NG Fronthaul Network Requirements and Architecture Tony Tam – Fujitsu Network Communications Peter K. Cho – Actus Networks/HFR, Inc Compliance with IEEE Standards Policies and Procedures Subclause 5.2.1 of the IEEE-SA Standards Board Bylaws states, "While participating in IEEE standards development activities, all participants...shall act in accordance with all applicable laws (nation-based and international), the IEEE Code of Ethics, and with IEEE Standards policies and procedures." The contributor acknowledges and accepts that this contribution is subject to • The IEEE Standards copyright policy as stated in the IEEE-SA Standards Board Bylaws, section 7, http://standards.ieee.org/develop/policies/bylaws/sect6-7.html#7, and the IEEESA Standards Board Operations Manual, section 6.1, http://standards.ieee.org/develop/policies/opman/sect6.html • The IEEE Standards patent policy as stated in the IEEE-SA Standards Board Bylaws, section 6, http://standards.ieee.org/guides/bylaws/sect6-7.html#6, and the IEEE-SA Standards Board Operations Manual, section 6.3, http://standards.ieee.org/develop/policies/opman/sect6.html 2 IEEE 1914 Next Generation Fronthaul Interface Jingri Huang, [email protected] NGFI Network Requirements and Architecture Date: 2016-08-22 – 2016-08-24 Author(s): Name Affiliation Tony Tam Fujitsu Network Communications Peter Cho Actus Networks/HFR Inc. Phone [optional] Email [optional] [email protected] om choho@actusnetworks .com Agenda 5G RAN Requirements and Network Architecture NG Fronthaul Requirements and Network Architecture Radio over Ethernet 4 5G Network Requirements CAPEX Revenue OPEX IMT 2020 5G Vision and Requirements White Paper May 2014 5 5G RAN Network Bullet Train Highly Reliable QoE 6 5G RAN Network – Network Slicing 7 NG Fronthaul Key Requirements China Mobile NGFI Workshop June 2015 Transport Efficiency and Scalability Decouple MIMO Traffic bandwidth Massive MIMO processed at RRH to reduce transport Traffic Load Adaptation – Dynamic Transport Bandwidth adaptive to User Traffic Load Statistical Multiplexing – Tidal effect over large scale of RRHs RAN Network Efficiency Centralize RAN Coordination Functions as much as possible Tradeoff between Transport and RAN efficiency RAN Networking and Virtualization Dynamic Networking – Mesh Network, Load Balancing and vBBU switching RAN Interface Agnostic Support CPRI and Radio over Ethernet (NGFI Packet, RF over Packet) 8 Transport and RAN KPI Tradeoff – 4G LTE Symmetric Split Cases 20M LTE Carrier, 2 interface, 8x8MIMO, 100 Users 98309830 Mbps 10000 Transport Efficiency 8000 6000 4000 2689 2000 0 180 109 Method 1 1 464.6 225112.5 125.2 Method 2 Method 3 Down Link 498 Method 4 Up Link 0.5 Delay (Magnitude, ms) 0 Low Delay & Jitter High Time Sync. Accuracy RRH UE Processing, related to traffic Level UE Processing, MIMO related Potential Choices RAN Efficiency Coordination Method 1 Method 2 Down Link CS/CB CS/CB CS/CB CS/CB Cell Processing, unrelated to traffic level Up Link China Mobile NGFI Workshop, June 4, 2015 Method 5 Method 3 Method 4 CS/CB, Noncoherent JT CS/CB, JT CS/CB, Soft Information JR CS/CB, JR 9 Method 5 CS/CB, JT CS/CB, JR 5G Transport and RAN KPI Tradeoff Dimensioning TBD 10 5G Transport Network - UDN Fiber Rich within 1 km² vBBUs locally to cap FH capacity locally Easier to meet 5G RAN KPIs Packet DAS option Less Constraint on Transport Network Topology Transport Layers depending on Traffic Load Bullet Train Highly Reliable QoE cBBU vBBU Aggregation RRUs 1km vBBU Packet WDM 11 5G Transport Network – Low Latency vBBU at C-BBU site (FH Fiber 100us latency) meet E-2E 1ms latency Overlay over C-RAN topology with 5G RRU