Network Intelligentizing for Future 6G Wireless 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 A Part I 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 ❑ Network in a spray i.e., Air- *The future 6G network architecture which will cover duct/Water-duct everywhere with 6G connections. ❑ Using cars as fog/edge devices ❑ Water duct communications * Source: https://www.rfwireless-world.com/Terminology/
The Vision of AI in Future 6G Networks Wisdom connection in • Intelligent AC the network Edge AI enabler AI-assisted massive connectivity (IC) • connectivity Deep sensing for cloud, • AI for wireless Deep DC edge, and computing networks connectivity (DC) enabler devices Requirements Deep learning (AI) • Future 6G Technology for 6G enablers networks Ubiquitous connection • AI-empowered Ubiquitous to cover space, air, 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 Content caching ● Network entities intelligentizing Computing capabilities for AI-based ● aspects on future 6G applications Wireless power transfer ● networks Flexible, adaptive, and intelligent solutions ● Planning and design ● Operation and management of the networks ● AI-assisted Measurement and monitoring ● network Radio resource management (RRM) ● functionalities Security enhancement ●
Challenges on the Wireless Communication Industry [1/2] B Part II AI enabled network revolution
Challenges on the Wireless Communication Industry [1/2] Smart shopping Smart logistics Future 6G networks Healthcare Agriculture Automotive Smart shopping vehicles Disaster Smart city recovery Industrial IoT Smart home Massive growth of Massive growth of data devices In 2020, 35 EB per month data traffic will be ● In 2020, global IoT devices will grew to 50 billion, 6 times generated as a mobile data traffic more than the device in 2011. 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 ● Wireless World Wide Web Enhanced 3G ● ● 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 ● ● 4G, Mobile IP ● in GbPs Distributed intelligence 3G, W-CDMA, UMTS ● ● 4G (2010) 5G (2020) 6G (2030) 3G (2000) Traditional Network softwarization network architecture ● Separation of control and data planes ● Data plane and control plane are not separated (SDN) No programmability ● Network function virtualization (NFV) ● Cloudification Global picture unavailability ● ●
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 intelligent sustainability intelligence adaptability surface (LIS)
Roadmap on network intelligentizing C Part III Roadmap on network intelligentizing
Potential of AI in Future 6G networks Internet/Cloud Core network 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 High performance 802.11ax (NG-WiFi), Shared computing 802.11ay (WiGi2) MEC server Indoor RRH Artificial intelligence 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 future 6G Networks AI compatible edge devices ● 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 a.rahman@is-wireless.com Mobile: +48 663 268 958 IS-Wireless, ul. Puławska 45b www.is-wireless.com 05-500 Piaseczno / near Warsaw info@is-wireless.com Poland
Recommend
More recommend
