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On exploiting white spaces in WiFi networks for opportunistic M2M communications

机译:关于利用WiFi网络中的空白进行机会性M2M通信

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Machine to machine (M2M) communications are expected to form one of the fundamental building blocks of the future Internet of Things (IoT). In view of the scarcity of spectrum and the service requirements of traditional users, providing network access to the extremely large number of devices in IoT and M2M scenarios is one of the fundamental problems for network designers and operators. As a possible solution to this issue, this paper explores the possibility of using the unlicensed industrial, scientific and medical (ISM) band for supporting M2M communications while co-existing with traditional users of this band. Since IEEE 802.11 or WiFi based networks are the most common networking technology in the ISM band, this paper presents an evaluation of “white spaces” in WiFi networks (i.e. periods where the WiFi network is not using the channel) that may be used opportunistically for M2M communications. Using a MMPP/G/1/K queue to model the operation of a WiFi access point, we characterize the WiFi white spaces in terms of their frequency, duration, and their probability distribution. Our results show that WiFi white spaces provide considerable transmission opportunities that may be exploited for M2M communications.
机译:机器对机器(M2M)通信有望成为未来物联网(IoT)的基本构建模块之一。鉴于频谱的稀缺和传统用户的服务需求,在物联网和M2M场景中提供对大量设备的网络访问权限是网络设计人员和运营商的基本问题之一。作为此问题的可能解决方案,本文探讨了使用无执照的工业,科学和医学(ISM)频段来支持M2M通信,同时与该频段的传统用户共存的可能性。由于基于IEEE 802.11或WiFi的网络是ISM频段中最常见的联网技术,因此本文提出了对WiFi网络中“空白”的评估(即,WiFi网络未使用该信道的时期),该评估可能会被机会用于M2M通信。使用MMPP / G / 1 / K队列对WiFi接入点的操作进行建模,我们根据其频率,持续时间及其概率分布来表征WiFi空白。我们的结果表明,WiFi空白空间提供了可用于M2M通信的大量传输机会。

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