Submission doc.: IEEE 802.11-15/1094 Overview and discussion about the next steps for 802.11ay channel modeling Date: 2015-09-15 Authors: Slide 1.

Slides:



Advertisements
Similar presentations
mmWave MIMO Link Budget Estimation for Indoor Environment
Advertisements

Doc.: IEEE /1110r1 September 2013 Submission Beam codebook design scheme for IEEE802.11aj DU GuanglongSlide 1 Date: Presenter:
Submission doc.: IEEE /0296r0 March 2015 Cagatay Capar, EricssonSlide 1 Long range indoor channel measurements for the 60 GHz band Date:
Doc.: IEEE /0436r0 Submission February 2011 Mediatek Path Loss and Delay Spread Models for 11ah Date: Authors: Slide 1.
Ray Tracing A radio signal will typically encounter multiple objects and will be reflected, diffracted, or scattered These are called multipath signal.
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:
Channel Sounding for ay
Submission doc.: IEEE /0329r0 Channel Sounding for NG60 Date: Authors: Slide 1.
July 2015 doc.: IEEE /XXXXr0 July 2015
Submission doc.: IEEE /0808 July 2015 Songnam Hong, EricssonSlide 1 Frequency-independent Digital Precoder for Hybrid MIMO Precoding Date:
Submission doc.: IEEE 11-12/0844r0 Slide 1 Non-linear Multiuser MIMO for next generation WLAN Date: Authors: Shoichi Kitazawa, ATR.
Doc.: IEEE /1361r3 Submission Channel Measurement for IEEE aj (45 GHz) Date: Authors/contributors: Haiming Wang (SEU)Slide 1.
Channel Sounding for ay
Doc.: IEEE Submission November, 2011 Bob Conley et al., Gonzaga U, Eigen WirelessSlide 1 Project: IEEE P Working Group for Wireless Personal.
Doc.: IEEE c Submission January 2006 Slide 1 Hiroyo Ogawa, NICT Project: IEEE P Working Group for Wireless Personal Area Networks.
Doc.: IEEE /0402r2 Submission May 2012 Haiming Wang, Xiaoming PengSlide 1 Date: Authors: Overview of CWPAN SG5 QLINKPAN.
Doc.: IEEE /1152r0 Submission November 2009 Tian-Wei Huang, National Taiwan UniversitySlide 1 60-GHz Living-Room Channel Measurements Date:
1 PROPAGATION ASPECTS FOR SMART ANTENNAS IN WIRELESS SYSTEMS JACK H. WINTERS AT&T Labs - Research Red Bank, NJ July 17,
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.
Submission doc.: IEEE /0416r1 Slide 1 Broadband Indoor TVWS Channel Measurement and Characterization at 670 MHz Date: Mar 2012 Ming-Tuo.
Submission doc.: IEEE /0627r0 May 2015 Hakan Persson, EricssonSlide 1 Beam Selection for Hybrid MIMO Precoding Date: Authors:
Submission doc.: IEEE /1487r0 November 2014 Amichai Sanderovich, QualcommSlide 1 NG60 Channel model challenges Date: Authors:
Month Year doc.: IEEE yy/xxxxr0 July 2015
Doc.: IEEE d_Intra-Device_Propagation_Measuremets Submission March 2015 Slide 1 Project: IEEE P Working Group for Wireless Personal.
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:
Submission doc.: IEEE /xxxxr0 July 2015 Camillo Gentile, NISTSlide 1 NIST Preliminary Channel Measurements at 83 GHz Date: Authors:
Efficient Beam Selection for Hybrid Beamforming
March 2004 Communications Research Laboratory Slide 1 doc.: IEEE a Submission Project: IEEE P Working Group for Wireless Personal.
Doc.: IEEE /0553r1 Submission May 2009 Alexander Maltsev, Intel Corp.Slide 1 Path Loss Model Development for TGad Channel Models Date:
Doc.: IEEE /0431r0 Submission April 2009 Alexander Maltsev, Intel CorporationSlide 1 Polarization Model for 60 GHz Date: Authors:
Doc.: IEEE /0493r0 Submission May 2010 Changsoon Choi, IHP microelectronicsSlide 1 Beamforming training for IEEE ad Date: Authors:
November 2015 doc.: IEEE /XXXXr0 November 2015
Doc.: IEEE /1145r0 Submission September 2015 Intel CorporationSlide 1 SU-MIMO Configurations for IEEE ay Date: Authors:
November 2015 doc.: IEEE / ay SubmissionCamillo Gentile, NISTSlide 1 Preliminary Q-D Model for Lab Environment at 83 GHz Date:
Remcom Inc. 315 S. Allen St., Suite 416  State College, PA  USA Tel:  Fax:   ©
INSTITUT D’ÉLECTRONIQUE ET DE TÉLÉCOMMUNICATIONS DE RENNES 1 UMR 6164 A reciprocal MIMO-UWB Radio Channel Deterministic Modeling Framework CROWNCOM
Doc.: IEEE /1044r0 Submission September 2008 Alexander Maltsev, IntelSlide 1 60 GHz WLAN Experimental Investigations Date: Authors:
Doc.: IEEE /0133r0 Submission January 2010 Alexander Maltsev, Intel TGad Channel Model Update Authors: Date:
Doc.: thz Fast Beam Searching Concept Submission Match 2015 Bile Peng (TU Braunschweig). Slide 1 Project: IEEE P Working Group for.
Doc.: IEEE /1229r1 Submission November 2009 Alexander Maltsev, IntelSlide 1 Application of 60 GHz Channel Models for Comparison of TGad Proposals.
Doc.: IEEE /0632r0 Submission May 2015 Intel CorporationSlide 1 Experimental Measurements for Short Range LOS SU-MIMO Date: Authors:
Doc.: IEEE /0632r0 Submission May 2008 Vinko Erceg, BroadcomSlide 1 VHT 60 GHz Channel Model Recommendation Date: Authors:
Submission doc.: IEEE /0110r0 January 2015 Amichai Sanderovich, QualcommSlide 1 NGP for 60GHz Date: Authors:
Doc.: IEEE Submission Nov 2014 Link Budget Analysis for 40-50GHz Indoor Usage Date: Authors: Slide 1Jianhan Liu, Mediatek Inc.
Submission doc.: IEEE /xxxxr0 July 2015 Camillo Gentile, NISTSlide 1 NIST Preliminary Channel Measurements at 83 GHz Date: YYYY-MM-DD Authors:
March 2016 doc.: IEEE / ay SubmissionCamillo Gentile, NISTSlide 1 NIST Channel Model for Conference Room at 83 GHz Date: Authors:
Submission doc.: IEEE /0668r0 Analysis of Intra-Cluster Effects Using Pencil Beam Antennas Date: Authors: Slide 1 NameAffiliationAddressPhone .
Doc.: IEEE /1209r0 Submission Hotel lobby SU-MIMO channel modeling: 2x2 golden set generation Date: September 2016 Alexander Maltsev,
Doc.: IEEE /0664r0 Submission May 2010 Alexander Maltsev, Intel TGad Channel Model Update Authors: Date:
Submission doc.: IEEE /0316r0 Low Complexity Beamtraining for Hybrid MIMO Date: Slide 1 March 2016 Authors: Dana Ciochina (SONY), Felix.
Technische Universität Ilmenau
<month year> doc.: IEEE a Nov 2005
Antenna selection and RF processing for MIMO systems
Modified Channel Model For Outdoor Open Area Hotspot Access Scenario
Small-Scale Characteristics of 45 GHz Based on Channel Measurement
60 GHz Cubicle Wall Reflectivity
<month year> doc.: IEEE c January, 2006
Summery of Channel Measurement for the ay Channel Model Document
Technische Universität Ilmenau
November, 2011 Project: IEEE P Working Group for Wireless Personal Area Networks (WPANs) Submission Title: [Smart Antenna Opportunities for Spectrum.
<month year> doc.: IEEE c January, 2006
Update on “Channel Models for 60 GHz WLAN Systems” Document
Overview of CWPAN SG5 QLINKPAN
Outdoor measurement for a rooftop to street scenario at 60 GHz
Channel Modeling with PAA Orientations
doc.: IEEE <doc#>
doc.: IEEE <doc#>
Presentation transcript:

