BLI Research on Small Cells<br />Imran Ashraf<br />April 2010<br />Davide CherubiniBell Labs Ireland<br />Networks & Netwo...
Spectrally Efficient Cellular Networks<br /><ul><li>Heterogeneous network deployment</li></ul>Femtocell overlay on the GSM...
Green Cellular Networks<br />Total Consumption = 12 W<br />Total Consumption = 7.3 W<br />Power Amplifier(2 Watts)<br />Po...
Network energy consumption increases in dependency of the scale of small cell  deployment
Energy-Efficient algorithms for small cells</li></ul>Coverage-aware Switch-offs<br />Detect existing spatial coverage and ...
Network Power Savings using Sleep Modes<br />Network energy consumptionfor operator with 40% market share (Future improved...
Future - Autonomous Networks<br />UE<br />UE<br />UE<br />Network<br />Network<br />Network<br />Now<br />Future<br />Past...
Wilson Street Project<br />Scope<br />Development of a series of small cell demos<br />http://www.wilson-street.com<br />@...
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Bell Labs Ireland research on small cells [Davide Cherubini]

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Davide Cherubini from Alcatel-Lucent Bell Labs Ireland (BLI) talks about their work on increasing energy efficiency in cellular networks through 'green radio' solutions.

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Bell Labs Ireland research on small cells [Davide Cherubini]

  1. 1. BLI Research on Small Cells<br />Imran Ashraf<br />April 2010<br />Davide CherubiniBell Labs Ireland<br />Networks & Networking Group<br />
  2. 2. Spectrally Efficient Cellular Networks<br /><ul><li>Heterogeneous network deployment</li></ul>Femtocell overlay on the GSM macrocell network<br />Localized coverage through femtocells – high data rates<br /><ul><li>Partial re-use of macrocell GSM frequencies</li></ul>Femtocells perform sensing for unused GSM spectrum by macrocells<br />The vacant spectrum is opportunistically used by femtocells with tight interference constraints on the macrocell network<br />Capacity increase for femtocells with minor impact on the macrocell network<br />2| July 2010 <br />Mbps<br />
  3. 3. Green Cellular Networks<br />Total Consumption = 12 W<br />Total Consumption = 7.3 W<br />Power Amplifier(2 Watts)<br />Power Amplifier(0 Watt)<br />Power Source (85 % efficiency)<br />Power Source (85 % efficiency)<br />Microprocessor<br />(RF On)(3.7 Watts)<br />Microprocessor (RF Off)(2.7 Watts)<br />FPGA/Other Circuitry(4.5 Watts)<br />FPGA/Other Circuitry(3.5 Watts)<br />SLEEP Mode<br />ACTIVE Mode<br /><ul><li>Use of low-power small cells to off-load macrocell traffic
  4. 4. Network energy consumption increases in dependency of the scale of small cell deployment
  5. 5. Energy-Efficient algorithms for small cells</li></ul>Coverage-aware Switch-offs<br />Detect existing spatial coverage and switch-off base stations<br />Traffic-aware Sleep modes<br />Detect UE activity via carrier sniffing and temporarily switch-off idle small cells<br />Energy consumption follows the traffic<br />3| July 2010 <br />
  6. 6. Network Power Savings using Sleep Modes<br />Network energy consumptionfor operator with 40% market share (Future improved Technologies)<br />Network energy consumption for operator with 40% market share (Today)<br />Higher macrocell efficiency<br />97% of energy costs paid by end user<br />Higher picocell efficiency<br />Picocell contribution increases linearly<br />Picocell contribution does not increase linearly anymore<br />100% of energy costs paid by operator<br />75% reduction in network power consumption<br />4| July 2010 <br />
  7. 7. Future - Autonomous Networks<br />UE<br />UE<br />UE<br />Network<br />Network<br />Network<br />Now<br />Future<br />Past<br />Ongoing research is in here<br />Objective<br />Objective<br />Model<br />Objective<br />Model<br />Objective<br />Model<br />Automated Program Generation (offline)<br />Algorithm<br />Algorithm<br />Network Planners<br />Design stage<br />measurements<br />measurements<br />measurements<br />Model<br />Automated Program Generation<br />(online)<br />Algorithm<br />measurements<br />drive testing<br />BS<br />BS<br />BS<br />BS<br />The algorithm generation process is now distributed and performed locally and continuously by the network nodes themselves. Nodes now have ability to autonomously specialise their individual behaviour according to environment.<br />Algorithms are generated using automated means, (Genetic Programming). Design process is done offline, and resulting algorithm is implemented in the network. <br />Algorithms for auto-configuration and self-optimisation are developed manually, and used to automate the network configuration and optimisation.<br />Planning and optimisation is performed manually through network planning engineers and drive testing.<br />5| July 2010 <br />
  8. 8. Wilson Street Project<br />Scope<br />Development of a series of small cell demos<br />http://www.wilson-street.com<br />@Bell Labs Ireland<br />First permanent small cells platform for research<br /><ul><li> validation on real devices
  9. 9. indoor open service cells
  10. 10. open platform
  11. 11. looking at the future!</li></ul>6| July 2010 <br />
  12. 12. WirelessLab SIG Events<br />Join WirelessLab’s Energy-Efficient Wireless Access NetworksSpecial Interest Group!<br />For further information: <br />www.wirelesslab.ie<br />Interested in further discussions onenergy-efficient wireless communications?<br />7| July 2010 <br />
  13. 13. Any Questions?<br />Thank You<br />

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