04B17/318—Received signal strength
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04B—TRANSMISSION
- H04B17/00—Monitoring; Testing
- H04B17/30—Monitoring; Testing of propagation channels
- H04B17/309—Measuring or estimating channel quality parameters
- H04B17/318—Received signal strength
- H04B17/327—Received signal code power [RSCP]
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04B—TRANSMISSION
- H04B17/00—Monitoring; Testing
- H04B17/30—Monitoring; Testing of propagation channels
- H04B17/309—Measuring or estimating channel quality parameters
- H04B17/336—Signal-to-interference ratio [SIR] or carrier-to-interference ratio [CIR]
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04B—TRANSMISSION
- H04B17/00—Monitoring; Testing
- H04B17/30—Monitoring; Testing of propagation channels
- H04B17/309—Measuring or estimating channel quality parameters
- H04B17/345—Interference values
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04B—TRANSMISSION
- H04B7/00—Radio transmission systems, i.e. using radiation field
- H04B7/02—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas
- H04B7/04—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas
- H04B7/0413—MIMO systems
Definitions
- the present invention generally relates lo SlNR estimation in a wireless network, and more particularly relates to pilot-based SlNR estimation for MlMO systems.
- High-Speed Downlink Packet Access is an enhanced 3G (third generation) mobile telephony communication protocol in the High-Speed Packet Access (HSPA) family.
- HSDPA uses both fast link adaptation and fast user scheduling for enabling very high data rates. Both techniques require the UE (use equipment) to feedback information to a Node B base station relating Io the quality of Uie downlink channel observed by the UE.
- the UE determines the feedback information by estimating S ⁇ NR (signal to interference-pius-noise ratio) on the downlink common pilot channel (CPIC ⁇ ) and then converting this to a channel quality indicator (CQI) using a look-up table.
- S ⁇ NR signal to interference-pius-noise ratio
- the look-up table contains a mapping of SlNR Io transport format (e.g., modulation type, coding rate, number of codes) and is defined in 3GPP TS 25.214. "Physical Layer Procedures (FDD),” Version 7.9.0, Release 7, July 20OK.
- FDD Physical Layer Procedures
- SlNR is typically estimated using a CPICH-based approach as follows.
- a set of combining weights e.g., Rake, G-Rake
- the combining weights are typically denoted by a vector w .
- the common pilot is desprcad using die same finger placements (e.g., Rake fingers, G ⁇ Rake fingers, etc.) as used to formulate the combining weights.
- the sequence of despread vectors during a single slot is given by:
- R x The noise covariance
- Equation (2) The first term in the expression of equation (2) is the desired signal component which has power given by the mean-squared value:
- the true SJNR is a hypothetical value which is not typically computed at the receiver in practice, since the receiver only has available estimates of the net channel response h and the noise covariance R x . not die true values themselves.
- the SINR can be estimated, however, using estimates h and R s of the net channel response and noise covariance, respectively. Unbiased estimates are typically determined from the despread CPJCII as follows:
- Equation (H) the expression of equation (H) is responsible for removing bias in the signal power estimate that occurs due to noise in the estimate of the «et response. Smoothing of the signal mid noise power is typically performed over a number of slots resulting in the SJNR estimate:
- the S[NR estimate is then mapped to a CQl ⁇ alue and fed back on the uplink HS-DPCCH (High Speed Dedicated Physical Control Channel) to inform the Node B of the downlink channel quality.
- HS-DPCCH High Speed Dedicated Physical Control Channel
- the SINR estimate is, implicit!) ' scaled by the power allocated to the CPICH channel since the despread CPICH is used to estimate all quantities.
- the Node B requires an estimate of the SINR that would be experienced on the HS-DSCH (data) channel.
- the data and pilot SINRs are related by a scale factor that is a function of the dala-to-pilot power ratio which is known by the Node 8, and the ratio of the spreading factors on the data and pilot channels which is also known by the Node B.
- the Node B can apply the known scale factor to convert the pilot SINR to a corresponding data SlNR.
