Name
Abstract | ||
|---|---|---|
Mobile networks are the largest contributor to the carbon footprint of the telecom sector and their contribution is expected to rapidly increase in the future due to the foreseen traffic growth. Therefore, there is an increasing urgency in the definition of green mobile network deployment strategies. This paper proposes a four-step design and power assessment methodology for mobile networks, taking into consideration both radio and transport segments. A number of mobile network deployment architectures for urban residential areas based on different radio (i.e., macro base station, distributed indoor radio, femto cell) and transport (i.e., microwave, copper, optical fiber) technologies are proposed and evaluated to identify the most energy efficient solution. The results show that with low traffic the conventional macro base station deployment with microwave based backhaul is the best option. However, with higher traffic values heterogeneous networks with macro base stations and indoor small cells are more energy efficient. The best small cell solution highly depends on the transport network architecture. In particular, our results show that a femto cell based deployment with optical fiber backhaul is the most energy efficient, even if a distributed indoor radio architecture (DRA) deployment with fiber fronthaul is also a competitive approach. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/JSAC.2016.2544599 | IEEE Journal on Selected Areas in Communications |
Keywords | Field | DocType |
Mobile communication,Mobile computing,Radio networks,Buildings,Antennas,Computer architecture,Power demand | Radio resource management,Remote radio head,Femtocell,Backhaul (telecommunications),Computer science,Public land mobile network,Computer network,Small cell,Cellular network,Radio access network | Journal |
Volume | Issue | ISSN |
34 | 4 | 0733-8716 |
Citations | PageRank | References |
2 | 0.36 | 13 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Fiorani, M. | 1 | 4 | 1.09 |
| Sibel Tombaz | 2 | 123 | 10.77 |
| f s farias | 3 | 8 | 2.10 |
| lena wosinska | 4 | 442 | 49.88 |
| Paolo Monti | 5 | 135 | 15.94 |