Service Vision. Ubiquitous Connectivity. Everything on Cloud. Immersive Experience. Telepresence. Giga-bit Data Rate. Massive Connectivity

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2 Service Vision Everything on Cloud Immersive Experience Ubiquitous Connectivity Telepresence Giga-bit Data Rate Giga-bit Data Rate Massive Connectivity Giga-bit Data Rate Ultra Low Latency Ultra Low Latency Ubiquitous Coverage Ultra Low Latency 2

3 Technical Requirements ITU-R WP5D, 5D/589-E 3

4 Key Enabling Technologies Disruptive RAN Technologies for Significant Performance Enhancements Peak Data Rate Cell Edge Data Rate Cell Spectral Efficiency Mobility Cost Efficiency Simultaneous Connection Advanced MIMO & BF Half -Wavelength 700 MHz Technology for Above 6 GHz Legacy Bands 3 GHz GHz New Bands Latency Cell Capacity Enhancement Peak Data Rate Increase 4

5 FD-MIMO for <6GHz Bands (1/4) FD-MIMO with Massive Antenna Technologies 2D Array Based Adaptive Beamforming Higher Order MU-MIMO with 3D Beamforming FD-MIMO Study Item Release 13 Work Item Release 14 Work Item 14. 4Q 15. 2Q 16. 1Q 17. 2Q Release 8 Max 4Tx (1V4H) SU-MIMO Horizontal beamforming Release 10 Max 8Tx (1V8H) MU-MIMO Horizontal beamforming FD-MIMO Max 64Tx (8V8H) Higher Order MU-MIMO Horizontal & Vertical beamforming 5

6 FD-MIMO for <6GHz Bands (2/4) Cell average Spectral Efficiency 5%tile Spectral Efficiency System Performance of FD-MIMO (Simulation Results) 2~3-Fold Average System Throughput Enhancement 2-Tier Wrap-Around Model 19 cell / 2-tier wrap around (3 sector / cell) 3D UMi, 200m ISD 2D Antenna Panel Form-Factor Antenna spacing : 0.8 in vertical / 0.5 in horizontal (bps/hz) 2D Beamforming Max 4 MU-MIMO 3D Beamforming Max 8 MU-MIMO (bps/hz) Array Configuration: ~275% 8 Port Tx 32 Port Tx Subarray (K=8) Subarray (e.g., K=2) Conventional Ant. Array: FD-MIMO Ant. Array: ( K : Number of antenna elements per port ) Cell T-put (TM4,9) Cell T-put (FD-MIMO) 5%tile Tput 6

7 FD-MIMO for <6GHz Bands (3/4) FD-MIMO PoC 1.0 in 2013 Indoor/Outdoor Environment for LTE TDD with 10MHz BW at 2.6GHz Antenna Configuration : 32Tx/32Rx (4V8H) 128 elements 32 TX/RX TDD, 2.582GHz Automatic self calibration Size: 50x100cm Indoor Test UE emulator#1 Front view FD-MIMO Baseband unit Indoor Test 2-UE MU-MIMO w/ adaptive beamforming based on SRS Outdoor Test Compliant with LTE air interface 32 channel precoding with sounding 4-UE MU-MIMO FD-MIMO RF unit with antenna panel Back view Outdoor Test Test 1: 2-UE MU-MIMO w/ fixed beamforming Test 2: 2-UE MU-MIMO w/ adaptive beamforming based on SRS 7

8 FD-MIMO for <6GHz Bands (4/4) FD-MIMO PoC 2.0 High Order ( 8 UEs) MU-MIMO Demonstration by FD-MIMO System at 3.5GHz LTE Rel.13 Pre-Release small-cell FD-MIMO Compact enb with fully integrated array antenna, RF and BB 30cm(W) x 50cm(H) Support of Adaptive 3D-Beamforming and High-order MU-MIMO 20MHz BW, 32-TRX Ports Novel ant. calibration network and Compact array architecture Front-side (Radome cover) Inside (RF/Antenna Board) 8