- the conventional SlNR estimation approach described above is completely non-parametric. That is, the CPlCH is used to measure the SINR and thus takes into account the instantaneous intra-cell interference, inter-cell interference, noise. RF impairments, etc. without explicitly modeling them.
- the purely non- parametric CPICH-based SINR estimation technique described above is not well suited for multi-antenna systems.
- D- TxAA Dual-Transmit- Adaptive- Arrays
- CI..- 1 Closed-Loop Mode- !
- precoding vectors used for each data stream are drawn from the same codebook as used for CL-I.
- CL- 1 In contrast to CL- 1 , however, D-TxAA has two modes of operation: single-stream mode and dual- stream.
- 1 « single-stream mode, one of four possible precoding vectors from the CL-I codebook is applied to a single data stream.
- dual-stream mode one of two possible orthogonal pairs of precoding vectors are applied to two different data streams, fn the case of dual-stream transmission, the same sei of channelization codes is used for each data stream.
- Precoding can be applied to either single-stream or multi-stream data transmissions in a MlMO system.
- the pilot-based SlNR estimation techniques disclosed herein account for the effect data stream precoding has on signal quality in a MlMC) system.
- code reuse interference arises when spreading codes are reused on tlie data channel.
- the piiot- based SlNR estimation techniques disclosed herein further estimate the effect code reuse interference has on signal quality in a MIMO system. Jn one embodiment, noise power is estimated based on despread pilot symbols in a non-parametric fashion.
- An additional parametric term is provided depending on whether the UE is calculating an SINR estimate in single-stream or multi-stream mode.
- the additional parametric term estimates the code-reuse interference present on the data channel when configured in multi-stream mode.
- the parametric term is a function of the power pet-code allocated to the data channel as well as the estimated effective net response "seen" by each data stream.
- the effective net response accounts for the preceding used on the data channel that does not occur on the pilot channel.
- the signal power is also estimated based on the despread pilot symbols as a function of the estimated effective net response. In this way. mismatches that exist between the data channel and pilot channel because of preceding and code rense interference are inherently accounted for by the SINR estimation embodiments disclosed herein.
- either a single data stream is transmitted from a plurality of antennas or multiple data streams are transmitted from the plurality of antennas using the same set of spreading codes for ail streams. Regardless of the currently transmitted number of streams, S ⁇ NR estimates are required for both single and multiple stream transmission.
- a method for estimating SINR for the single data stream and for the multiple data streams includes calculating a signal power estimate for the single data stream and for each of the multiple data streams that accounts for preceding applied to the corresponding data stream prior to transmission.
- a noise power estimate is calculated for the single data stream as a function of noise covariance and for each of the multiple data streams as a function of the noise covariance and code reuse interference associated with the multiple data streams transmitted using the same set of spreading codes.
- An SINR estimate is calculated for the single data stream and for each of the multiple data streams based on the signal power estimate and the noise power estimate calculated for the corresponding data stream.
- a wireless receiver including a baseband processor is provided for practicing the SINR estimation method.
- Figure 1 illustrates a block diagram of an embodiment of a MlMO system including a wireless transmitter and a wireless receiver.
- Figure 2 illustrates a block diagram of an embodiment of a received signal processing module included in or associated with a baseband processor of the receiver of Figure 1.
- Figure 3 illustrates a block diagram of an embodiment of a single-stream SINR estimation module included in or associated with a baseband processor of the receiver of Figure I.
- Figure 4 illustrates a block diagram of an embodiment of a multi-stream SINR estimation module included in or associated with a baseband processor of the receiver of Figure I .
- Figure I illustrates an embodiment of a MlMO system 100. fhe MfMO system
- the 100 includes a transmitter 110 such as a Node S base station and a receiver 120 such as UE.
- the transmitter 110 and receiver 120 each have a plurality of antennas 102, 103, 122, 123 for implementing MIMO communication.
- Data can be transmitted in a single stream or multiple streams from the transmitter UO to the receiver 120 over a channel depending OH the mode of communication.
