System Information update procedure

Sep 2019 doc.: IEEE 802.11-19/1585r0 Orthogonal Sequence based Reference Signal for LTF Reduction Date: 2019-09-16 Authors: Name Affiliation Address Phone Email Junghoon Suh [email protected] Osama Aboul-Magd [email protected] Edward Au Submission [email protected]

Huawei Slide 1 Junghoon Suh, et. al, Huawei Sep 2019 doc.: IEEE 802.11-19/1585r0 Background Number of Spatial Streams will be extended to 16 streams in the EHT 16 LTFs necessary to support the 16 stream channel estimation according to the current 802.11 LTF schemes Maximum airtime for 16 LTFs can be as big as 256 usec with 4X LTF We need to come up with a new Reference Signal design to accommodate 16 streams We propose an Orthogonal Sequence based Reference Signal (OSRS) for the multi stream channel estimation In MIMO SC-FDMA, multiple access scheme for the UL transmission of cellular network, codedivision multiplexed (CDM) pilots such as cyclic-shifted Zadoff-Chu sequences have been used for channel estimation. We want to apply the similar principle to the WLAN MIMO DL frame. Submission

Slide 2 Junghoon Suh, et. al, Huawei Sep 2019 doc.: IEEE 802.11-19/1585r0 OSRS An Orthogonal Sequence is assigned to each stream (: i represents each stream) Received signal (: +), for N streams, the ith stream channel parameter , and AWGN n The is obtained with the following inner product, = Application to 802.11 For MU-PPDU, the number of tones where channel estimation is needed is 234 tones (26 tones (2 pilots included) * 9RU), excluding the DC and Nulls (22 tones) per 20 MHz Length of orthogonal sequences had better be 2s power, and 4, 8 or 16 is the good sequence length 240 is divisible by 4, 8 or 16, and we can estimate the channel up to 240 using 4, 8 or 16 tone long Sequences

E.g.) Each OFDM symbol may have 15 Segment based Orthogonal Sequences with length 16 Hadamard (16) can be used for the orthogonal Sequence There will be one estimated channel parameter per each 16 sub-carrier segment Hence, there will be 15 channel parameters available per 20 MHz OFDM Channel smoothing such as Linear Interpolation is required to obtain channel parameter per every subcarrier Submission Slide 3 Junghoon Suh, et. al, Huawei Sep 2019 doc.: IEEE 802.11-19/1585r0 20 MHz Tone Plan for the OSRS Symbol: This tone plan can be applied to both MU and SU PPDU. Guard Tones Tone Index DC .. ..

123 ~ 127 -2 -1 0 1 2 -128 ~ -123 Guard Tones Hence, the tone index from -122 to -3 and from 3 to 122 will be used for OSRS. For example, 16 long sequence can be indexed as follows. Segment 0: -122 ~ -107 Segment 1: -106 ~ -91 Segment 2: -90 ~ -75 Segment 4: -58 ~ -43 Segment 5: -42 ~ -27 Segment 6: -26 ~ -11 Segment 8: 11 ~ 26 Segment 9: 27 ~ 42 Segment 10: 43 ~ 58 Segment 12: 75 ~ 90

Segment 13: 91 ~ 106 Segment 14: 107 ~ 122 Submission Slide 4 Segment 3: -74 ~ -59 Segment 7: -10 ~ -3 & 3 ~ 10 Segment 11: 59 ~ 74 Junghoon Suh, et. al, Huawei Sep 2019 doc.: IEEE 802.11-19/1585r0 Simulation verification for OL SU-MIMO 4X4 Open-loop SU-MIMO 4 SS, 4 TX, 4 RX, QPSK and MMSE detection with BCC for FEC Packet size, 800 byte Scenario for Channel Estimation Reference Signal 11ac LTF based (64 point OFDM symbol) 11ac based PPDU for data 11ax LTF based (256 point OFDM symbol; 4X LTF is used) 11ax based SU-PPDU for data OSRS with each segment length, 4 tones w/o interpolation

