A Novel Resource Allocation Strategy for Distributed MIMO Multi-hop Multi-commodity Communications

Autoren:

Y. Lang, C. Bockelmann, D. Wübben, A. Dekorsy, M. Söllner

Kurzfassung:

In this paper, we present a near-optimum resource allocation strategy for distributed multiple-input-multiple-output multiple hops multiple commodities OFDMA wireless networks. The novel per-hop-optimization strategy aims to reduce the total transmission power of the network while meeting the individual end-to-end outage probability constraint of each commodity, i.e. for each link of the network. It utilizes the Greedy edge-coloring algorithm to determine reused orthogonal subbands for overlapping hops and allows a distributed implementation per hop. In comparison to other bandwidth allocation strategies like equal or dynamic bandwidth for each commodity, our Per-Hop-Bandwidth-Allocation (PHBA) approach uses the bandwidth in a near-optimum way and reduces the total transmission power significantly.

Dokumenttyp:

Konferenzbeitrag

Veröffentlichung:

Darmstadt, Deutschland, 26. - 27. Februar 2008

Konferenz:

International ITG Workshop on Smart Antennas (WSA 08)

Dateien:

Paper