Submission doc.: IEEE 802.11-15/0627r0 May 2015 Hakan Persson, EricssonSlide 1 Beam Selection for Hybrid MIMO Precoding Date: 2015-05-10 Authors:

Slides:



Advertisements
Similar presentations
Doc.: IEEE / 0052r0 Submission January 2011 Slide 1 Max Nss for SU BF Date: Authors: Sameer Vermani, Qualcomm.
Advertisements

Doc.: IEEE /1234r0 Submission November 2009 Sameer Vermani, QualcommSlide 1 Interference Cancellation for Downlink MU-MIMO Date: Authors:
A Framework for MIMO Operation over mmWave Links
mmWave MIMO Link Budget Estimation for Indoor Environment
Doc.: IEEE /1090/r2 Submission September 2013 Submission Zhanji Wu, et. Al. Non-linear pre-coding MIMO scheme for next generation WLAN Date:
Submission doc.: IEEE /1202r0 September 2014 Amichai Sanderovich, QualcommSlide 1 NG60 channel model Date: Authors:
Doc.: IEEE /0883r1 Submission July 2010 Slide 1 Comment Resolution for “Spatial Reuse” Subgroup Date: Authors: Thomas Derham, Orange.
Submission doc.: IEEE /0069r0 January 2015 Amichai Sanderovich, QualcommSlide 1 MIMO option for NG60 Date: Authors:
Doc.: IEEE /0630r0 Submission May 2015 Intel CorporationSlide 1 Verification of IEEE ad Channel Model for Enterprise Cubical Environment.
Submission doc.: IEEE / 0431 r0 March 2015 Dmitry Cherniavsky, SiBEAM, Inc.Slide 1 Shared MIMO Architecture for ay. Date: Authors:
Meeting Report Gill Aug. 24, Letter -- simulation Sum rate DIA-MMSE 2 DIA-MMSE: Since DIA is suboptimal, it should be operated for Tx first, then.
APPLICATION OF SPACE-TIME CODING TECHNIQUES IN THIRD GENERATION SYSTEMS - A. G. BURR ADAPTIVE SPACE-TIME SIGNAL PROCESSING AND CODING – A. G. BURR.
Submission doc.: IEEE /0808 July 2015 Songnam Hong, EricssonSlide 1 Frequency-independent Digital Precoder for Hybrid MIMO Precoding Date:
Doc.: IEEE /0538r0 Submission May 2009 Eldad Perahia, Intel CorporationSlide 1 Investigation into the n Doppler Model Date: Authors:
Doc.: IEEE /1391r0 Submission Nov Yakun Sun, et. Al.Slide 1 About SINR conversion for PHY Abstraction Date: Authors:
Submission doc.: IEEE 11-12/0844r0 Slide 1 Non-linear Multiuser MIMO for next generation WLAN Date: Authors: Shoichi Kitazawa, ATR.
Doc.: IEEE /0330r2 SubmissionSameer Vermani, QualcommSlide 1 PHY Abstraction Date: Authors: March 2014.
Doc.: IEEE /1153r2 Submission November 2009 Carlos Cordeiro, IntelSlide 1 Motivation and Requirements on 60 GHz Beamforming Date: Authors:
Doc.: IEEE /0493r1 Submission May 2010 Changsoon Choi, IHP microelectronicsSlide 1 Beamforming training for IEEE ad Date: Authors:
Doc.: IEEE /0364r1 SubmissionEldad Perahia, Intel CorporationSlide 1 Date: Authors: Antenna Array Gain from Measured Data for n/ac.
Month Year doc.: IEEE yy/xxxxr0 July 2015
Submission doc.: IEEE /0868r0 July 2015 Hakan Persson, Ericsson ABSlide 1 Impact of Frequency Selective Scheduling Feedback for OFDMA Date:
doc.: IEEE /0496r2 Submission A Flexible Beam Training Protocol for 60GHz mm-Wave Communication (TGad) Date: Authors: NameAffiliationsAddressPhone .
Discussion on MU-MIMO based on Hybrid Beamforming System in ay
Submission doc.: IEEE 11-14/0652r1 Next Generation ad Slide 1 May 2014 Gal/Alecs Wilocity/Qualcomm Authors: NameAffiliationAddressPhone Alecsander.
Doc.: IEEE /1011r0 Submission September 2009 Alexander Maltsev, IntelSlide 1 Verification of Polarization Impact Model by Experimental Data Date:
Efficient Beam Selection for Hybrid Beamforming
Doc.: IEEE /0553r1 Submission May 2009 Alexander Maltsev, Intel Corp.Slide 1 Path Loss Model Development for TGad Channel Models Date:
