@inproceedings{
  author = {F. Monsees and Y. Lang and D. W\"{u}bben and A. Dekorsy},
  year = {2010},
  month = {Aug},
  title = {Power Allocation for Adaptive Asymmetric Distributed MIMO Networks},
  address={Kaunas, Lithuania},
  abstract={Distributed MIMO network topology is one of the most promising technologies
in modern communication networks. Compared to classical Single Input Single
Output (SISO) links, where information is broadcasted from one sender over huge
distances, the distance between two points in multi-hop networks is rather small. By
means of such relay networks it becomes possible to guarantee a constant throughput
while meeting a given end-to-end (e2e) outage constraint over extensive areas. In each
hop several relay nodes form a virtual antenna array (VAA). By using this concept,
capacity improving techniques like distributed space time codes can be implemented
[Doh03]. The possibility of allocating recourses like transmit power is much more
complex in distributed networks than in SISO links. The goal of power optimization
in relay networks is to minimize the total transmit power while meeting a given e2e
outage constraint. However, in practical scenarios, the structure of a relaying network
does not have to follow certain geometrical regularities but can be arranged asymmetrically.
As a consequence of that, the closed form expression of power allocation for
asymmetric networks is intricate. In this paper the performance of power allocation for
an adaptive asymmetric distributed relay networks is analyzed. The significant power
saving compared to a non adaptive network is demonstrated by numerical calculations.
},
  booktitle={4th Baltic Conference “Learning in Networks\"}
}