9 Recent R&D Results for mmwave - Testbed World s mmwave Testbed and High Speed Mobility Test 25 mm 56 mm 42 mm 5 mm 9

10 Recent R&D Results for mmwave - Components Antenna/RFIC for Mobile Device Polarization Interleaved Array and CMOS RFIC/GaAs FEM at 28 GHz 360 Coverage Antenna and 16 Chain CMOS RFIC at 60GHz 28GHz Array Antenna Module 60GHz Module with Array Antenna Horizontal-Pol. Ant. End-Fire Antenna Area for Ant. Beamforming CMOS RFIC / GaAs FEM Vertical-Pol. Ant. Dual-Pol. Antenna 360 Coverage Polarization Loss < 3 db D2D Active Measurement System Client Beamforming CMOS RFIC Server Embedded BB Embedded BB EVM -25 db CMOS RFIC GaAs FEM One-Cable Connection CMOS RFIC Tx/Rx EVM 16-chain Beamforming 10

11 Recent R&D Results for mmwave - Channel Modeling (1/2) Leading Channel Modeling Activity toward Outdoor Cellular Deployment Gbps Data Rate Support Envisioned by mmwave Propagation Analysis Measurement at NYU Campus Calibration between Measurement & Simulation Angle Spread New York NYU Measurement New York Ray-Tracing Comparison of propagation models : 28GHz Measurment Samples - NYU Campus Measurement-based Pathloss Model (NLoS) Ray-tracing Samples - NYU Campus Ray-tracing-based Pathloss Model (NLoS) Universities & Research Centers TX Angular Spread Path Loss (db) NYU, USC, KAIST, CATR, BUPT TX Angle Spread Cal Measurement Index # Pathloss Cal Distance between transmitter and receiver (m) Research Projects mmmagic in 5GPPP, COST IC1004 Action Ray-tracing Simulation Channel Modeling for Large and Small Scale Standardardization Plan 5G Channel Model SI in 3GPP ( 15.3Q) pathloss model LoS Prob.

12 Recent R&D Results for mmwave - Channel Modeling (2/2) 600m Gbps Data Rate Support Envisioned by mmwave Propagation Analysis Multi-cell Analysis Shows Gbps-Transmission Feasibility in an Urban Environment 28 GHz (7 BS) 60 GHz (10 BS) 10 Gbps 5 Gbps 2 Gbps Ottawa, Canada 3D Building Model 1 Gbps 0.3 Gbps 0.1 Gbps Outage Ray-tracing Simulation (Urban Micro Scenario) 400m System Margin : 146 db Bandwidth : 500 MHz Peak Data Rate : 2.2 Gbps System Margin : 136 db Bandwidth : 2.16 GHz Peak Data Rate : 10 Gbps 12 Building

13 Global 5G R&D Activities Global 5G Initiatives with Samsung s Active Engagements 5G PPP Association (Full Member) Leading and Participating the EU Flagship 5G Projects 5G Forum Executive Board Member Member of Giga KOREA Project 5GIC Founding Member NYU Wireless Center (Board Member) Issued NOI on the use of above 24 GHz for Mobile IMT-2020 Promotion Group Member of Future Forum Contributor to 863 Project 5GMF (5G Mobile Promotion Forum) 13

14 Expected 5G Timelines Standardization and Spectrum Allocation WRC-15 WRC-19 IMT-2020 Specification RAN 5G Workshop *Finalized Channel Model SI *Finalized < 6GHz SI > 6GHz SI < 6GHzWI > 6GHz WI Further Enhancements Rel-13 Rel-14 (15mon) Rel-15 Rel-16 5G Standards 5G Phase I 5G Phase II 14

15 Samsung s white paper on 5G technology is now available for download on the company s website. ( 15

16 Thank You