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Network control by Bayesian broadcast
A transmission control strategy is described for slotted-ALOHA-type broadcast channels with ternary feedback. At each time slot, each station estimates the probability that n stations are ready to transmit a packet for each n , using Bayes' rule and the observed history of collisions, successfu...
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Published in: | IEEE transactions on information theory 1987-05, Vol.33 (3), p.323-328 |
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Main Author: | |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | A transmission control strategy is described for slotted-ALOHA-type broadcast channels with ternary feedback. At each time slot, each station estimates the probability that n stations are ready to transmit a packet for each n , using Bayes' rule and the observed history of collisions, successful transmissions, and holes (empty slots). A station transmits a packet in a probabilistic manner based on these estimates. This strategy is called Bayesian broadcast. An elegant and very practical strategy--pseudo-Bayesian broadcast--is then derived by approximating the probability estimates with a Poisson distribution with mean \nu and further simplifying. Each station keeps a copy of \nu , transmits a packet with probability 1/\nu , and then updates \nu in two steps: For collisions, increment \nu by (e-2)^{-l}=1.39221 \cdots . For successes and holes, decrement \nu by 1 . Set \nu to \max (\nu + \hat{\lambda}, 1) , where \hat{\lambda} is an estimate of the arrival rate \lambda of new packets into the system. Simulation results are presented showing that pseudo-Bayesian broadcast performs well in practice, and methods that can be used to prove that certain versions of pseudo-Bayesian broadcast are stable for \lambda < e^{-1} are discussed. |
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ISSN: | 0018-9448 1557-9654 |
DOI: | 10.1109/TIT.1987.1057315 |