Se ha denunciado esta presentación.
Utilizamos tu perfil de LinkedIn y tus datos de actividad para personalizar los anuncios y mostrarte publicidad más relevante. Puedes cambiar tus preferencias de publicidad en cualquier momento.

Presentation networldm2m sinem_coleriergen_v5

Next generation 5G wireless solutions need to meet the anticipated demands of Machine-to-Machine (M2M) communications in the 2020 era with the total number of devices expected to be about 50 billion for a projected population of around 8 billion according to an Ericsson report. M2M applications can be classified into two categories: Low-cost wide-area and low-latency ultra-reliable M2M. Low-cost wide-area M2M communication requires simple hardware architecture, integration of significant energy efficiency methods and energy harvesting technologies, and enhanced coverage, for such applications as smart metering, fire alarms, sensor networks. Despite LTE enhancements proposed for this class of M2M, however, LTE is not expected to be dominantly used in the near future due to its low coverage and high cost equipment, according to Cisco VNI Mobile, 2015. More research is needed to natively include this M2M class in 5G networks. On the other hand, low-latency ultra-reliable M2M communication requires satisfying strict delay constraint and ultra-high reliability of such applications as platooning of vehicles, robotic control and interaction, remote health care. Controlling the elements in our environment based on the data provided from these machines in this class of M2M applications requires a paradigm shift for control and communication systems with novel strategies for their joint design in beyond 5G networks.

