MU-MIMO codebook based transmission flow in IEEE802.11ay

Slides:



Advertisements
Similar presentations
Doc.: IEEE /0883r1 Submission July 2010 Slide 1 Comment Resolution for “Spatial Reuse” Subgroup Date: Authors: Thomas Derham, Orange.
Advertisements

Doc.: IEEE /0630r0 Submission May 2015 Intel CorporationSlide 1 Verification of IEEE ad Channel Model for Enterprise Cubical Environment.
MU-MIMO schemes for NG60 Authors: Name Affiliation Address Phone
Submission doc.: IEEE /0868r0 July 2015 Hakan Persson, Ericsson ABSlide 1 Impact of Frequency Selective Scheduling Feedback for OFDMA Date:
Submission doc.: IEEE /0103r0 January 2016 Assaf KasherSlide 1 Beamforming Training proposals Date: Authors:
Channel Access in A-BFT over Multiple Channels
Submission doc.: IEEE /1144 September 2015 Simulation Scenarios for TGay PHY Layer Evaluation Methodology Slide 1Alexander Maltsev, Intel Authors:
Doc.: IEEE /1209r0 Submission Hotel lobby SU-MIMO channel modeling: 2x2 golden set generation Date: September 2016 Alexander Maltsev,
Doc.: IEEE /0632r1 Submission May 2016 Intel CorporationSlide 1 Performance Analysis of Robust Transmission Modes for MIMO in 11ay Date:
Technology training (Session 6)
Beam Tracking for ay Date: Authors: January 2017
MU MIMO beamforming protocol proposal
Closed Loop SU-MIMO Performance with Quantized Feedback
Open Loop vs Closed Loop SU-MIMO for 11ay
Improvements to enhanced SLS beamforming
Enhanced SLS BF flow for efficient AP-STA access in dense environment
GI Overhead/Performance Impact on Open-Loop SU-MIMO
MU-MIMO codebook based transmission flow in IEEE802.11ay
Discussions on 11ac PHY Efficiency
BRP Transmit Sector Sweep
Advanced MU-MIMO acknowledgement and PS flow
Protocol and frames for TDD link maintenance
“Near-far” self-classification capabilities of EDMG STAs
Maximum Tone Grouping Size for ax Feedback
Further Discussion on Beam Tracking for ay
Beamforming protocol differences for mmWave Distribution Networks
“Near-far” self-classification capabilities of EDMG STAs
Hybrid Beamforming Protocol Design Details
Protocols for Hybrid Beamforming in ay
“Near-far” self-classification capabilities of EDMG STAs
Analog and Baseband Beam Tracking in ay
Motivation and Requirements on 60 GHz Beamforming
Maximum Tone Grouping Size for ax Feedback
Asymmetric beamforming training procedure enhancements
MU-MIMO STA scheduling strategy and Related PHY signaling
Clarification on TXSS Sector List Feedback
MU-MIMO channel access flow for 11ay
Month Year doc.: IEEE yy/xxxxr0 September 2010
Maximum Tone Grouping Size for ax Feedback
“Near-far” self-classification capabilities of EDMG STAs
Discussions on 11ac PHY Efficiency
TDD-SP Coexistence Date: September 2016
Enhanced SLS BF flow for efficient AP-STA access in dense environment
Distributed Scheduling (Eliminating Need for Clustering)
“Near-far” self-classification capabilities of EDMG STAs
MAC Simulation Results and Methodology (60GHz)
MAC Simulation Results and Methodology (60GHz)
Multi-BF Procedure for 11ay
Further Discussion on Beam Tracking for ay
Hybrid Beamforming Protocol Design Details
Protocols for Hybrid Beamforming in ay
Discussions on 11ac PHY Efficiency
Spatial Sharing Mechanism in aj (60GHz New Technique Proposal)
Multi-BF Procedure for 11ay
“Near-far” self-classification capabilities of EDMG STAs
Generalized Multi-Beamforming for 11ay
AP Coordination in EHT Date: Authors: Name Affiliations
Clarification on TXSS Sector List Feedback
BTI and A-BFT for EDMG AP with Multiple Antennas
EDMG Support Discovery
Header-A Definition for EDMG Control Mode
Strawmodel ac Specification Framework
SU-MIMO and MU-MIMO link access
Protocol and frames for TDD link maintenance
MIMO phase in MU-MIMO Beamforming
Discussion on Rank Adaptation
Distributed Scheduling (Eliminating Need for Clustering)
Spatial Sharing Mechanism in aj (60GHz New Technique Proposal)
AP Coordination in EHT Date: Authors: Name Affiliations
Feedback of Short SSW Packet Based Sector Sweep in DTI
Presentation transcript:

MU-MIMO codebook based transmission flow in IEEE802.11ay Authors: Name Affiliation Address Phone Email Alexander Maltsev Intel Turgeneva 30, Nizhny Novgorod, 603024, Russia +7 (831) 2969444 alexander.maltsev@intel.com Ilya Bolotin ilya.bolotin@intel.com Andrey Pudeyev andrey.pudeyev@intel.com Artyom Lomayev   artyom.lomayev@intel.com Alexander Maltsev, Intel