- operation of the transmitter 1 10 and receiver 120 are described next with reference to single-stream and dual-stream data transmissions.
- the SINR estimation embodiments described herein are broadly applicable to the transmission of any number of data streams in a MlMO system and are readily extendible as a function of the number of transmit and receive antennas employed by the MlMO system.
- the transmitter 110 includes a demultiplexer 104 for controlling the How of data to coding and spreading blocks 106, 108 associated with each antenna 102, 103 as a function of the data transmission mode.
- the coding and spreading blocks 106. 108 perform data encoding and modulation.
- a single data stream is encoded and modulated by the first coding and spreading block 106, preceded via a first set of multipliers 112 and transmitted through both antennas 102, 103.
- a first data stream is encoded and modulated by the first coding and spreading block 106 and a second data stream is similarly encoded and modulated by the second coding and spreading block 108.
- Preceding is applied to the first data stream via the first set of multipliers U 2 and to the second data stream via a second set of multipliers 1 i4.
- a first precoded part of the fust data stream is combined with a fust precoded part of the second data stream via a first signal combiner ! 16.
- a second precoded part of the first data stream is similarly combined with a second precoded part of the second data stream via a second signal combiner 1 ! 8
- Both data streams are then transmitted on the same orthogonal spreading code(s) and thus are susceptible to code reuse interference.
- both the single-stream and dual-stream modes preceding is applied to each data stream prior to transmission to improve system performance.
- the same data stream is transmitted through both antennas 102, 103 using one set of stream-specific antenna weights, e.g.. ⁇ b! I , b2U.
- both data streams are transmitted through both antennas 102, 103 using two sets of stream-specific antenna weights, e.g., ⁇ b U , b2 i ⁇ for the first stream and ⁇ b! 2, i>22> for the second stream.
- the stream-specific antenna weights which can be determined by the receiver 120 and fa ⁇ back to the transmitter 1 10, are selected so that the beams emanating from the transmit antennas 102, 103 are generally orthogonal. Any type of suitable linear or nonlinear precoding can be employed at the transmitter 1 10.
- the transmitted data is then carried over the channel to the receiver 120.
- the receiver 120 includes front end circuitry 124 for filtering and down- converting received signals into a baseband signal.
- the receiver 120 also has a baseband processor 126.
- the baseband processor 126 includes a received signal processing module 128 for processing the baseband signal and an SLN 7 R estimation module 130 for generating SlNR estimates based on pilot channel information.
- Described next in more detail is an SlNR estimation embodiment implemented by the baseband processor 126 for both single and dual-stream data transmission modes that implicitly accounts for the effects of both code-reuse and precoding which are present in MIMO schemes such as D-TxAA,
- the SINR estimation embodiment is described for single-stream and dual-stream data transmission schemes for ease of explanation only. However, (he SINR estimation technique is broad! ⁇ applicable to the transmission of any number of data streams in a MfMO system.
- the embodiments described herein assume thai the pilot scheme is configured m the so-called diversity pilot mode which is specified for the case of two transmit antennas, which is the case when either transmit diversity or MlMO is configured. Tn this mode, the piiol signal transmitted from each of the two transmit antennas 102, 103 utiii/es the same channelization code.
- the pilot symbol patterns are orthogonal over two symbol periods and are defined below.
- the pilot scheme may be configured using the primary common pilot (P- CPICH) on the first antenna and the secondary common pilot (S-CPICH) on the second transmit antenna, in tills case the channelization codes used on the P- and S-CPlCHs are orthogonal.
- P- CPICH primary common pilot
- S-CPICH secondary common pilot
- the pilot symbol sequence t ⁇ , (/) transmitted on the second transmit antenna 103 is given by:
- per-stream SlNRs which account for precoding and code-reuse interference can be estimated by the baseband processor 126 of the receiver 120 using the following approach.
- FIG. 2 illustrates an embodiment of the received signal processing module
- the received signal processing module 128 includes a combining weight computer 202 for generating two sets of combining weights appropriate for demodulation of the data channel (e.g. HS-DSCH).
