Doc.: IEEE 802.11-05/1635r1 Submission January 2005 John S. Sadowsky, IntelSlide 1 WWiSE Preambles and MIMO Beamforming? Notice: This document has been.

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doc.: IEEE /1635r1 Submission January 2005 John S. Sadowsky, IntelSlide 1 WWiSE Preambles and MIMO Beamforming? Notice: This document has been prepared to assist IEEE It is offered as a basis for discussion and is not binding on the contributing individual(s) or organization(s). The material in this document is subject to change in form and content after further study. The contributor(s) reserve(s) the right to add, amend or withdraw material contained herein. Release: The contributor grants a free, irrevocable license to the IEEE to incorporate material contained in this contribution, and any modifications thereof, in the creation of an IEEE Standards publication; to copyright in the IEEE’s name any IEEE Standards publication even though it may include portions of this contribution; and at the IEEE’s sole discretion to permit others to reproduce in whole or in part the resulting IEEE Standards publication. The contributor also acknowledges and accepts that this contribution may be made public by IEEE Patent Policy and Procedures: The contributor is familiar with the IEEE 802 Patent Policy and Procedures, including the statement "IEEE standards may include the known use of patent(s), including patent applications, provided the IEEE receives assurance from the patent holder or applicant with respect to patents essential for compliance with both mandatory and optional portions of the standard." Early disclosure to the Working Group of patent information that might be relevant to the standard is essential to reduce the possibility for delays in the development process and increase the likelihood that the draft publication will be approved for publication. Please notify the Chair as early as possible, in written or electronic form, if patented technology (or technology under patent application) might be incorporated into a draft standard being developed within the IEEE Working Group. If you have questions, contact the IEEE Patent Committee Administrator at. Date: Authors:

doc.: IEEE /1635r1 Submission January 2005 John S. Sadowsky, IntelSlide 2 Abstract Interest in beamforming for WLAN products is growing. This is evidenced by the recent launch of several products that provide enhanced rate at range performance via beamforming - using a/b/g waveforms! It is expected that this trend will continue as MIMO is introduced. The WWiSE proposal for n High Throughput WLAN has a preamble structure that can not support of advanced beamforming techniques. This presentation itemizes the problems associated MIMO BF (e.g., SVD BF) with the WWiSE preambles.

doc.: IEEE /1635r1 Submission January 2005 John S. Sadowsky, IntelSlide 3 Summary Problem 1 –WWiSE structure does not allow omni-directional transmission of SIG-N –Result: Hidden node problems Problem 2 –WWiSE preambles are designed for “per antenna training” –Low overhead BF (beamforming) requires “per spatial stream training” Eliminates explicit feedback of BF steering matrices to receiver –Conjecture: WWiSE could apply ½ symbol cyclic shift training to spatial streams Problem 2b –WWiSE channel estimation requires smoothing algorithms –Channel smoothing cannot be applied with MIMO BF (e.g., SVD) Problem 3 –Explicit feedback CSI (provided by WWiSE MAC management frame) –Inserts MAC latency into time critical processing

doc.: IEEE /1635r1 Submission January 2005 John S. Sadowsky, IntelSlide 4 Problem 1: SIG-N is not omni-directional WWiSE ½ symbol cyclic shift training applied to 2 spatial streams to support MIMO BF SIG-N must then be transmitted in BF NOT omni-directional This introduces hidden node problems Also, how are short symbols transmitted – do 400 ns cs, 1600 ns cs and spatially multiplexed BF data all yield the same Rx power?

