2010
DOI: 10.1109/twc.2010.04.091364
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Splitting algorithms for fast relay selection: Generalizations, analysis, and a unified view

Abstract: Relay selection for cooperative communications promises significant performance improvements, and is, therefore, attracting considerable attention. While several criteria have been proposed for selecting one or more relays, distributed mechanisms that perform the selection have received relatively less attention. In this paper, we develop a novel, yet simple, asymptotic analysis of a splitting-based multiple access selection algorithm to find the single best relay. The analysis leads to simpler and alternate e… Show more

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Cited by 46 publications
(27 citation statements)
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“…We call this the best relay selection rule. In practice, selection can be implemented using a centralized polling mechanism or distributed mechanisms such as timer-based selection [7], [24] or splitting-based selection [25], [26]. The distributed mechanisms are fast and scale well as the number of relays increases.…”
Section: Relay Selectionmentioning
confidence: 99%
“…We call this the best relay selection rule. In practice, selection can be implemented using a centralized polling mechanism or distributed mechanisms such as timer-based selection [7], [24] or splitting-based selection [25], [26]. The distributed mechanisms are fast and scale well as the number of relays increases.…”
Section: Relay Selectionmentioning
confidence: 99%
“…where α α α N−1 and F F F N−1 are defined in (6) and (7). Neglecting the event in which three nodes transmit, we get…”
Section: Proof Of Resultsmentioning
confidence: 99%
“…In the splitting scheme, nodes whose metrics lie between two thresholds transmit in a slot [6], [7]. The thresholds for the next slot are updated based on the outcome of the current slot.…”
Section: A Distributed Node Selection Schemesmentioning
confidence: 99%
“…Distributed selection schemes successfully tackle this problem [2], [5]- [8]. One prominent example is the time-slotted splitting-based selection scheme [6], [7]. In it, all nodes whose metrics lie in between…”
Section: Introductionmentioning
confidence: 99%