2010 - Milcom 2010 Military Communications Conference 2010
DOI: 10.1109/milcom.2010.5680399
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Throughput-optimal relay selection in multiuser cooperative relaying networks

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Cited by 11 publications
(15 citation statements)
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“…The elements of this matrix are chosen randomly in the interval [0,1]. The applied relay selection policy is the maximum weighted matching policy that was used in the previous simulation . We have run the simulation for 1000 iterations or equivalently 10 5 transmission frames.…”
Section: Simulation Results and Discussionmentioning
confidence: 99%
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“…The elements of this matrix are chosen randomly in the interval [0,1]. The applied relay selection policy is the maximum weighted matching policy that was used in the previous simulation . We have run the simulation for 1000 iterations or equivalently 10 5 transmission frames.…”
Section: Simulation Results and Discussionmentioning
confidence: 99%
“…We assume that relay selection in each frame is performed independent of relay selections in the previous or future frames. Although this assumption seems to be restrictive, such a class of policies is discussed and has been widely used in cooperative communication research .…”
Section: System Descriptionmentioning
confidence: 99%
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“…They find efficient and low overhead relay nodes for data delivery to destination through data mining-based network optimization [10], network clustering [18], cooperative beamforming [12], or balancing between shorter high-quality links, and longer lossy links [15]. Previous works [6,8,16,17,19] have proposed relay selection schemes in cooperative networks that utilize game theory [8,16,19] or Markov modeling [6,17]. The proposed schemes choose the optimal cooperative relay nodes that maximize their own utilities, while contributing to the entire network benefit.…”
Section: Related Workmentioning
confidence: 99%
“…are shared among users and therefore can be studied using our model (e.g. [2], [16]). Bipartite Matching also has been extensively used in literature (e.g.…”
Section: Model Descriptionmentioning
confidence: 99%