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Green-Aware Network: Keynote Speech for NEST-UI


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Some approaches for Green ICT. The speech discusses mainly on cognitive-radio with green-context awareness.

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Green-Aware Network: Keynote Speech for NEST-UI

  1. 1. IEEE Indonesia SectionChair Keynote Speech National Electrical Engineering Seminar (NEST) Universitas Indonesia Jakarta 12 September 2013
  2. 2. Mission statement • IEEE's core purpose is to foster technological innovation and excellence for the benefit of humanity. Vision statement • IEEE will be essential to the global technical community and to technical professionals everywhere, and be universally recognized for the contributions of technology and of technical professionals in improving global conditions. IEEE is the world's largest professional association dedicated to advancing technological innovation and excellence for the benefit of humanity. IEEE and its members inspire a global community through IEEE's highly cited publications, conferences, technology standards, and professional and educational activities.
  3. 3. IEEE has more than 425,000 members in more than 160 countries, more than 50 percent of whom are from outside the United States; more than 116,000 Student members; 333 Sections in 10 geographic regions worldwide; 2,195Chapters that unite local members with similar technical interests; 2,354 student branches at colleges and universities; 800 student branch chapters of IEEE technical societies; IEEE has 38 Societies and 7 technical Councils representing the wide range of IEEE technical interests; has more than 3 million documents in the IEEE Xplore Digital Library, with more than 8 million downloads each month; has more than 1,400 standards and projects under development; publishes more than 148 transactions, journals, and magazines; sponsors more than 1,300 conferences in 80 countries while: partnering with more than 1,000 non-IEEE entities globally; attracting more than 400,000 conference attendees; publishing more than 1,200 conference proceedings via IEEE Xplore.
  4. 4. Reducing the negative impact of ICT to environment Reengineering the ICT to ensure sustainability ICT to improve the quality of the environment
  5. 5. Make solar energy economical Provide energy from fusion Develop carbon sequestration methods Manage the nitrogen cycle Provide access to clean water Restore and improve urban infrastructure Advance health informatics Engineer better medicines Reverse-engineer the brain Prevent nuclear terror Secure cyberspace Enhance virtual reality Advance personalized learning Engineer the tools of scientific discovery
  6. 6. Cloud Computing •Software, hardware, applications, services, delivery, etc. related to cloud and big data technologies Green ICT •The overall science and technology, practices, services, and applications behind sustainable, environmentally friendly computing & communications Electric Vehicles •Realising transportation electrification Internet of Things •Adaptive complex system made out of networks of sensors and smart objects to interconnect all things, including everyday and industrial objects in such a way to make them intelligent, programmable and more capable of interacting with humans Life Sciences •The intersection of the life sciences with electrical engineering, computer engineering, computer sciences, physics and mathematics; Smart Grid •The next- generation electrical power system that is typified by the increased use of communications and information technology in the generation, delivery and consumption of electrical energy.
  7. 7. • IEEETechnical SubCommittee on Green Communications & Computing (TSC-GCC) Predecessor • SIG on Green Cellular Networks • SIG on Green Smart Grid Communications • SIG on Green Data Center and Cloud Computing • SIG on Green Cognitive Communications and Computing Networks • SIG on Energy Harvesting Communications Special Interest Group
  8. 8. • SIGGCCCN SIG • To improve the energy efficiency of cognitive communications and computing networks. Motivation and Focus • To establish a foundation for energy-efficient cognitive communications and computing network design with multiple objectives, such as high energy and spectrum efficiency, fairness, simplicity, robust convergence, and scalability. Goal
  9. 9. The current policies of spectrum block result in inefficiency of spectrum usage. In some block, the spectra are saturated, whereas other bands are underused.The improvement will need a flexible yet regulated use of spectrum band. Mobile and multi-device lifestyle currently requires multi-band and multi-platform wireless technology, which should be simplified and/or future-enhanced with software- defined wireless technology. Context-aware service and applications could be improved with cross-layer optimization including the flexible use of spectrum.