densification Transport Network Topology limited by Fiber Routes Transport Layers depending on Traffic Load 1 Bullet Train Highly Reliable QoE cBBU vBBU Aggregation RRUs Packet WDM 12 5G Transport Network – Dense M2M Network vBBU may be locally due to dense devices & smaller cells IoT Gateways needed to aggregate dense IoT devices to RRU Transport Network Topology may be limited by Fiber Routes Transport Layers depending on Traffic Load Bullet Train QoE Highly Reliable cBBU vBBU Aggregation RRUs IoT GW vBBU vBBU Packet WDM 13 5G Transport Network – 500+km/hour 5G network as WiFi backhaul mmWave frequency Backhaul for high speed train and Broadband service 1G to 10Gbps Backhaul speed Bullet Train Highly Reliable QoE • • 1G-10Gbps backhaul WiFi Service 14 5G Transport Network – Highly Reliable Redundant vBBUs are the Norm Ring or Redundant Paths at the core Fronthaul network RRU-vBBU Switching Bullet Train QoE Highly Reliable Dual Node Interworking across two Rings at the optical layer Multi-Chassis LAG across two Rings at the packet layer Sub-50ms protection at the Optical Layer Sub-50ms protection at the Packet Layer vBBU cBBU vBBU Aggregation RRUs Packet WDM 15 5G Transport Network – QoE Massive Network MIMO raises the throughput effectively Massive MIMO on the RRU can be distributed to achieve it Similar to Outdoor Packet DAS Model Digital RF over Ethernet from Distributed Antenna to RRU Bullet Train QoE Highly Reliable cBBU vBBU Aggregatio RRUs Distributed Antenna vBBU Packet WDM 16 5G Transport Network – Network Slicing Radio Frames ID visibility under SON Server Guidance Slices are assigned to V-LANs and Groups Each Slice can traverse different FH path Ethernet BH RoE FH Each Slice can traverse different BH path vBBU Protection Switching based on Each Slice User/App ID Resource Blocks Scheduler User/App ID V-LANs Scheduler User/App ID RoE ID/V-LANs Scheduler 17 vEPC V-RAN New Gen. RRU and BBU will support L1 to L3 functional split options symmetrically & asymmetrical upon demand RRU may home to different vBBU and some RRU may be shutdown during off hour especially indoor Fronthaul Network will adapt to topology change and bandwidth demand dynamically upon SDN control SON Server SDN SDN VIrtuora Controller Programmable Functional Split Asymmetric L3 ProgrammableL2 Fronthaul U-plane Network L2 Programmable Scheduling Functional Split Fronthaul L1 Asymmetric Network Phy L1 RRUs vBBU FFT FR Software Defined Radio Disaggregated/Virtualized RAN vPGW-C vMME vSGW Disaggregated/Virtualized EPC vPGW-D Content Caching Mobile Edge Services MME PCRF EPC Control Functions 18 PGW Centralized EPC Radio over Ethernet From TDM to Statistical Multiplexing – Agnostic to Air I/F Technology – Low Delay & Jitter – Higher Time Sync Accuracy – (1588v2 ns time accuracy) – IEEE 8021.CM Profiles based on the following standards – IEEE or MEF 5G Ethernet Certification (TBD) UE Data UE Data C&M UE Data C&M C&M Synchronization Synchronization Frames Synchronization Frames Frames CPRIoE Framer/Mapper RFoE RoE Architecture & Requirements Now merged into IEEE 1914 RRH/BBU Partitioning Analysis IEEE 1914 NGFI 802.1ASbt Precise Timing Protocol Gen 2 (gPTP Gen 2) 802.1Qbu Preemption (collaborating w/ 802.3br Interspersing Express Traffic) 802.1Qbv Time Aware Shaper (TAS) ─ Scheduled Traffic 802.1Qca Shortest Path Control & Reservations 802.1CB Frame Replication & Elimination 802.1Qcc Stream Reservation Protocol Gen 1.1 High Time Sync Accuracy Time Sensitive Networking IEEE 802.1CM Profile for RoE Fujitsu Proprietary and Confidential All Rights Reserved, ©2015 Fujitsu Network 19 Communications
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