Abstract This presentation proposes the MU-MIMO codebook based transmission flow for IEEE802.11ay. The flow contains the Enhanced SLS beamforming which provides extended coverage and beam training for both TX and RX of all EDMG STAs. The proposed MU-MIMO transmission flow also contains scheduling procedure. System level simulations have shown that such training is enough accurate to establish MU-MIMO links with high throughputs. Alexander Maltsev, Intel

MU-MIMO channel access and transmission flow Alexander Maltsev, Intel

Enhanced SLS Alexander Maltsev, Intel DTI A-BFT BTI Far away STAs BFT allocation Directional CBAP/SP Far away STAs Alexander Maltsev, Intel

MU Grouping and Scheduling During Enhanced SLS EDMG STA reports to PCP/AP several best sectors defined during BTI to give the PCP/AP scheduler more flexibility in MU grouping. The Destination AID field of the Allocation field of the Extended Schedule element may contain the Group ID. To associate a Group ID with a group of STAs a EDMG Group ID Set element is already defined in D0.32 (9.4.2.254 EDMG Group ID Set element). It should be sent together with Extended Schedule element in DMG Beacon or Announce frames. But the EDMG Group fields in the EDMG Group ID Set element should contain not only the STAs AIDs but also the indexes of the AP TX sectors (from the best sectors reported by STAs) which will be used by the AP for transmission to each STA in MU mode of operation. Octets 1 1 1 1 11 11 Bits 8 8 2 8 2 8 2 Alexander Maltsev, Intel

DL MU-MIMO transmission flow AP reserves space-time slots for ACK and feedback for each STA. Timing and order of ACK transmission follows the order of STAs in EDMG Group fields. Alexander Maltsev, Intel

System level simulations To demonstrate that codebook-based AWVs, obtained during the Enhanced SLS BF phase, are enough accurate to establish MU-MIMO links with high throughputs, the system level simulations based on IEEE 802.11ad OFDM PHY were carried out. The comparison between two types of antenna systems configurations and beamforming was done: 2D DFT codebook for 8x16 antenna array Full adaptive antenna (FAA) array with SVD-based wideband beamforming and scheduling Multi-Stream Phased Antenna Array (MS PAA) with codebook-based wideband beamforming and scheduling (2D DFT codebook was used) Alexander Maltsev, Intel

System level simulator parameters Assumption Deployment Open area, Street canyon, Hotel lobby Channel model Quasi-Deterministic Open area, Street canyon, Hotel lobby Carrier / BW 60 GHz / 2,16 GHz AP antenna array Height 6m Configuration 8x16 elements TX power 19 dBm Gain 26 dBi STA antenna 1.5m Omni, 0 dBi Transmission scheme DL MU-MIMO w TPC AP antenna array type/BF FAA/Wideband SVD based MS PAA/Codebook-based 2D DFT Number of RF chains FAA – 128 MS PAA – 8 Channel estimation Perfect Scheduling Type Greedy PF MU scheduling Traffic load Full buffer Alexander Maltsev, Intel

Simulation results Scenario AP antenna array model and beamforming scheme AP throughput, Gbps Avg. user throughput, Mbps Cell-edge user throughput, Mbps Avg. size of MU group Open area FAA/Wideband SVD 10.2 205 107 4.8 MS PAA/Codebook based 7.2 (-29%) 144 70 3.8 Street canyon 10.0 222 81 2.5 7.8 (-22%) 173 75 2.3 Hotel lobby 17.0 848 484 4.5 11.5 (-32%) 575 367 3.5 The system level simulations for DL MU-MIMO mode in main large area dense environments have shown that the MS PAA codebook-based 2D DFT wideband beamforming (which can be realized by using the proposed transmission flow) demonstrates acceptable degradation (20-30%) comparing to the FAA SVD-based wideband beamforming. Note: FAA array requires a number of RF chains equal to the number of antenna array elements (here 128), while the MS PAA requires the number of RF chains equal to the number of streams (which here was limited by 8). Alexander Maltsev, Intel

Simulation results Figures below demonstrate the average number of STA in MU group in codebook-based MU-MIMO versus the number of best AP TX sectors reported to AP by each STA As it can be seen from the simulation results, for efficient MU-MIMO grouping it is sufficient for EDMG STA to report only two AP TX sectors, received by EDMG STA with best quality in BTI. It may give up to 8% throughput increasing in complex multipath channels. Alexander Maltsev, Intel

Straw poll 1 Would you agree that “EDMG Group fields of EDMG Group ID Set element should contain the STAs AIDs and the corresponding indexes of the AP TX sectors (chosen from the best sectors reported by STAs), which may be used by the AP for transmission to each STA in MU mode of operation.” Alexander Maltsev, Intel