Submission doc.: IEEE 11-14/0136r2 January 2014 Gal Basson, WilocitySlide 1 Beyond ad – Ultra High Capacity and Throughput WLAN 2 nd presentation.
Doc.: IEEE /1645r2 Submission January 2005 C. Hansen, BroadcomSlide 1 Preambles, Beamforming, and the WWiSE Proposal Notice: This document has.
Doc.: IEEE /0493r0 Submission May 2010 Changsoon Choi, IHP microelectronicsSlide 1 Beamforming training for IEEE ad Date: Authors:
Doc.: IEEE /0112r0 Zhanji Wu, et. Al. January 2013 Submission Joint Coding and Modulation Diversity for the Next Generation WLAN Date:
Doc.: IEEE /1145r0 Submission September 2015 Intel CorporationSlide 1 SU-MIMO Configurations for IEEE ay Date: Authors:
Submission doc.: IEEE /1094 Overview and discussion about the next steps for ay channel modeling Date: Authors: Slide 1.
Submission doc.: IEEE /1347r0 November 2015 Filippo Tosato, ToshibaSlide 1 Strategies to reduce MIMO feedback overhead Date: Authors:
Doc.: IEEE /1229r1 Submission November 2009 Alexander Maltsev, IntelSlide 1 Application of 60 GHz Channel Models for Comparison of TGad Proposals.
Submission doc.: IEEE /1129r1 September 2015 Filippo Tosato, ToshibaSlide 1 Feedback overhead in DL-MU-MIMO Date: Authors:
Doc.: IEEE /0632r0 Submission May 2015 Intel CorporationSlide 1 Experimental Measurements for Short Range LOS SU-MIMO Date: Authors:
Doc.: IEEE /1321r0 Submission Reducing Explicit MIMO Compressed Beamforming Feedback Overhead for ax November 2015 Slide 1 Date:
Submission doc.: IEEE /0021r1 Janurary 2016 Chen SUN, SonySlide 1 Application scenario and text change proposal for coexistence management considering.
Submission doc.: IEEE /0103r0 January 2016 Assaf KasherSlide 1 Beamforming Training proposals Date: Authors:
11ay MIMO BF Training Enhancements
Interdigital Communications Submission doc.: IEEE /1333r1 November 2015 Feasibility of SU-MIMO under Array Alignment Method Date: Slide.
Multi-Beamforming in Polarized Channels for 11ay
Multiple Antennas.
Doc.: IEEE /0935r1 Submission July 2011 Fei Tong, CSRSlide 1 An improved non-compressed beamforming feedback format for 11ac Date:
Antenna Polarization and Beamforming for 11ay
InterDigital, Inc. Submission doc.: IEEE /0911r1 July 2016 Link Level Performance Comparisons of Open Loop, Closed Loop and Antenna Selection.
Doc.: IEEE /1209r0 Submission Hotel lobby SU-MIMO channel modeling: 2x2 golden set generation Date: September 2016 Alexander Maltsev,
Submission doc.: IEEE /0316r0 Low Complexity Beamtraining for Hybrid MIMO Date: Slide 1 March 2016 Authors: Dana Ciochina (SONY), Felix.
Doc.: IEEE /0632r1 Submission May 2016 Intel CorporationSlide 1 Performance Analysis of Robust Transmission Modes for MIMO in 11ay Date:
Beam Tracking for ay Date: Authors: January 2017
Multi-Stage, Multi-Resolution Beamforming Training for ay
Closed Loop SU-MIMO Performance with Quantized Feedback
Open Loop vs Closed Loop SU-MIMO for 11ay
Month Year doc.: IEEE yy/xxxxr0 November 2016
Antenna selection and RF processing for MIMO systems
Further Discussion on Beam Tracking for ay
Hybrid Beamforming Protocol Design Details
Protocols for Hybrid Beamforming in ay
Analog and Baseband Beam Tracking in ay
Analog and Baseband Beam Tracking in ay
Preambles, Beamforming, and the WWiSE Proposal
Further Discussion on Beam Tracking for ay
Channel Dimension Reduction in MU Operation
Multi-Beamforming in Polarized Channels for 11ay
Hybrid Beamforming Protocol Design Details
Protocols for Hybrid Beamforming in ay
Preambles, Beamforming, and the WWiSE Proposal
Generalized Multi-Beamforming for 11ay
Presentation transcript:

