Joint drift analysis for multigroup slotted ALOHA: stability with maximum utilization

Gurcan, M.K.; Al-Amir, A.

doi:10.1109/25.966573

Cited by 4 publications

(2 citation statements)

References 14 publications

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“…However, from the stability point of view, we concern mostly the scenarios where the number of backlogged devices or its estimate is large and hence approximation can be applied in these cases. To deal with the issues caused by the memory property of FASA, we analyze its T -slot drifts rather than the 1-slot drifts, which are introduced for analyzing traditional adaptive ALOHA schemes [12,13,22,27]. By constructing a virtual sequence, we show that the T -slot drifts of FASA have the properties required for stabilizing the system as long as the number of backlogged or its estimate is sufficiently large, and these are similar to the properties of PB-ALOHA.…”

Section: Stability Analysis Of Fasamentioning

confidence: 99%

“…Drift Analysis for stabilization of S-ALOHA: Drift analysis is a theory for deducing the properties such as ergodicity of a sequence from its drift and is found useful in the design and analysis of adaptive S-ALOHA schemes [12,26,27]. The network status, which is represented by the number of backlogged devices and its estimate, could be viewed as a stochastic sequence.…”

Section: Related Work Radio Congestion Control In M2m Communicatimentioning

confidence: 99%

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Fast Adaptive S-ALOHA Scheme for Event-Driven Machine-to-Machine Communications

Zhu

et al. 2012

2012 IEEE Vehicular Technology Conference (VTC Fall)

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Abstract-Machine-to-Machine (M2M) communication is now playing a market-changing role in a wide range of business world. However, in event-driven M2M communications, a large number of devices activate within a short period of time, which in turn causes high radio congestions and severe access delay. To address this issue, we propose a Fast Adaptive S-ALOHA (FASA) scheme for M2M communication systems with bursty traffic. The statistics of consecutive idle and collision slots, rather than the observation in a single slot, are used in FASA to accelerate the tracking process of network status. Furthermore, the fast convergence property of FASA is guaranteed by using drift analysis. Simulation results demonstrate that the proposed FASA scheme achieves near-optimal performance in reducing access delay, which outperforms that of traditional additive schemes such as PB-ALOHA. Moreover, compared to multiplicative schemes, FASA shows its robustness even under heavy traffic load in addition to better delay performance.

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Section: Stability Analysis Of Fasamentioning

confidence: 99%

Section: Related Work Radio Congestion Control In M2m Communicatimentioning

confidence: 99%