doc.: IEEE /1635r1 Submission January 2005 John S. Sadowsky, IntelSlide 5 Problem 1: Omni-directional protection MAC Protection? –MAC protection mechanisms assume omni-directional transmission of control packets –More on this later PHY Protection –Omni-directional part provides PHY protection –However, the shift to BF part  large increase in Rx power –Can drive receiver into saturation –WWiSE MM PPDU does not solve this problem

doc.: IEEE /1635r1 Submission January 2005 John S. Sadowsky, IntelSlide 6 PHY Protection via Omni-Preamble WWiSE MM PPDU does not work due to Rx power transient TGn Sync HT-STF provides a robust solution to the hidden node problem for MIMO BF transmissions

doc.: IEEE /1635r1 Submission January 2005 John S. Sadowsky, IntelSlide 7 Problem 2: Per Antenna Training Per Antenna Training –Requires high overhead of explicit communication of BF matrices –Complex Rx signal processing Per Spatial Stream Training –Receiver directly estimates combined channel –Low-overhead: no explicit transmission of BF matrices –Transparency: no prior knowledge of packet BF structure at the receiver Rx acquisition and equalizer processing is identical for both BF and non-BF packets Conjecture: WWiSE intends to do per SS training with ½ symbol cyclic shift

doc.: IEEE /1635r1 Submission January 2005 John S. Sadowsky, IntelSlide 8 Problem 2b: WWiSE Requires Ch. Est. Smoothing recovers Smoothing Window recovers 1600 ns cs produces a  1 factor on H 2 (f k ), -1 for odd k

doc.: IEEE /1635r1 Submission January 2005 John S. Sadowsky, IntelSlide 9 Why is channel est. smoothing bad for MIMO BF? Smoothing requires high adj. tone coherence However, we must estimate the combined channel –BF matrix has poor adjacent tone coherence Why? –Eigen-channel rank reversals For each tone, eigen-channels are ranked by singular values Eigen-channels can reverse ranks on adjacent tones – resulting in an adjacent tone swap of corresponding columns of BF matrix Result – very low adjacent tone coherence –Singular value multiplicity (nearly equal singular values) Common eigen space - blurs distinction between eigen-channels Numerical precision issues

doc.: IEEE /1635r1 Submission January 2005 John S. Sadowsky, IntelSlide 10 SVD Background diagonal matrix of singular values matrix of right singular vectors = BF matrix U and V are orthonormal matrices; columns are orthonormal Columns of U and V are left and right singular vectors V is the optimal BF matrix Uniqueness:  is unique U and V are unique up to per column phase factor

doc.: IEEE /1635r1 Submission January 2005 John S. Sadowsky, IntelSlide 11 BF Adjacent Tone Coherence = BF matrix for subcarrier = i th column of Definition: Adjacent Tone Coherence Properties: is a complex number

doc.: IEEE /1635r1 Submission January 2005 John S. Sadowsky, IntelSlide 12 What about the arbitrary singular vectors phase? Columns of V are unique up to an arbitrary phase. Select these phases to maximize phase coherence between adjacent frequencies. Problems? YES! This is an additional non-linear processing step in a time-critical operation. Result: is an optimistic measure of adjacent tone coherence.

doc.: IEEE /1635r1 Submission January 2005 John S. Sadowsky, IntelSlide 13 Example: 2 x 2, Model B Eigen-channel rank reversal

doc.: IEEE /1635r1 Submission January 2005 John S. Sadowsky, IntelSlide 14 Example: 2 x 2, Model D Nearly equal singular values  coherence breakdown

doc.: IEEE /1635r1 Submission January 2005 John S. Sadowsky, IntelSlide 15 Example: 2 x 2, Model D Eigen-channel rank reversal

doc.: IEEE /1635r1 Submission January 2005 John S. Sadowsky, IntelSlide 16 Example: 4 x 2, Model D Loss of coherence in 2 nd eigen channel only

doc.: IEEE /1635r1 Submission January 2005 John S. Sadowsky, IntelSlide 17 Example: 4 x 2, Model D Eigen-channel rank reversal Loss of coherence in 2 nd eigen channel only Joint loss of coherence due to rank reversal

doc.: IEEE /1635r1 Submission January 2005 John S. Sadowsky, IntelSlide 18 Example: 4 x 4, Model D

doc.: IEEE /1635r1 Submission January 2005 John S. Sadowsky, IntelSlide 19 Example: 4 x 4, Model D