Submission doc.: IEEE /0627r0 May 2015 Hakan Persson, EricssonSlide 1 Beam Selection for Hybrid MIMO Precoding Date: Authors:

Submission doc.: IEEE /0627r0 Abstract In this presentation, beam selection for hybrid precoding for 11ay is investigated. Our goal is to see if beams selected are changed according to MIMO modes (e.g., max number of streams). Via simulation results for a living room model, we show that optimal beams can be quite different according to the max number of streams. Therefore, it might not be a good approach to select beams independent of MIMO modes. This observation implies that the optimal number of streams may change (e.g., SINR is changed) before retraining, receiver may feed back multiple sets of optimal beam indices (each suitable for a particular number of streams). Slide 2Hakan Persson, Ericsson May 2015

Submission doc.: IEEE /0627r0 Outline Introduction Hybrid Beamforming Motivation Optimal Beam Selection Simulation Results Summary and Conclusions Slide 3Hakan Persson, Ericsson May 2015

Submission doc.: IEEE /0627r0 Introduction MIMO is considered for 11ay to improve data rates and reliability [1]. Different MIMO modes can be employed depending on the environment/application [2]. Slide 4Hakan Persson, Ericsson May 2015

Submission doc.: IEEE /0627r0 Hybrid Beamforming Slide 5Hakan Persson, Ericsson May )Coarse Beamforming: Optimal sectors or antenna weights are selected. 2)Fine Beamforming: Baseband precoding/combining is done. Conventional approach: After coarse beamforming, one set of beams are selected to form the effective (baseband) channel matrix H to be used for the fine beamforming stage. Once H is known, traditional MIMO techniques apply. BB RF BB RF H Will this give the best performance for all MIMO modes?

Submission doc.: IEEE /0627r0 Motivations Slide 6Hakan Persson, Ericsson May 2015

Submission doc.: IEEE /0627r0 MIMO Mode-specific Beam Selection Slide 7Hakan Persson, Ericsson May 2015 BB RF BB RF H 2x2 MIMO example: Beams are selected from a codebook. i 1 : beam index for the first transmit array i 2 : beam index for the second transmit array j 1 : beam index for the first receive array j 2 : beam index for the second receive array H=H(i 1, i 2, j 1, j 2 ) - Ideally, the set of all possible H’s should be checked to find the optimal beams for a considered MIMO mode.

Submission doc.: IEEE /0627r0 Optimization Problem Slide 8Hakan Persson, Ericsson May 2015

Submission doc.: IEEE /0627r0 Rx Simulation Details Slide 9Hakan Persson, Ericsson May 2015 Receiver fixed at one location. Several transmitter locations tested. Both transmitter and receiver have two antenna arrays  2x2 MIMO. Antenna arrays are 1x8 linear arrays. For each transmitter location, full channel matrix (16x16) is generated by ray tracing. Studio apartment room plan: Tx

Submission doc.: IEEE /0627r0 Simulation Details Slide 10Hakan Persson, Ericsson May 2015 Rx Studio apartment room plan:

Submission doc.: IEEE /0627r0 Simulation Results Slide 11Hakan Persson, Ericsson May 2015 Optimal beams for two-stream mode change at a certain point, while optimal beams for one-stream mode remain the same. There is a performance penalty for using suboptimal beams. In low SNR, the two modes achieve the same rate since the two-stream mode also chooses one stream operation by allocating all power to one of the eigenchannels. Total Power (dBm) -15[1,9,1,1] -13[1,9,1,1] -11[1,9,1,1] -9[1,9,1,1] -7[1,9,1,1] -5[1,9,1,1] -3[1,9,1,1] [1,7,1,11][1,9,1,1] 1[1,7,11,1][1,9,1,1] 3[1,7,11,1][1,9,1,1] 5[1,7,11,1][1,9,1,1] 7[1,7,11,1][1,9,1,1] 9[1,7,11,1][1,9,1,1] 11[1,7,11,1][1,9,1,1] 13[1,7,11,1][1,9,1,1] 15[1,7,11,1][1,9,1,1]

Submission doc.: IEEE /0627r0 Simulation Results Slide 12Hakan Persson, Ericsson May

Submission doc.: IEEE /0627r0 Simulation Results Slide 13Hakan Persson, Ericsson May 2015 This time, due to poor spatial properties of the channel, both modes pick the same beams for all total transmit power values. In low SNR, the two modes achieve the same rate since the two-stream mode also chooses one stream operation by allocating all power to one of the eigenchannels. 5 Total Power (dBm) -15 [14,8,4,4] -13 [14,8,4,4] -11 [14,8,4,4] -9 [14,8,4,4] -7 [14,8,4,4] -5 [14,8,4,4] -3 [14,8,4,4] [14,8,4,4] [14,8,4,4] 13 [14,8,4,4] 15 [14,8,4,4]

Submission doc.: IEEE /0627r0 Summary and Conclusions Slide 14Hakan Persson, Ericsson May 2015 We observe that optimal beams can be different according to MIMO mode, e.g., maximum number of streams. In some situations, it is useful for the transmitter to know the optimal beams for different MIMO modes. Hence, receiver may need to feed back multiple sets of beamforming indices (each for one MIMO mode). Further study may be required for the design of feedback in 11ay.

Submission doc.: IEEE /0627r0May 2015 Hakan Persson, EricssonSlide 15 References /0606r0, “Next Generation ad: 30+ Gbps WLAN” /0334r1, “MIMO Framework” /0356r0, “MU-MIMO schemes for NG60”