  • Inicia sesión para ver los comentarios

Presentation networldm2m sinem_coleriergen_v5

  1. 1. Machine-to-Machine Communications: Beyond 5G Sinem Coleri Ergen Wireless Networks Laboratory, Electrical and Electronics Engineering, Koc University 29/6/2015 Joint Expert Group and Vision Group Workshop - EUCnC
  2. 2. Evolution in Telecom Industry into Future Huawei Technologies, Wireless World Research Forum, 2011 Data rate
  3. 3. Alternatives for M2M Communications Wired: Cable, xDSL, optical •  High reliability •  High rate •  Small delay •  Not cost effective •  Lack of scalability •  Lack of mobility Wireless capillary: WLAN, Zigbee, IEEE 802.15.4x •  Less expensive •  Generally scalable •  Low power •  Weak security •  Interference •  Lack of universal infrastructure Cellular: 2G, 3G, 4G, 5G •  Ubiquitous coverage •  Mobility •  Roaming •  Security
  4. 4. 4G Extensions for M2M LTE-Release 11 •  Overload control •  Use Extended Access Barring in overload LTE-Release 12 •  New lower device category: Cat-0 •  Complexity reduction •  Elementary power savings LTE-Release 13 •  LTE MTC: Further reduced category •  New, simpler device •  Significant power savings •  Enhanced coverage
  5. 5. Global M2M Mobile Devices q  2G currently preferred q  Lower device cost q  Greater geographic coverage q  Longer battery lifetime than 3G and 4G q  Low data rate q  Low Power Wide Area (LPWA) q  High coverage q  Very low cost connectivity q  Very low data rate q  Long battery life q  Neul, Sigfox, OnRamp Coverage and cost of LTE MTC not enough Source: Cisco VNI Mobile, 2015.
  6. 6. NGM 5G M2M Use Cases Low-cost Wide Area M2M Low data rate: 1-1000kbps High Energy Efficiency: up to 15 year lifetime High Density: up to 200,000/ km^2 Low-latency Ultra-Reliable M2M Low data rate: DL: From 50kbps to 10Mpbs UL: From a few bps to 10Mpbs Low E2E latency: <1ms High reliability: >99.999% 4G and Beyond 5G and Beyond
  7. 7. M2M: 5G and Beyond Low-cost Wide-area M2M •  Goals •  Decrease cost •  Decrease power consumption •  Increase coverage •  Provide scalability •  Research •  Simpler hardware architecture •  Novel waveform design •  UFMC, GFDM, SC, tunable OFDM •  Energy harvesting •  Vibration, light, wireless energy harvesting •  Novel delay tolerant reliable access mechanisms Low-latency Ultra-reliable M2M •  Goals •  Strict delay constraint •  Ultra-high reliability •  Short packet size •  Low/medium power consumption •  Research •  Novel waveform design •  Novel delay and reliability constrained access mechanisms •  Short packet transmission •  Model interaction of communication and control systems
  8. 8. M2M: 5G and Beyond Low-cost Wide-area M2M •  Goals •  Decrease cost •  Decrease power consumption •  Increase coverage •  Provide scalability •  Research •  Simpler hardware architecture •  Novel waveform design •  UFMC, GFDM, SC, tunable OFDM •  Energy harvesting •  Vibration, light, wireless energy harvesting •  Novel delay tolerant reliable access mechanisms Low-latency Ultra-reliable M2M •  Goals •  Strict delay constraint •  Ultra-high reliability •  Short packet size •  Low/medium power consumption •  Research •  Novel waveform design •  Novel delay and reliability constrained access mechanisms •  Short packet transmission •  Model interaction of communication and control systems
  9. 9. Cyber-Physical Systems q  Sensors, actuators and controllers connect through a wireless network
  10. 10. Joint Optimization of Communication and Control Systems Wireless Communication Non-zero packet error probability •  Unreliability of wireless transmissions Non-zero delay •  Packet transmission and shared wireless medium Sampling and quantization errors •  Signals transmitted via packets Limited battery resources Control System Stringent requirements on timing and reliability Smaller packet error probability, delay and sampling period Better control system performance More energy consumed in wireless communication Smaller packet error probability, delay and sampling period Better control system performance More energy consumed in wireless communication Y. Sadi, S. C. Ergen and P. Park, "Minimum Energy Data Transmission for Wireless Networked Control Systems", IEEE Transactions on Wireless Communications, vol. 13, no. 4, pp. 2163-2175, April 2014. Y. Sadi and S. C. Ergen, "Joint Optimization of Communication and Controller Components of Wireless Networked Control Systems", IEEE ICC, June 2015.
  11. 11. Ultra-Reliable Delivery of Periodic Sensor Packets EDF Uniform
  12. 12. Ultra-Reliable Delivery of Periodic Sensor Packets EDF Uniform !" !# !$ !%!" !# "&! "&! '(#&! '()&! '(#&!'("&! '($&!'("&! !# '(#&!
  13. 13. Ultra-Reliable Delivery of Periodic Sensor Packets Uniform distribution minimize max subframe active time € ≡ EDF Uniform max active time=0.9ms max active time=0.6ms ✓ Y. Sadi and S. C. Ergen, "Energy and Delay Constrained Maximum Adaptive Schedule for Wireless Networked Control Systems", accepted to IEEE Transactions on Wireless Communications. Y. Sadi and S. C. Ergen, “Optimal Power Control, Rate Adaptation and Scheduling for UWB-Based Intra-Vehicular Wireless Sensor Networks”, IEEE Transactions on Vehicular Technology, vol. 62, no. 1, pp. 219-234, January 2013.
  14. 14. Past and Current Projects Intra-Vehicular Wireless Sensor Networks • Supported by Marie Curie Reintegration Grant Energy Efficient Robust Communication Network Design for Wireless Networked Control Systems • Supported by TUBITAK (The Scientific and Technological Research Council of Turkey) Energy Efficient Machine-to-Machine Communications • Supported by Turk Telekom Cross-layer Epidemic Protocols for Inter-vehicular Communication Networks • Supported by Turk Telekom RSSI Fingerprinting based Mobile Phone Localization with Route Constraints • Supported by UC Berkeley Intra Vehicular Sensor Networks • Supported by TOFAŞ
  15. 15. People Director •  Sinem Coleri Ergen Ph.D. Students •  Yalcin Sadi | Seyhan Ucar | Elif Dilek Salik | Merve Saimler | Ali Vosoughi | Adil Abbas | Melih Karaman | Bugra Turan M.S. Students •  Anique Akhtar | Bakhtiyar Farayev Alumni •  Mehmet Kontik | Utku Demir | Umit Bas | Nabeel Akhtar | Irem Nizamoglu
  16. 16. Thank You! Sinem Coleri Ergen: sergen@ku.edu.tr Personal webpage: http://home.ku.edu.tr/~sergen Wireless Networks Laboratory: http://wnl.ku.edu.tr

×