There are 60 segments in an OFDM symbol Estimated Channel parameter per each segment are the same, that is, the same over every 4 tone OSRS with each segment length, 4 tones with interpolation There are 60 segments in an OFDM symbol Linear Interpolation is performed for those 60 estimated channel parameters to come up with 240 channel parameters for each 240 tones Submission Slide 5 Junghoon Suh, et. al, Huawei Sep 2019 doc.: IEEE 802.11-19/1585r0 Linear Interpolation for Length 4 OSRS With No Interpolation hi hi hi hi hi+1 hi+1 hi+1 hi+1 hi+2 hi+2 hi+2 hi+2 . .

tn tn+1 tn+2 tn+3 hi tn tn+8 tn+9 tn+10 tn+11 Tone index tn+1 tn+2 Chan. parameters obtained by Interpolation between hi and hi+1 tn+3 tn+4 tn+5 hi+1 tn+6 Chan. parameters obtained by Interpolation between hi+1 and hi+2 hi+2 tn+7

tn+8 tn+9 tn+10 . tn+11 Tone index We need to place the channel parameter obtained by the inner product (or correlation) with the corresponding orthogonal sequence onto a middle tone of the segment There are two middle tones in a segment because the segment length (orthogonal sequence length) is 2s power tn+4 tn+5 tn+6 tn+7 With a Mid-tone Interpolation . Channel Parameters, `i represents segment index

It is ok to place the channel parameter obtained by the inner product onto either of these middle two tones before we run the interpolation, but needs to be consistent in each segment The same principle can be applied to any length of the sequence like length 8 or 16. Submission Slide 6 Junghoon Suh, et. al, Huawei Sep 2019 doc.: IEEE 802.11-19/1585r0 Effect of Interpolation for OSRS: 4X4 OL SU-MIMO with Length 4 OSRS Submission Slide 7 Junghoon Suh, et. al, Huawei Sep 2019 doc.: IEEE 802.11-19/1585r0 Effect of Interpolation for OSRS: 4X4 OL SU-MIMO with Length 8 OSRS Submission

Slide 8 Junghoon Suh, et. al, Huawei Sep 2019 doc.: IEEE 802.11-19/1585r0 Effect of Interpolation for OSRS: 4X4 OL SU-MIMO with Length 16 OSRS Mid Tone Interpolation is necessary when the Length of the OSRS is big. Submission Slide 9 Junghoon Suh, et. al, Huawei Sep 2019 doc.: IEEE 802.11-19/1585r0 11ax based SU-PPDU used The longer the sequence, the better the performance, when there is no Beam-forming The length of the sequence can be regarded as a smoothing window size the larger the better Submission

Slide 10 Junghoon Suh, et. al, Huawei Sep 2019 doc.: IEEE 802.11-19/1585r0 For 256 tone LTF based RS with Smoothing, a moving average based smoothing (Window size 16 tone) is applied on top of a Least Square method of channel estimation The performance of using the OSRS is showing no degradation compared to the 802.11 LTF based RS design The gain is in the overhead Reduction: There are 4 LTFs but there is only one symbol for OSRS Submission Slide 11 Junghoon Suh, et. al, Huawei Sep 2019 doc.: IEEE 802.11-19/1585r0 Simulations for the Beam-formed frame 16 TX MU-MIMO with 4, 6, and 8 STA MU-MIMO scheduling (2 streams each STA; 8, 12 and 16 total streams) 16 LTF symbol based Channel Estimation for 12 and 16 total streams (6 and 8 STA MU-MIMO case)