- the first set of combining weights denoted w ⁇ nafe applies for the case of single-stream data transmission.
- the second set of combining weights denoted ⁇ w rf ., iU and w ⁇ Uw( , ⁇ applies for the case of dual-stream data transmission.
- w ⁇ (l8)i applies to the first data stream and w it(w! , applies to the second data stream.
- the combining weights for the single and dual-stream modes are different in that for the dual-stream mode the weights are designed to suppress interference due to code-reuse, whereas for the single-stream mode no code- reuse interference exists.
- Any suitable technique can be employed by the combining weight computer 202 for determining the weights, e.g. such as the combining weight computation techniques disclosed in U.S. Patent Application Serial No. 12/036323, filed on February- 25. 2008, U.S. Patent Application Serial No. ! 2/036337. filed on February 25, 2008, and U.S. Patent Application Serial No. 12/198973, filed on August 27, 2008. the contents each of which are incorporated herein by reference in their entirety.
- a pilot sample despreader component 204 of the received signal processing module 128 despreads the common pilot (e.g. CPlCH) using the s ⁇ me finger placements as used to formulate the combining weights.
- the sequence of despread vectors generated by the pilot sample despreader 204 for a single slot is given by:
- / indexes the K CPICH symbols transmitted during the slot e.g. A ' - 10
- h, and h are the net channel responses corresponding to the first and second transmit antennas, respectively
- ami x(/ ' ⁇ is a (zero mean) impairment vector consisting of interference and noise, referred to hereafter as simply noise.
- the noise covariance is denoted herein as R x .
- a channel sample generator component 206 of the received signal processing module 128 computes two different IengthA' / 2 sequences based on the sequence of despread vectors and the known pilots.
- the length K , 2 sequences are denoted as
- channel samples corresponding to the first a «d second antennas, respectively.
- the respective channel samples are computed as:
- mean computer components 208. 210 of the received signal processing module 128 generate unbiased estimates of the respective net channel responses as:
- Covariance computer components 212, 214 and a SHitimer 216 of the received signal processing mod ⁇ le 128 generate respective noise covariance estimates also based on the channel samples as:
- An effective net channel response generator component 218 of the received signal processing module 128 accounts for the data stream preceding, e.g. as used m D-
- TxAA by estimating the effective net channel response "seen" by the different data streams, the data streams also being precoded.
- the preceding vector applied at the transmitter 1 10 to the first stream is denoted as and the preceding vector applied to the second stream is denoted .
- channel response generator 218 calculates the respective effective net channel responses based on the corresponding precoding vectors. Unbiased estimates of the respective net channel responses derived from despread pilot samples are given by:
- r f> is the ratio of the pilot power allocated to the first transmit antenna 102 with respect to that allocated to the second transmit antenna 103.
- the pilot power is often balanced across transmit antennas in which case r r - 1 .
- the VE recommends the preceding weights to be applied at the Node B. This recommendation is fed back along with the SlNRs, e.g. on the HS-DPCCH uplink control channel.
- the effective net channel responses calculated in accordance with equation (18) account for the preceding applied to data streams in either single-stream or multi- stream transmission modes. In single-stream mode, only the first effective net response is relevant,
- interference arising from code reuse can also be addressed for multi-stream data transmissions.
- the code reuse interference is due to another data stream, e.g. the second stream in dual-stream mode.
- This introduces an additive term to the noise covariance matrix that is a function of the outer product of the effective net response for the second stream and the power per-code (hat is allocated to second stream, the power per-code scaling for the second stream being denoted a fl ,
- a code power estimator 220 calculates the power per-code scaling factor associated with each data stream. Any suitable technique can be employed by the code power estimator 220 or the SlNR estimation module 130 for estimating the power per-code scaling terms, e.g.
- the SINR estimation module 130 generates S ⁇ NR estimates based on the parametric and non-parametric information provided by the received signal processing module 128.
