Doc.: IEEE 802.11-14/0811r2 SubmissionYakun Sun, et. al. (Marvell)Slide 1 Overview on RBIR-based PHY Abstraction Date: 2014-07-15 Authors: NameAffiliationsAddressPhoneemail.

Slides:



Advertisements
Similar presentations
PHY Abstraction for TGax System Level Simulations
Advertisements

Submission doc.: IEEE 11-14/0353r0 March 2014 Dongguk Lim, LG ElectronicsSlide 1 Suggestion on PHY Abstraction for Evaluation Methodology Date:
Doc.: IEEE /1234r0 Submission November 2009 Sameer Vermani, QualcommSlide 1 Interference Cancellation for Downlink MU-MIMO Date: Authors:
Submission doc.: IEEE /1214r1 September 2014 Leif Wilhelmsson, Ericsson ABSlide 1 Impact of correlated shadowing in ax system evaluations.
Doc.: ax Submission May 2014 Slide 1 Proposed Rate Control For MAC Simulator Date: Authors:
Doc.: IEEE /0116r1 SubmissionYakun Sun, et. al. (Marvell)Slide 1 Long-Term SINR Calibration for System Simulation Date: Authors: NameAffiliationsAddressPhone .
Doc.: IEEE /1174r0 SubmissionYakun Sun, et. al. (Marvell)Slide 1 PHY Abstraction with Time Varying Interference Date: Authors: NameAffiliationsAddressPhone .
Doc.: IEEE /1420r1Nov 2014 Submission Po-Kai Huang (Intel) Slide 1 The Impact of Preamble Error on MAC System Performance Date: NameAffiliationsAddressPhone .
Doc.: IEEE /1187r1Sep 2014 Submission Po-Kai Huang (Intel) Slide 1 The Effect of Preamble Error Model on MAC Simulator Date: NameAffiliationsAddressPhone .
Doc.: IEEE /1227r3 SubmissionSlide 1 OFDMA Performance Analysis Date: Authors: Tianyu Wu etc. MediaTek Sept 2014 NameAffiliationsAddressPhone .
Doc.: IEEE /0099 Submission Payload Symbol Size for 11ax January 2015 Ron Porat, BroadcomSlide 1 Date: Authors:
Submission doc.: IEEE 11-14/0803r1 July 2014 Wookbong Lee, LG ElectronicsSlide 1 Packet Length for Box 0 Calibration Date: Authors:
Doc.: IEEE /0053r0 Submission Jan Zhang Jiayin (Huawei Technologies)Slide 1 Further Considerations on Calibration of System Level Simulation.
Doc.: IEEE /0335r0 SubmissionYakun Sun, et. al. (Marvell)Slide 1 Instantaneous SINR Calibration for System Simulation Date: Authors:
Doc.: IEEE /1391r0 Submission Nov Yakun Sun, et. Al.Slide 1 About SINR conversion for PHY Abstraction Date: Authors:
Doc.: IEEE /1392r0 Submission Nov Yan Zhang, et. Al.Slide 1 Methodology of Calibrating System Simulation Results Date: Authors:
Doc.: IEEE /0116r0 SubmissionYakun Sun, et. Al.Slide 1 Long-Term SINR Calibration for System Simulation Date: Authors: NameAffiliationsAddressPhone .
Doc.: IEEE /0059r1 Submission Jan Luo Jun, et. al. (Huawei Technologies)Slide 1 Integrated System Level Simulation Date: Authors:
Doc.: IEEE /0099 Submission Payload Symbol Size for 11ax January 2015 Ron Porat, BroadcomSlide 1 Date: Authors:
Doc.: IEEE /0330r2 SubmissionSameer Vermani, QualcommSlide 1 PHY Abstraction Date: Authors: March 2014.
Doc.: IEEE /0647r2 SubmissionSlide 1 PHY abstraction method comparison Date: Authors: Tianyu Wu etc. MediaTek May 2014 NameAffiliationsAddressPhone .
Doc.: IEEE /1523r0 Submission Offline Discussion Minutes of SLS Calibration Date: Authors: Slide 1 Nov 2014 Jiyong Pang (Huawei Technologies)
Submission doc.: IEEE 11-13/1059r0 September 2013 Dongguk Lim, LG ElectronicsSlide 1 PHY Abstraction for HEW Evaluation Methodology Date: Authors:
Doc.: IEEE /663r3 Submission May 2012 Zhanji Wu, et. Al.Slide 1 Low-rate compatible BCC for IEEE ah lowest MCS Date: Authors:
Doc.: IEEE SubmissionSlide 1 Interleavers for 160MHz Transmission Date: Authors: Mediatek.