Submission doc.: IEEE /1094 Overview and discussion about the next steps for ay channel modeling Date: Authors: Slide 1

Submission doc.: IEEE /1094 Abstract In this presentation, the next steps for the channel modeling for 60 GHz indoor and outdoor scenarios are discussed. To find a useful model it is necessary to find out which approach is the best to combine the measurement and modeling for ay. Some challenges for the extension of the existing channel models to mmWave and broadband signals are demonstrated. Slide 2

Submission doc.: IEEE /1094 Outline Motivation Requirements for the ay channel model Channel Models Challenges in the modeling development Conclusion Slide 3

Submission doc.: IEEE /1094 Motivation ISM-band at 60 GHz Unlicensed and wide bandwidth available (up to 7 GHz) WLAN/WiGig (802.11ad) and WPAN ( c) Advanced system concepts  define measurement and modelling requirements Massive MIMO/pencil beamforming  large spatial bandwidth Adaptive or switched selection beamforming to mitigate shadowing Channel bonding  large bandwidth Propagation channel Double directional measurements are needed to characterized the full channel Polarization is an important aspect High dynamic range are essential to measure the different propagation effects Channel characterization for different usage cases Slide 4

Submission doc.: IEEE /1094 Requirements for the TG.ay channel model -High bandwidth up to 4 GHz -Full polarimetric description -Full 3D channel model description -Antenna independent model -DoA and DoD -Beamforming capability -MIMO capability -Time evolution -Beam Tracking -Spatial consistency -Multi user capability -Proper distinction between deterministic and stochastic channel contributions Slide 5

