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Reducing Energy Consumption Through Adaptation of Number of Active Radio Units

Reducing Energy Consumption Through Adaptation of Number of Active Radio Units. Nourah Alhassoun April 4, 2012. Part I. Objectiv e :

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Reducing Energy Consumption Through Adaptation of Number of Active Radio Units

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  1. Reducing Energy Consumption Through Adaptation of Number of Active Radio Units Nourah Alhassoun April 4, 2012

  2. Part I Objective: • Evaluating an approach where the number of active radio units needed for handling the traffic is varied based on the traffic load in order to reduce energy consumption Results: • Adaptive activation of radio unites can significantly enhance energy efficiency in mobile networks i.e. energy saving around 50% is achievable

  3. Part II I. Energy Consumption Model of a Typical RBS II. Radio Unit Activation Scheme III. Simulation and Scenario Assumptions IV. Results of Energy Savings Gains

  4. I. Energy Consumption Model of a Typical RBS • Relative power consumption of different components of RBS as a function of load • Each RBS has three sectors with one RU per sector

  5. RBS Deployment Two Different deployments for the RBSs, where each sector serves a cell using either: • Two RUs with a maximum transmission power of 20 W per RU, “2x20 W configuration” • Four RUs with a maximum transmission power of 10 W per RU, “4x10 W configuration” • Each RU is connected to a physical antenna and has a maximum output power 10W or 20W • Energy consumption of RUs increases linearly with the output power

  6. II. Radio Unit Activation Scheme Load-Based • For 2x20 W configuration, there can be either 1 or 2 RUs active • For 1x40 W configuration, there can be either 1-4 active RUs • The number of Active RUs depends on the load applied on the sector Psec,Outis the sector output power PRU,Maxis the maximum RU output power • Power is equally distributed among the active RUs

  7. Example of Number of Active RUs as Function of Output Power • All RUs are active at all times: “Energy Saving Off” • RUs are activated as a function of load: “Energy Saving On” Using 4x10 W deployment: results in two active RUs Using 2x20 W deployment: results in one active RU

  8. IV. Simulation Model and Scenario Simulation Model: • LTE network simulator is used • Series of simulations where the offered load varied and the sector output power has been monitored • For given offered load, the corresponding sector output power was derived and then the number of needed active RUs and the load of each RU was calculated Traffic Scenario: • Real traffic data of both packet switched and circuit switched data at RNC level over 15 minutes interval • The Throughput is higher during the day and it is lower during the night

  9. IV. Continue Traffic Scenario Cumulative Distribution of Cells’ throughput in the network: • More than 81% of the cases the cells had a throughput less than 2Mbps • This implying significant potential for saving energy by adapting the number of RUs to the prevailing local load situation in each cell

  10. Part IIIV. Simulation Results A. RBS Configuration 4x10W • Total Power Efficiency of the network when: • Energy Saving Off: 7.4mW/m2 • Energy Saving On: 3.2mW/m2

  11. A. RBS Configuration 4x10W • RBS energy consumption when: • Energy Saving Off: 620 W and 2821W • Energy Saving On: 224 W and 1610 W

  12. B. RBS Configuration 2x20W • Total Power Efficiency of the network when: • Energy Saving Off: 4.4mW/m2 • Energy Saving On: 3.1mW/m2 • RBS energy consumption when: • Energy Saving Off: 400 W and 1444W • Energy Saving On: 224 W and 1003 W

  13. C. Traffic Sensitivity Analysis • Traffic load increases over time and network is populated with increasing number of users • Load is varied between 10% up to 1500% of the measured traffic load • The energy gain when applying adaptive RU activations: • The saving decreases from 56% to 5% in 4x10W configuration • The saving decreases from 30% to 3% in 2x20 W configuration

  14. Energy consumed does not change for up to 300% load • The gain becomes very small when the load is above 800% of the measured load

  15. Conclusion • Evaluating the potential of a method where the number of active RUs are varied depending on the load by using traffic measurements from 3G network • The gain is about 50% for RBSs having 4 RUs per sector, each have a maximum transmission power of 10 W • The gain is about 30% for RBSs having 2 RUs per sector, each have a maximum transmission power of 20 W

  16. Reference Hedayati, M. Amirijoo, M. Frenger, P. Moe, J. 2011. “Reducing Energy Consumption Through Adaptation of Number of active Radio Units”. IEEE Vehicular Technology Conference 73rd.

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