Network Intelligentizing for Future 6G Networks

How AI will Enable Network Intelligentizing?

Vision for Future Communications Summit, Lisbon, November 2019 Md Arifur Rahman, PhD Network Intelligentizing for Future 6G Wireless Networks

Part I A Network Intelligentizing Aspects on Future 6G Networks What will be the future 6G network?

Smart connectivity of future 6G networks ❑ Remote radio heads (RRH) ❑ Drones ❑ Visible light communications (VLC) ❑ Base stations (BSs) ❑ Network equipments mounted on moving things e.g., autonomous smart vehicles Network architecture of future 6G ❑ Cell-free smart surfaces with ultra-high frequencies ❑ Temporary hotspots served by drone mounted BSs *The future 6G network architecture which will cover ❑ Network in a spray i.e., Air- everywhere with 6G connections. duct/Water-duct ❑ Using cars as fog/edge devices *Source: https://www.rfwireless-world.com/Terminology/ ❑ Water duct communications The Vision of AI in Future 6G Networks

• Wisdom connection in Edge AI Intelligent AC the network connectivity (IC) enabler • AI-assisted massive connectivity

• Deep sensing for cloud, AI for wireless Deep DC edge, and computing networks Requirements connectivity (DC) enabler devices • Deep learning (AI) Future 6G Technology for 6G networks enablers • Ubiquitous connection to cover space, air, AI-empowered Ubiquitous UC ground, and sea applications connectivity (UC) enabler • Ubiquitous intelligence for LIS

• Seamless coverage Self-definable Holographic HC anywhere using AR/VR networks connectivity (HC) enabler • Holographic radio for PHY layer Network Intelligentizing Aspects on Future 6G Networks

● On-device distributed learning ● Deep learning concept The wave of AI ● AI solutions in wireless networks ● Big-data era is coming ● Increasing of computing power

● Communications Network Network entities ● Content caching intelligentizing for AI-based ● Computing capabilities aspects on future 6G applications networks ● Wireless power transfer ● Flexible, adaptive, and intelligent solutions

● Planning and design ● Operation and management of the networks AI-assisted ● Measurement and monitoring network functionalities ● Radio resource management (RRM) ● Security enhancement Challenges on the Wireless Communication Industry [1/2]

Part II B AI enabled network revolution Challenges on the Wireless Communication Industry [1/2]

Smart logistics Smart shopping Futurenetworks 6G

Agriculture Healthcare

Automotive Smart shopping vehicles

Disaster Smart city recovery

Smart home Industrial IoT Massive growth of devices Massive growth of data In 2020, global IoT devices will grew to 50 billion, 6 times ● In 2020, 35 EB per month data traffic will be more than the device in 2011. generated as a mobile data traffic ● In 2020, global data amount will increase upto 40 ZB and it is 50 times more than in 2011 *Source: Comp TIA, CISCO Challenges on the Wireless Communication Industry [2/2]

● Tactile/Haptic internet ● Enhanced ● Wireless World Wide Web ● Fully automated driving ● Voice, Data, & Video ● Interoperability protocol ● High speed, high capacity ● Industrial internet ● Video Telephony ● High speed and IP-based ● Large broadcasting of data ● Digital sensing and reality ● Internet surfing ● , Mobile IP ● 3G, W-CDMA, UMTS in GbPs ● Distributed intelligence

3G (2000) 4G (2010) (2020) 6G (2030)

Traditional Network softwarization network architecture

● Data plane and control plane ● Separation of control and data planes are not separated (SDN) ● No programmability ● Network function virtualization (NFV) ● Global picture unavailability ● Cloudification Importance of intelligentizing the future 6G networks

❑ Influence advanced wireless communications and mobile computing technologies ❑ Enable AI-enabled applications at different edge devices of the networks with limited computational capability and energy resources ❑ Scaling up distributed training and inference over the cloud, network edge, and end devices ❑ AI-enabled security enhancement ❑ AI could adaptively adjust and optimize the networks ❑ Realize fully end-to-end automated network architecture

Network Intelligentizing

Flexibility Large Self- Distributed and sustainability intelligent adaptability intelligence surface (LIS) Roadmap on network intelligentizing

Part III C Roadmap on network intelligentizing Potential of AI in Future 6G networks

Core network Internet/Cloud User equipment RAT Radio Access Network

Small cell Cellular Licensed band (4G, 5G, and 6G) (MHz, THz) vRAN/C-RAN 6G AI Core AI-based cloudification 802.11ax (NG-WiFi), High performance 802.11ay (WiGi2) Shared computing Indoor RRH MEC server

Outdoor RRH ISM, Other non-cellular mmWave 6G AI RAN

Large-scale intelligent surface

AI for radio access network optimization ● AI-assisted PHY layer ● AI for network/MAC radio resource management

AI for Operation and management of the networks ● Network design and planning ● Critical network management Application of AI in future 6G networks

AI for PHY layer AI for operation and management ● Signal detection, classification, and ● Dynamic network orchestration compression ● Dynamic slice management ● Channel encoding and decoding ● Control and policy enforcement ● AI-assisted positioning, sensing, and ● Critical network management localization ● Measurement and monitoring ● Channel estimation and equalization AI applications in ● Security enhancement ● AI compatible edge devices future 6G Networks

AI for MAC layer RRM AI for higher layer RRM ● User clustering for cell-free smart surfaces ● AI-assisted brokering mechanism for RAN with ultra-high frequencies slicing ● Dynamic scheduling of resources ● Slice admission control ● Adaptive power control ● Slice scheduling ● Interference management ● Handover management ● Mobility management Open question: How AI will enable network intelligentizing?

❑ AI will enable network intelligentizing based on the following aspects: ❑ Real-time conversations amongst the network entities ❑ Combination of AI-designed underlying network topologies and AI-driven SDN ❑ Intelligent operation and management of the networks ❑ AI in RAN to optimize the network resources ❑ AI-based mobile applications ❑ Intelligent wireless communication ❑ Proactive maintenance Contact details

Md Arifur Rahman Phone +48 22 123 8297 [email protected] IS-Wireless, Mobile: +48 663 268 958 ul. Puławska 45b www.is-wireless.com 05-500 Piaseczno / near Warsaw Poland [email protected]