Submission doc.: IEEE /1094 Empirical Channel Models  Basic Properties Parameters extracted from the measurements (based on measurements) HRPE (High Resolution Parameter Estimation) necessary to remove the antenna pattern from the model parameters Approved procedure such in WINNER, COST and ITU models  Open issues for broadband mmWave channel models No HRPE algorithms for the current mmWave measurements are available (Antenna element spacing smaller than λ/2 required) No broadband effects are included The channel is more deterministic due to directive antennas and bandwidth Long measurement time for directional measurements because there are no measurement arrays current available Consequently fewer measurement points with too high opening angles of the antennas for a statistical analysis Slide 6

Submission doc.: IEEE /1094 Deterministic Channel Models (1)  Deterministic Model Based on fix geometry (Building, rooms or scenarios) Analysis mostly applied to particular situations A popular modeling method is ray tracing (map based models)  The idea of a simple ray tracing model in ay How to extract the parameters for transmission, reflection and diffraction? (effective roughness model) How to include broadband effects? From measurements but it requires to meet some conditions Unambiguous assignment of the coefficients to geometry and materials Separation of the individual effects Slide 7

Submission doc.: IEEE /1094 Slide 8 Usage of the 60 GHz Entrance Hall Measurements to Extract Parameters for the Ray Tracer

Submission doc.: IEEE /1094 Dual Polarimetric Ultra-Wideband Channel Sounder (DP-UMCS) 7 GHz BW up to 10 GHz measurable bandwidth Maximum excess delay of 606 ns (180 m) in CS version 1 Dual polarization measurement capability 25 dB AGC (Automatic Gain Control) with 3.5 dB steps High instantaneous dynamic range: up to 75 dB Multi-Link and Massive MIMO capabilities Double directional measurements (with 1 TX and 2 RX) Multiplier X8 PA min. 23 dBm 7 GHz Oscillator Multiplier X8 LNA Gain : 35 dB UWB Sounder RX 0 – 3.5 GHz 3.5 GHz GHz H Pol. V Pol. CH 1 CH 2 H Pol. V Pol. Switch TX Module RX Module GHz PA min. 23dBm Step Attenuator LNA Gain : 35 dB UWB Sounder TX 0 – 3.5 GHz 3.5 GHz GHz Optical link Step Attenuator Slide 9

Submission doc.: IEEE /1094 Entrance Hall Scenario Slide 10 Dimensions: 7 x 25m x 9m Class and metal 3 different floors

Submission doc.: IEEE /1094 Entrance Hall of Zuse – Bau at TU Ilmenau 1 Tx Positions (1 Tx in the ground floor) 9 Rx Positions (all in the ground floor) Entrance Hall Scenario Tx 1 Rx 1 Rx 2 Rx 3 Rx 14 Rx 4 Rx 9 Rx 10 Rx 2 Rx 1

Submission doc.: IEEE /1094 Static access point scenario Tx: Located on the side of the wall Height from ground 2.5 m 30°HPBW of the antenna Rx: Located at several points in the hall Height 1.4m 30°HPBW of the antenna Scanning at Tx and Rx stage via positioners Tx: Azimuth -90°... 30° 90° Elevation -90°…30°…90° Rx:Azimuth -180°…30°…150° Measurement Set-Up A B C Tx X Rx 1 2.8m 5m Rx 2 Rx 3 Rx 4 Azimuth 0° Rx 12 Rx 13 Rx 14 Rx 10 Rx 9

Submission doc.: IEEE /1094 Data Pre-processing

Submission doc.: IEEE /1094 At single Rx beam Power Angular Profile at Tx

Submission doc.: IEEE /1094 Power Angular Profile at Rx for different Polarizations Power Angular Profile at Rx

Submission doc.: IEEE /1094 Power Delay Profile at Rx for different Polarizations Power Delay Profile at single Rx and single Tx beam

Submission doc.: IEEE /1094 Deterministic Channel Models (2) To extract parameters for the ray tracer from the last 60 GHz entrance hall measurement campaign It doesn't work because the beamwidth of the used antenna is high  30°HPBW We cannot separate the geometrical structures We need a better 3D map of the scenario and a high gain antenna  This increases the measurement time to several days per measurement point by the current measurement setup Slide 17

Submission doc.: IEEE /1094 Physical-Statistical Models (GBSCM, Hybrid Model) Combinations of deterministic and statistical model Widely accepted at standardization (3GPP, ITU,….) Extensions possible Next steps in the development 60 GHz channel model Extension of a 3GPP model to the new requirements for mmWave broadband systems Combined parametrization from ray tracing and measurements Future perspective: measurements with dual polarized antenna arrays Development of a HRPE for mmWave broadband systems Slide 18

Submission doc.: IEEE /1094 Conclusion/Discussion An overview on the different channel model types All this models can be used as the basis for the extension to mmWave and broadband signals A simple ray racing model may be good for indoor but not for outdoor? The most promising solution is a physical-stochastically model (GBSCM) Parametrization with ray tracing and measurements Next Steps Extension of the calibration  AGC calibration for dual pol. waveguide systems Outdoor: Above roof top to street level measurements Development of an HRPE for broadband signals and antenna spacing greater than λ/2 Analysis of broadband effects in the channel and modeling methods Extension of the current physical-stochastically models Slide 19