Computer Science – Information Theory
Scientific paper
2012-02-14
Computer Science
Information Theory
5 pages, 3 figures, submitted to VTC 2012 Fall
Scientific paper
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 solve this problem, we propose a Fast Adaptive S-ALOHA (FASA) scheme for M2M communication systems with bursty traffic. The statistics of consecutive idle and collision slots are used in FASA to accelerate the tracking process of network status, instead of observing in a single slot. 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 robust performance even under heavy traffic load in addition to better delay performance.
La Richard J.
Liu Xin
Wu Huasen
Zhang Youguang
Zhu Chenxi
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