4th International ICST Workshop on Resource Allocation in Wireless Networks

Research Article

A Closed Power Allocation Solution for Outage Restricted Distributed MIMO Multi-hop Networks

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  • @INPROCEEDINGS{10.4108/ICST.WIOPT2008.3210,
        author={Yidong Lang and Dirk W\'{y}bben and Carsten Bockelmann and Karl-Dirk Kammeyer},
        title={A Closed Power Allocation Solution for Outage Restricted Distributed MIMO Multi-hop Networks},
        proceedings={4th International ICST Workshop on Resource Allocation in Wireless Networks},
        publisher={IEEE},
        proceedings_a={RAWNET},
        year={2008},
        month={8},
        keywords={Power allocation  QoS  distributed MIMO  outage probability  relaying},
        doi={10.4108/ICST.WIOPT2008.3210}
    }
    
  • Yidong Lang
    Dirk Wübben
    Carsten Bockelmann
    Karl-Dirk Kammeyer
    Year: 2008
    A Closed Power Allocation Solution for Outage Restricted Distributed MIMO Multi-hop Networks
    RAWNET
    IEEE
    DOI: 10.4108/ICST.WIOPT2008.3210
Yidong Lang1,*, Dirk Wübben1,*, Carsten Bockelmann1,*, Karl-Dirk Kammeyer1,*
  • 1: Department of Communications Engineering, University of Bremen, Otto-Hahn-Allee 1, 28359 Bremen, Germany.
*Contact email: lang@ant.uni-bremen.de, wuebben@ant.uni-bremen.de, bockelmann@ant.uni-bremen.de, kammeyer@ant.uni-bremen.de

Abstract

Power consumption and Quality-of-Service are the critical factors when developing resource allocation strategies for wireless networks. In order to minimize total transmission power while meeting the end-to-end outage probability requirement in a distributed MIMO multi-hop network, we will formulate the power allocation task as a convex optimization problem. By using some approximations to the optimization problem, we derive a novel near-optimal power allocation solution with lower complexity for distributed MIMO multi-hop networks. For the network with a large number of relaying nodes per virtual antenna array even a simple closed-form solution can be obtained. The simulation results show that our solution achieves a near-optimal performance.