2018
DOI: 10.1016/j.dsp.2017.12.006
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Estimating the number of users in TDMA networks based on redundancy of adaptive channel coding

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Cited by 2 publications
(1 citation statement)
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“…Clearly, if the PDF information is taken into account in the synthesis conditions, improved results can be obtained. Moreover, other types of time-varying parameters, where a PDF in general is available, can be found in important problems from control theory: in design techniques dealing with time-delay (BRIAT et al, 2008;ALABDULMOHSIN et al, 2014;SERPEN;BRUNO;MANUEL, 2017;KHEIRANDISH et al, 2017;SEURET;GOUAISBAUT, 2018), that occurs, for instance, when transmitting packets through digital networks; in NCS (HESPANHA et al, 2007) and sampled-data systems (NAGHSHTABRIZI et al, 2008), where the sampling period depends on the possibility of access of the communication channel, for instance, in wireless networks with high concurrency where the access channel is by TDMA based MAC protocol (ZAREEI et al, 2018;KABARA;CALLE, 2012;TEIMOURI;AHMADIYAN, 2018;HOLLINGER et al, 2011); in non-homogeneous MJLS (ABERKANE, 2011b;ABERKANE, 2011a), where the time-varying transition probabilities are associated to packet loss due to channel noise or distance between source and sink (PALMA et al, 2018d;ABERKANE, 2013). Note that, in all those examples, the time-varying parameters usually depend on a probability function.…”
Section: Approach To Handle Time-varying Parameters Based On the Solu...mentioning
confidence: 99%
“…Clearly, if the PDF information is taken into account in the synthesis conditions, improved results can be obtained. Moreover, other types of time-varying parameters, where a PDF in general is available, can be found in important problems from control theory: in design techniques dealing with time-delay (BRIAT et al, 2008;ALABDULMOHSIN et al, 2014;SERPEN;BRUNO;MANUEL, 2017;KHEIRANDISH et al, 2017;SEURET;GOUAISBAUT, 2018), that occurs, for instance, when transmitting packets through digital networks; in NCS (HESPANHA et al, 2007) and sampled-data systems (NAGHSHTABRIZI et al, 2008), where the sampling period depends on the possibility of access of the communication channel, for instance, in wireless networks with high concurrency where the access channel is by TDMA based MAC protocol (ZAREEI et al, 2018;KABARA;CALLE, 2012;TEIMOURI;AHMADIYAN, 2018;HOLLINGER et al, 2011); in non-homogeneous MJLS (ABERKANE, 2011b;ABERKANE, 2011a), where the time-varying transition probabilities are associated to packet loss due to channel noise or distance between source and sink (PALMA et al, 2018d;ABERKANE, 2013). Note that, in all those examples, the time-varying parameters usually depend on a probability function.…”
Section: Approach To Handle Time-varying Parameters Based On the Solu...mentioning
confidence: 99%