- Figure 3 illustrates an embodiment of the SINR estimation module 130 included in or associated with the receiver baseband processor 126 as adapted for single-stream data transmission mode.
- a signal power computer component 302 of the S ⁇ NR estimation module 130 calculates an unbiased estimate of the per-slot signal power as: K /2
- a noise power computer component 304 of the SlNR estimation module 130 calculates an unbiased estimate of the noise power as:
- Equation (8 K the subtractive term in equation (19) represents the removal of bias in the signal power estimate that occurs due to noise in the estimate of the effective net channel response.
- Signal smoothing components 306, 308 of the SINR estimation module 130 can smooth the signal and noise power estimates, respectively, over a number of slots e.g. by time-averaging.
- a signal divider 310 yields a single-stream S ⁇ NR estimate as:
- the single-stream SJNR estimate is obtained in a non-parametric manner by measurement based on despread pilot samples such as despread CPICH samples. Unlike conventional CPICH-based SlNR estimation techniques, preceding is accounted for according to the single-stream SINR estimation embodiments described herein.
- the SINR estimation module 130 reduces the precoding-induced mismatch between the data channel (e.g. HS-DSCH) which employs precodi ⁇ g and the pilot channel (e.g. CPlCH) which does not by accounting for the data stream preceding employed prior to single-stream data transmission.
- Figure 4 illustrates an embodiment of the SINR estimation module 130 as adapted for multi-stream data transmission.
- the SINR estimation for multi-stream transmission is a combination of non-parametric and parametric approaches.
- the parametric approach explicitly accounts for the code-reuse interference that occurs in multi-stream data transmission mode. This interference occurs only on the data channel (e.g. HS-DSCH).
- the SINR estimation module 130 modifies (he noise power estimate to include a term that synthesizes the effect code reuse interference has on the data streams in a parametric fashion.
- a first code reuse interference synthesizer component 402 of (he SINR estimation module 130 calculates the parametric term used to synthesize the code-reuse interference from the perspective of demodulating the first stream as given by:
- a second code reuse interference synthesizer component 404 similarly calculates the parametric term used io synthesize the code-reuse interference from the perspective of demodulating the second stream as given by:
- Equation 22) and (23) represent the power per-code scaling allocated to the first and second data streams, respectively, as previously described herein.
- First and second signal power computer components 406, 408 of the S ⁇ NR estimation module ⁇ M) generate unbiased estimates of the per-siot signal power for the first and second streams, respectively, as given by:
- First and second noise power computer components 410, 412 of the SINR estimation module 130 generate unbiased estimate of the respective noise powers as given by:
- the effect of code-reuse interference is synthesized by adding the respective terms R rR 1 and R c ⁇ , to the measured noise covariance R s to explicitly account for code-reuse interference.
- the multi-stream SINR estimation embodiment is a combination of non- parametric and parametric approaches.
- Respective smoothing components 414, 416, 4 IS. 420 of the SlNR estimation module can smooth e.g. by time-averaging the corresponding signal and noise povvers over a number of slots.
- Signal dividers 422, 424 yield dual-stream SfNR estimates for the fust and second data streams, respectively, as given by:
- the baseband processor 126 of the receiver 120 obtains single-stream combining weights w. ⁇ and dual-stream combining weights w (U ⁇ aH and W ⁇ 1 as well as precoding vectors b, and b z on which the S ⁇ NR estimates are to be based.
- the pilot channel e.g. CPlCH
- the pilot channel is despread using the same finger placements as used to generate the combining weights to produce the length- A' sequence of despread vectors y(/) given by equation (B).
- (/) and y : (>) are computed based on the sequence of despread vectors y(/) and the known pilot sequences c, , (/) and c ⁇ , (/) for the two transmit antennas.
- the net channel response estimates h s and h ? are computed via the mean of the channel samples (equation 16).
- the noise covariance estimate R x is calculated via the covariance of the channel samples (equation H).
- the effective net-response estimates h ⁇ , and h f(a are calculated based on the corresponding estimated net responses h, and h, and preceding vectors b t and IM equation 18).
