Name
Abstract | ||
|---|---|---|
Given the explosive growth of mobile subscribers, network operators have to densely deploy base stations to serve the exponentially increasing access demands. Nevertheless, recent researches have pointed out that base station operation has been identified as a significant portion of total system energy consumption and 90% of the traffic is carried by only 40% of base stations even under peak traffic demand. Therefore, switching off underutilized base stations for saving power is an important issue with the increasing awareness of environmental responsibility and economical concerns of network operators. This paper targets the problem of dynamic base station operation, with an objective to minimize total power consumption of all base stations. We prove this problem is NP-hard and cannot be approximated in polynomial time with a ratio better than 3/2. Then, we propose a distributed algorithm to tackle it. The simulation results show that our proposed algorithm can significantly reduce the network power consumption. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1109/GLOCOM.2012.6503945 | GLOBECOM |
Keywords | Field | DocType |
distributed algorithms,decentralized energy-efficient base station operation,distributed algorithm,cellular radio,np-hard problem,base station operation,underutilized base stations,telecommunication power management,polynomial time,energy efficiency,computational complexity,dynamic base station operation,mobile subscribers,peak traffic demand,green cellular networks,telecommunication traffic,total system energy consumption,cellular networks,network power consumption | Base station,Computer science,Computer network,Distributed algorithm,Cellular network,Operator (computer programming),Distributed generation,Time complexity,Energy consumption,Power consumption | Conference |
ISSN | ISBN | Citations |
1930-529X E-ISBN : 978-1-4673-0919-6 | 978-1-4673-0919-6 | 11 |
PageRank | References | Authors |
0.68 | 7 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Wei-Te Wong | 1 | 12 | 1.04 |
| Ya-Ju Yu | 2 | 70 | 7.70 |
| Ai-Chun Pang | 3 | 621 | 66.26 |