8 LTF symbol based Channel Estimation for 8 total streams (4 STA MU-MIMO case) 1 OSRS symbol for the Channel Estimation of 8 total streams (4 STA MU-MIMO case) Perfect sounding (No CSI Quantization error, No CSI feedback error, but real channel estimation using the 4X LTF based NDP) User Selection algorithm [1] to select from 8 total STAs for MU-MIMO scheduling Zero-forcing BF in the TX, and MMSE detection or Interference Whitening based MLD in each STA BCC for FEC MCS 1, 3, 5, and 7 Packet size for PER: 400 bytes for MCS 1, 3, 5, and 500 bytes for MCS 7 P-matrix for 16 Stream Channel Estimation in case of 16 LTF symbol based case = Submission Slide 12 Junghoon Suh, et. al, Huawei Sep 2019 doc.: IEEE 802.11-19/1585r0 Phase Continuity When a beam-forming (BF) is applied to a data frame, the phase becomes discontinuous between data tones which makes the channel estimation through an interpolation very difficult We need to apply a Phase Continuity process during the Beam-forming in order to

avoid the phase discontinuity problem The channel estimation during the sounding to measure the CSI information should be done through the 802.11 LTF based Reference Signal where the CSI information is obtained at every Ng and at every tone at last Let us denote P0 , P1 , P2 , to be a column vector of a pre-coding matrix per tone 0, 1, 2, etc., based on the CSI information obtained above then, the continuous phase based pre-coding column vector of a precoding matrix shall be , , , Submission =-phase =-phase, where here is the updated one with phase continuity, that is, Repeat the procedure above Slide 13 Junghoon Suh, et. al, Huawei Sep 2019 doc.: IEEE 802.11-19/1585r0 User Selection for MU-MIMO [1] Since we have 16 Spatial Streams available, it is observed with the performance drop when all of the 16 Spatial Streams are fully used for the MU-MIMO scheduling and the Detection is MMSE

We can check the correlation of two beamforming matrices with a covariance matrix check of any two pair Good User Selection is necessary to improve the performance For the case of two beamforming matrices and , Covariance matrix Frobenious norm square becomes close to zero in case of orthogonal and , and becomes a big number for the case of correlated and is obtained with each element of the matrix being squared and summed over all elements The following are the User Selection algorithm used for the simulation in case of ZFBF 1. Check the magnitude of each STAs channel gains and Select the best STA 2. Check the orthogonality (Using the Frobenious norm square) of other STAs with the best STA selected in Step 1 3. Select the STA with the smallest Forbenious norm square in the Step 2 4. Check the orthogonality (Using the Frobenious norm square) of other STAs with the selected STA in Step 3 5. Select the STA with the smallest Forbenious norm square in the Step 4 Repeat the Step 4 and 5 for the rest of the User Selection Submission Slide 14 Junghoon Suh, et. al, Huawei Sep 2019

doc.: IEEE 802.11-19/1585r0 MCS 7 MCS 5 MCS 3 MCS 1 1 OSRS symbol for the Channel Estimation of 8 total streams (Red curve) vs. 8 LTF (4x LTF) symbol based channel estimation of 8 total streams (Blue curve) MMSE Detection Submission Slide 15 Junghoon Suh, et. al, Huawei Sep 2019 doc.: IEEE 802.11-19/1585r0 Summary The larger the OSRS size is, the better performance is achieved, in case of Open Loop SU-MIMO, however, when BF is applied like MU-MIMO, we observed the shorter OSRS size performs better For 4X4 OL SU-MIMO, the Length 16 OSRS can be the most optimum choice for the sequence size For BF case such as MU-MIMO, the length 4 OSRS is better than the length 8 OSRS, and the length 8 OSRS is better than the length 16 OSRS

OSRS is a good choice when the Inter-stream Interferences are very small such as 8 Stream MU-MIMO out of 16 available TX Very useful for the MU-MIMO when the degree of freedom in the available TX is large (e.g. 7 or 8 total stream MU-MIMO from 16 available TX) Submission Slide 16 Junghoon Suh, et. al, Huawei Sep 2019 doc.: IEEE 802.11-19/1585r0 Reference [1] T. Yoo and A. Goldsmith, On the optimality of multiantenna broadcast scheduling using zero-forcing beamforming, IEEE Journal on Selected Areas in Communications, Vol. 24, March 2006 Submission Slide 17 Junghoon Suh, et. al, Huawei

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