- a single-stream SiNR estimate is produced by calculating per-sl ⁇ t signal and notse power estimates based on the single-stream combining weights w >( ⁇ Sk . , the effective net response h c(n and the estimated noise covariance R x (equations 19 and 20).
- the per-skn signal and noise power estimates can be optionally smoothed.
- the single-stream SlNR estimate is calculated using the optionally smoothed signal and noise power estimates (equation 21 ).
- a dual-stream SlNR estimate is produced by obtaining estimates of power per- code scaling factors a [ ⁇ , and ⁇ T(C > associated with the first and second data streams, respectively.
- the code-reuse interference terms R CJU and R CJU are synthesized based on the corresponding effective nei response estimates h m and h ⁇ , , the estimated per- code powers ⁇ ⁇ , and a ⁇ ⁇ and the estimated noise co variance R x (equations 22 and
- Per-siot signal and noise power estimates are calculated for the first and second data streams, respectively, based OH the dual-stream combining weights w ⁇ (ld l and v M; , effective net response estimates h ⁇ , and h ⁇ , . estimated code-reuse interference terms R n ⁇ , and R n ⁇ and the estimated noise covariance R v (equations
- the per-slot signal and noise power estimates can be optionally smoothed.
- the dual-stream SlNR estimates for each data stream are calculated using the optionally smoothed signal and noise power estimates (equation 26).
- the MlMO SIMR estimation embodiments disclosed herein have complexity on the same order of magnitude as conventional CPICR-based approaches for non-MIMO systems while yielding more accurate data stream SINR estimates.
- the SINR estimation embodiments disclosed herein retain the benefits of non-parametric CPICH-based approaches which yield accurate SINR estimates that inherently account for un-modeied effects such as intercell interference, RF impairments, etc.
- the SINR estimation embodiments disclosed herein also eliminate mismatch between the data channel (e.g. HS-DSCH), for which the SINR estimates are intended, and the pilot channel (e.g. CPICH). which is used as the basis of the SINR estimates. This yields accurate SINR estimates which compensate for the mismatch that arises due to preceding and/or code-reuse interference.
- the SlNR estimation embodiments disclosed herein can be readily applied to MIMO systems that do not employ preceding by setting the preceding vectors to b x ⁇ [l 0] and b- ⁇ [0 l] , respectively.
- many of the computation steps simplify since the effective net channel response associated with each data stream becomes equal to the nei channel response correspo ⁇ ding to each physical transmit antenna, i.e. h o ⁇ ! ⁇ h 1 , h o ⁇ , - h, , etc.
- SINR estimation embodiments disclosed herein can aiso be readily expanded beyond dual-stream data transmission schemes by calculating the additional appropriate terms relating to each additional data stream.
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CA2768563A CA2768563A1 (en) | 2009-07-28 | 2010-07-27 | Pilot-based sinr estimation for mimo systems |
EP10742903.7A EP2460292B1 (en) | 2009-07-28 | 2010-07-27 | Pilot-based sinr estimation for mimo systems |
KR1020127005283A KR101721714B1 (en) | 2009-07-28 | 2010-07-27 | Pilot-based sinr estimation for mimo systems |
JP2012522323A JP5676607B2 (en) | 2009-07-28 | 2010-07-27 | Pilot-based SINR estimation for MIMO systems |
CN201080033834.2A CN102484543B (en) | 2009-07-28 | 2010-07-27 | Pilot-based Sinr Estimation For Mimo Systems |
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CA2768563A1 (en) | 2011-02-03 |
US20110026566A1 (en) | 2011-02-03 |
WO2011013072A3 (en) | 2011-06-16 |
CN102484543B (en) | 2014-12-17 |
US8233517B2 (en) | 2012-07-31 |
JP2013500669A (en) | 2013-01-07 |
JP5676607B2 (en) | 2015-02-25 |
CN102484543A (en) | 2012-05-30 |
EP2460292A2 (en) | 2012-06-06 |
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EP2460292B1 (en) | 2017-12-13 |
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