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EURASIP Journal on Wireless Communications and Networking

, 2012:358

First Online: 29 November 2012Received: 29 May 2012Accepted: 05 November 2012


Wireless relay transmission has been considered as a supplementary technology for future wireless communication system, and handover is a key element in wireless relay transmissions to support users’ mobility. Handover failure will result in the forced termination of an ongoing call, and a good handover scheme will provide good system performance. This article focuses on the handover decision problem in wireless relay transmission systems. Initially, the architecture of a single-cell relay system is introduced. The handover decision problem is formulated as a Markov decision process MDP. In the proposed model, a profit function is used to evaluate the quality-of-service of the chosen serving node, and a cost function is used to model processing load and signaling cost. Based on the profit and cost functions, the reward function is formulated. Moreover, the objective is to maximize the expected total reward per connection. The value iteration algorithm is employed to determine the optimal handover policy. Furthermore, the analysis is generalized to multi-cell relay systems. Numerical results show that the proposed MDP-based handover policy is well behaved in wireless relay systems.

KeywordsWireless relay systems Handover policy Markov decision process Expected total reward AbbreviationsBSBase station

FDMAFrequency division multiple access

MDPMarkov decision process

MSMobile station

OFDMAOrthogonal frequency division multiple access


RSsRelay stations

SINRSignal-to-interference-plus-noise ratio

SNRSignal-to-noise ratio.

Electronic supplementary materialThe online version of this article doi:10.1186-1687-1499-2012-358 contains supplementary material, which is available to authorized users.

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Autor: Xiaoyu Dang - Jin-Yuan Wang - Zhe Cao


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