doc.: IEEE /1635r1 Submission January 2005 John S. Sadowsky, IntelSlide 20 Example: 4x2 Model B

doc.: IEEE /1635r1 Submission January 2005 John S. Sadowsky, IntelSlide 21 Response to 1645 r1 Simulation 1645 r1 provides simulations of WWiSE ch. est. –Calculations of MSE with SVD beamforming –Shows only a small degradation in MSE –Simulated only 4x2 Model B example High spatial diversity & low frequency diversity – a best case scenario for MSE calculation 1645 r1 does not specify how BF phase is selected –Are there addition constraints to SVD calculation? Complexity? The MSE results are misleading –We show that for most tones there is very high adjacent tone coherence This will dominate MSE averaging to produce an optimistic result –However, when coherence breaks down, as in eigen-channel rank reversal, we loose all tones within the smoothing window –How does this impact PER?

doc.: IEEE /1635r1 Submission January 2005 John S. Sadowsky, IntelSlide 22 Problem 3: Explicit Feedback CSI WWiSE provides explicit CSI (channel state info.) –CSI transmitted in a MAC management frame –Huge Overhead! –Huge MAC latency problems! in a time critical processing step Requires 2x variable queuing and channel access delays (~1 ms or more) –Limited to 4 BF antennas TGnSync is a channel reciprocity system –Very low overhead –SVD processing contained entirely in the PHY –Broad Utilization TGn Sync give Basic BF receive to ALL STAs Essentially no cost/complexity burden to BF Rx only client STA WWiSE cannot do this!

doc.: IEEE /1635r1 Submission January 2005 John S. Sadowsky, IntelSlide 23 Explicit CSI Feedback Overhead Num. Tx Ant Num Rx Ant Ch. BW (MHz)20 40 Bytes per CSI FDBK Overhead 2 ms FDBK 3.6 Mbps 7.2 Mbps 14.3 Mbps 7.2 Mbps 14.3 Mbps 28.9 Mbps Overhead 4 ms FDBK 1.8 Mbps 3.6 Mbps 7.2 Mbps 3.6 Mbps 7.2 Mbps 14.5 Mbps TGn Sync has NO CSI FEEDBACK OVERHEAD

doc.: IEEE /1635r1 Submission January 2005 John S. Sadowsky, IntelSlide 24 SVD Tx & Immediate Training

doc.: IEEE /1635r1 Submission January 2005 John S. Sadowsky, IntelSlide 25 Explicit Feedback SVD Protocol ?? Is this what WWiSE is proposing? If not – then what? Not included: MAC protection protocol

doc.: IEEE /1635r1 Submission January 2005 John S. Sadowsky, IntelSlide 26 Broad Utilization  CSI Buffer CSI Buffer for a 2 Rx ant. STA: 1792 bytes (20 MHz), 3584 bytes (40 MHz) This CSI buffer is required for all STAs to receive BF from a 4 Tx device. Does WWiSE propose to add this requirement?

doc.: IEEE /1635r1 Submission January 2005 John S. Sadowsky, IntelSlide 27 Conclusions The WWiSE proposal presents several barriers for MIMO BF –Non-omni-directional SIG-N –Required smoothing in channel estimation –High overhead explicit CSI feedback solution –Unspecified packet exchange protocol, large MAC latencies –MIMO BF is an after thought in the WWiSE proposal MIMO BF is important for future extensibility of the n standard –Recently launched BF products have demonstrated enhanced rate-at- range performance in standards based (a/b/g) solutions –BF allows concentration of cost and power consumption to the AP for downlink intensive applications (e.g., video) The 11n should provide seamless support MIMO Tx beamforming

doc.: IEEE /1635r1 Submission January 2005 John S. Sadowsky, IntelSlide 28 References IEEE /0886r6, “WWiSE Proposal: High throughput extension to the Standard” IEEE /1645r1, “Preambles, Beamforming and the WWiSE Proposal”