Name
Abstract | ||
|---|---|---|
In wireless access networks the traffic load varies strongly along a day and efficient concepts to adapt the power consumption of LTE macro base stations to the required traffic load are currently widely under study. Significant daily energy savings up to 35% can be achieved for different deployment scenarios by introducing energy adaptive hardware features in combination with energy aware scheduling strategies. Feasibility studies have been performed for macro base stations by using system level simulations and hardware prototypes. Different scheduling strategies like bandwidth adaptation, capacity adaptation, micro discontinuous transmission and combinations of them have been evaluated. They show the potential of these energy aware approaches to optimize the power reduction in energy adaptive components as function of the traffic load. It could be demonstrated that bandwidth adaptation in combination with deactivation of components when no user data is to be transmitted have the highest potential in daily energy savings. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1109/WMNC.2014.6878872 | WMNC |
Keywords | Field | DocType |
traffic load,energy savings,scheduling,lte macro base stations,power consumption,system level simulations,energy adaptive components,hardware prototype,energy saving,bandwidth adaptation,telecommunication power management,energy adaptive hardware features,scheduling strategy,wireless access networks,energy aware scheduling strategies,microdiscontinuous transmission,long term evolution,hardware prototypes,telecommunication traffic,capacity adaptation,macro base station,power reduction,lte,transceivers,throughput,power generation | Software deployment,Wireless,Scheduling (computing),Real-time computing,Bandwidth (signal processing),Discontinuous transmission,Macro base stations,Engineering,Access network,System level | Conference |
ISSN | Citations | PageRank |
2163-4033 | 2 | 0.65 |
References | Authors | |
4 | 6 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Anton Ambrosy | 1 | 18 | 3.42 |
| Oliver Blume | 2 | 728 | 47.45 |
| Dieter Ferling | 3 | 97 | 16.30 |
| Patrick Jueschke | 4 | 2 | 1.33 |
| Michael Wilhelm | 5 | 5 | 1.16 |
| Yu Xin | 6 | 12 | 2.01 |