  10. 10. Device Cognitive Radio Generic TX / RX Most-Effective (or Any Available Spectrum)
  11. 11. SWITCH Multi-core IP Part Parameter Control Part FILTE R AMP AMP FILTE R FILTE R A | D D | A Interfaces Part Full Reconfigurable Part MIXER Multiband Synthesizer Multiband Clock Tunable Multiband Antenna Cognitive Radio Baseband Signal Processor Adaptive gain-controlled amplifier Tunable filter or band selection RF filter Broadbandup- conversion mixer Tunable filter or band selection RF filter Adaptive gain-controlled amplifier Broadband down- conversion mixer Tunable & selectable baseband / IF filter
  12. 12. SystemA System B SystemC SystemA System B SystemC SystemA System B SystemC Heterogeneous-typeCognitive Radio Spectrum Sharing type Cognitive Radio
  13. 13. CTM CNM RAN Oper ator RAT Cross- Network Signalling Heterogeneous type cognitive radio selects optimal radio access networks (RAN) or operators and radio access technologies (RAT) based on collaboration between cognitive terminal manager (CTM/TRM) and cognitive network managers (CNM/NRM) via cross-network signalling.
  14. 14. 3G 4G WiMAX WiMAX II (806.16m) WiFi (802.11n) WiFi NG DSA-enabled Radios Network Management Legacy terminal 1900.4 Terminal 1900.4 Terminal IEEE 1900.4 Network reconfiguratio n management Terminal reconfiguratio n management Terminal reconfiguratio n management Metropolitan Short-RangeCellular
  15. 15. Reconfigurable Radio Platform TX RX Policies, Rules, etc Decision Database Learning & Reasoning Sensing Radio Environment , User Behaviour, Device State, etc
  16. 16. RAN Context Information • RAN radio resource optimisation objectives • RAN radio capabilities • RAN measurements • RAN transport capabilities Terminal Context Information • User preferences • Required QoS levels • Terminal capabilities • Terminal measurements • Terminal geo-location information • Geo-location-based terminal measurements
  17. 17. RAN Context Information • Economic & nature- friendly resource information • Energy-efficient optmisation • Sensor-guided node selection Terminal Context Information • Nature-optimised user & application behaviour • Device state, optimised for green behaviour • Energy-efficient service & applications
  18. 18. Network architecture design for energy efficient cognitive networks Energy-efficient spectrum sensing techniques for cognitive networks. Economic models and game theory for energy efficient cognitive networks Energy-efficient physical (PHY) layer design of cognitive networks Energy-efficient medium access control (MAC) for cognitive networks Cross-layer optimization for energy- efficient cognitive networks Cooperative techniques for energy-efficient cognitive networks Energy-efficient resource management for cognitive networks Multiuser/single-user MIMO techniques for energy-efficient cognitive networks Signal processing challenges for energy- efficient cognitive networks Energy-efficiency evaluation and measuring techniques for cognitive networks.
  19. 19. Device Seller 3rd Party Context Enabler Context Provider Service Platform Provider Content Provider User Network Provider Service Provider Platform Provider Context Platform Context Data Context Data Context Data Context Context-Aware Services
  20. 20. User User Context Profile, Preferences, Interests, Mood, Activities, Agenda NetworkOperator Computing Context Connectivity, Device, Device capability, Bandwidth User Context Location information Third Party Context Enabler Physical Context Weather,Traffic, Illumination, Socmed Info
  21. 21. Usage Logs RFID, Implant Sensors Software agents Affective computing Nanotechnology Biometrics
  22. 22. The next step for a green ICT needs a convergence of networks, service, application, and user behaviour, optimised for a green lifestyle. Cognitive radio & context awareness need a deeper research & implementation for a green-aware network & services. Other elements should be integrated to the convergent platform: Industrial, machine-to-machine communications Sensor network & context information network Cloud computing Smart grid
  23. 23. @IEEEorg @IEEEIndonesia
  24. 24. Kuncoro Wastuwibowo is an IEEE Senior Member. This year, he is the Chairman of the IEEE Indonesia Section, also the Past Chair of the IEEE Communications Society Indonesia Chapter. He works with Telkom Indonesia, to develop technical and business aspects of education and government products with ecosystem approaches at Division of Solution Convergence (DSC). He is one of the co-editors of Internetworking Indonesia: a journal focused on technical and social aspects of ICT development in Indonesia. He is also a Member of the IET and ACM. Web : Tweet : @kuncoro