Power allocations for adaptive distributed MIMO multi-hop networks

Authors:
Yidong Lang;Dirk Wübben;Karl-Dirk Kammeyer
Affiliations:
Department of Communications Engineering, University of Bremen, Germany;Department of Communications Engineering, University of Bremen, Germany;Department of Communications Engineering, University of Bremen, Germany
Venue:
ICC'09 Proceedings of the 2009 IEEE international conference on Communications
Year:
2009

Citing 5
Cited 0

Convex Optimization

Convex Optimization
Cooperative diversity in wireless networks: Efficient protocols and outage behavior

IEEE Transactions on Information Theory
Multihop Cellular Networks: Potential Gains, Research Challenges, and a Resource Allocation Framework

IEEE Communications Magazine
Multihop Relaying for Broadband Wireless Mesh Networks: From Theory to Practice

IEEE Communications Magazine
Wireless relays for broadband access [radio communications series]

IEEE Communications Magazine

Quantified Score

Hi-index	0.00

Visualization

Abstract

Distributed MIMO multi-hop relaying is one of the most promising technologies that permits cost-effective improvement of coverage, data rate and end-to-end (e2e) user experience by utilizing distributed low-complexity space-time codes to overcome path losses and deep fades of wireless channels. However, an efficient transmission scheme and resource management are required to exploit these advantages. Specifically, low-complexity adaptive schemes and power control strategies should be designed, thereby achieving robust and cost-efficient e2e communications. In this paper an adaptive transmission scheme is presented, where one relay stops forwarding the message if it is in outage and other nodes adapt to a new space-time code. For this adaptive scheme, optimal as well as sub-optimal closed-form power allocation solutions are derived which minimize the total transmission power while satisfying a given e2e outage probability. The significant power savings due to the proposed approaches in comparison to a non-adaptive scheme is demonstrated by numerical results.