Doc.: IEEE /0383r0 Submission Considerations on evaluation methodology for candidate HEW PHY&MAC techniques Date: March 2014 Le Liu, et.
Doc.: IEEE /0112r0 Zhanji Wu, et. Al. January 2013 Submission Joint Coding and Modulation Diversity for the Next Generation WLAN Date:
Doc.: IEEE /0799r2 Submission June 2014 Nihar Jindal, Broadcom Modifications to Simulation Scenarios and Calibration Process Date:
Doc.: IEEE /1051r0 Submission September 2013 Ron Porat, Broadcom Evaluation Methodology Date: Authors: Slide 1.
Doc.: IEEE /1523r4 Submission Offline Discussion Minutes of SLS Calibration Date: Authors: Slide 1 Jan 2015 Jiyong Pang (Huawei Technologies)
Doc.:IEEE /0820r0 Submission July 13, 2010 Sudhir Srinivasa et al.Slide 1 MCS Selection and Padding Equations Date: Authors:
Doc.: IEEE /1390r0 Submission Nov Yakun Sun, et. Al.Slide 1 PHY Abstraction for HEW System Level Simulation Date: Authors:
Doc.: IEEE /1289r0 Submission November 2015 Thomas Handte, SonySlide 1 Non-Uniform Constellations for 1024-QAM Date: 2015/11/08 Authors:
Submission doc: IEEE /0807r0 July 2010 R. Kudo et al., NTT Slide 1 PHY Abstraction for MU-MIMO Date: Authors: Name AffiliationsAddressPhone .
Submission doc.: IEEE /1214r0 September 2014 Leif Wilhelmsson, Ericsson ABSlide 1 Impact of correlated shadowing in ax system evaluations.
Doc.: IEEE /0386r0 SubmissionSlide 1 Discussions on MCS selection for SLS calibration Date: Authors: Tianyu Wu etc. MediaTek March.
Doc.: IEEE /0818r1 Submission Further Analysis of Feedback and Frequency Selective Scheduling (FSS) for TGax OFDMA July 2015 Slide 1 Date:
Doc.: IEEE /0889r3 Submission June 2014 Nihar Jindal, Broadcom Performance Gains from CCA Optimization Date: Authors: Slide 1.
Doc.: IEEE 11-04/0304r0 Submission March 2004 John S. Sadowsky, Intel PER Prediction for n MAC Simulation John S. Sadowsky (
Doc.: IEEE /1484r4 Submission January 2012 Hongyuan Zhang, et. Al.Slide 1 11ah Data Transmission Flow Date: Authors:
Doc.: IEEE /1226r0 Submission Sep 2014 Slide 1 SLS Box 1&2 Calibration Results Date: Authors: Russell Huang (MediaTek)
Doc.: IEEE /0174r1 Submission February 2004 John Ketchum, et al, QualcommSlide 1 PHY Abstraction for System Simulation John Ketchum, Bjorn Bjerke,
Submission doc.: IEEE /0871r1 Jul Jiyong Pang, et. al. Huawei Further Calibration Results towards Integrated System Level Simulation Date:
Text Update on PHY Abstraction and SP
PHY Abstraction for MU-MIMO in TGac
Performance Evaluation of OBSS Densification
PHY abstraction method comparison
SLS Box5 Calibration Results and Discussions
Follow up on Preamble Design for WUR
RBIR-based PHY Abstraction with Channel Estimation Error
Further Study of Time Varying Interference and PHY Abstraction
Text Update on PHY Abstraction and SP
Further Study of Time Varying Interference and PHY Abstraction
Consideration on PER Prediction for PHY Abstraction
Further Discussions on PHY Abstraction
Usage of Doppler Bit in 11ax
Considerations on LRLP Transmissions
Marvell Semiconductor
PHY Abstraction based on PER Prediction
Single User MCS Proposal
Overview on RBIR-based PHY Abstraction
Text Update on PHY Abstraction and SP
Consideration on PER Prediction for PHY Abstraction
PER Prediction for n MAC Simulation
Effect of Preamble Decoding on HARQ in be
Text Update on PHY Abstraction and SP
Repetition and interleaver design for MCS0-Rep2
PHY Abstractions Types For HEW System Level Simulations
NGV PHY Performance Results
Link Performance Models for System Level Simulations in LC
Presentation transcript:

doc.: IEEE /0811r2 SubmissionYakun Sun, et. al. (Marvell)Slide 1 Overview on RBIR-based PHY Abstraction Date: Authors: NameAffiliationsAddressPhone Yakun SunMarvell Semiconductor 5488 Marvell Ln, Santa Clara, CA Nihar Jindal Broadcom Ron Porat Jiayin ZhangHuawei Fei TongSamsung Wookbong LeeLG Jianhan Liu MediaTek Tianyu Wu Bin TianQualcomm Bo SunZTE Shahrnaz AziziIntel July, 2014

doc.: IEEE /0811r2 Submission Introduction Received Bit Mutual Information Rate (RBIR) ESM has been well studied for PHY abstraction [1-10]. It has been agreed to use RBIR ESM as PHY abstraction for PHY and integrated system simulation [11]. The current EMD [12] needs updates to provide RBIR PHY abstraction procedure and lookup tables. An overview on RBIR PHY abstraction is presented here. Yakun Sun, et. al. (Marvell)Slide 2 July, 2014

doc.: IEEE /0811r2 Submission RBIR ESM Function RBIR ESM is the symbol level mutual information conditioned on the M-QAM. ESM function is defined as (given the SINR for a tone) –Assuming coded modulation (CM) where U is a zero mean complex Gaussian random variable with variance 1, i.e., U~CN(0,1). RBIR is the average symbol level mutual information for a transmission of Nss spatial streams over N tones and T OFDM symbols. Yakun Sun, et. al. (Marvell)Slide 3 July, 2014

doc.: IEEE /0811r2 Submission Procedure of RBIR PHY Abstraction RBIR PHY abstraction is done by: –Step 1: Generate (both desired and interfering) channels. –Step 2: Calculate the equalizer-output SINR per spatial stream for the n-th tone/t-th OFDM symbol, SINR(i ss,n,t), i ss =1…N ss. Equalizer is MRC if Nss=1, or MMSE if Nss>1. –Step 3: Map N×T×N ss SINRs to 1 RBIR –Step 4: Reverse map 1 RBIR to 1 effective SNR Yakun Sun, et. al. (Marvell)Slide 4 July, 2014

doc.: IEEE /0811r2 Submission Procedure of RBIR PHY Abstraction (2) –Step 5: Estimate the PER for this transmission Selection of reference packet length is defined in [10]. –Step 6: Determine if this transmission is successfully received based on PER. Yakun Sun, et. al. (Marvell)Slide 5 July, 2014

doc.: IEEE /0811r2 Submission Procedure of RBIR PHY Abstraction (3) Yakun Sun, et. al. (Marvell)Slide 6 Step-by-step diagram of PHY abstraction (except for channel generation). ‒ Step 1-2 are more time-consuming and can be simplified; step 3-5 are very efficient. ‒ Note SINR per-OFDM symbol is calculated even for slow-fading channels if interference levels change across the duration of the transmission. July, 2014

doc.: IEEE /0811r2 Submission Lookup Table for RBIR ESM Real-time calculation of RBIR mapping (Φ function) is time consuming. RBIR LUT can be used in this place for quick implementation. –1 LUT for each modulation  5 LUTs for all current defined modulations. For a PHY packet with a fixed MCS, only 1 LUT is loaded for PHY abstraction (PER prediction). Yakun Sun, et. al. (Marvell)Slide 7 July, 2014

doc.: IEEE /0811r2 Submission RBIR PHY Abstraction Using LUT Yakun Sun, et. al. (Marvell)Slide 8 July, 2014

doc.: IEEE /0811r2 Submission Link Adaptation Using LUT Channel-aware link adaptation can also use RBIR-based PER prediction. –Iterate over all MCS to predict performance for each MCS via RBIR. For example, genie max-rate link adaptation: –Suppose the SINR for each tone and each OFDM symbol is known. –For mcs = 0 to 9 Step 1: Map SINRs into SNR eff for the corresponding modulation –1 out of 5 RBIR LUTs each iteration Step 2: Predict PER based on SNR eff for the corresponding MCS –1 out of 10 PER LUTs each iteration Step 3: R(mcs) = (1-PER) * rate(mcs) –Select MCS * = argmax_{mcs=0…9} R(mcs) Yakun Sun, et. al. (Marvell)Slide 9 July, 2014

doc.: IEEE /0811r2 Submission What is Needed in EMD for RBIR? LUT for RBIR ESM mapping and AWGN PER. –5 RBIR LUTs –10 PER LUTs for BCC/LDPC respectively for each reference packet length. –LUTs are provided in [14]. Yakun Sun, et. al. (Marvell)Slide 10 July, 2014

doc.: IEEE /0811r2 Submission Further Works Impact of implementation loss –Channel estimation error (e.g., [5,13]) –Impact of excessive long channels for outdoor scenarios (ISI/ICI) –Other practical impairments (CFO/timing/PN…) Yakun Sun, et. al. (Marvell)Slide 11 July, 2014

doc.: IEEE /0811r2 Submission Straw Poll Include the procedure of PHY abstraction in slide3-4 into EMD Y: N: A: July, 2014 Yakun Sun, et. al. (Marvell)Slide 12

doc.: IEEE /0811r2 Submission References 1.IEEE m-08/004r5, “IEEE m Evaluation Methodology Document” 2.3GPP TR V2.0.0 “Feasibility Study for OFDM for UTRAN enhancement”, June hew-PHY-abstraction-for-HEW-system-level-simulation hew-phyabstraction-for-hew-system-level-simulation hew-suggestion-on-phy-abstraction-for-evaluation-methodology hew-PHY-abstraction-in-system-level-simulation-for-HEW- study hew-instantenous-sinr-calibration-for-system-simulation ax-further-discussion-on-phy-abstraction ax-phy-abstraction-comparison ax-Packet-Length-for-Box-0-Calibration ax-phy-abstraction-types-for-11ax-system-level-simulation ax-evaluation-methodology ax-RBIR-based-phy-abstraction-with-channel-estimation-error ax-PHY-Abstraction-Tables-for-11ax-System-Level-Simulation Yakun Sun, et. al. (Marvell)Slide 13 July, 2014