Machine-Type Communications over the Internet of Things: Energy Efficiency, Connectivity, and Reliability

• Author / Creator

  Lu, Xiao

• Over the years, the Internet-of-things (IoT) have evolved towards the vision that everyday physical objects are endowed with network connectivities, facilitating the interactions between the physical world and the cyber world.
  One of the enabling techniques of IoT to provide ubiquitous connectivities is machine-type communications (MTC), which has been identified as one of few top use cases for the fifth-generation (5G) network development. It is expected that developing quality-of-service (QoS) for MTC would portray an essential role in future-generation communications. To accommodate ever-increasing IoT applications, MTC networks are required to carry low-power communications among a massive number of ubiquitously-deployed and energy-constrained electronics over heavily-used frequency resource. This poses severe challenges in energy provisioning for sustainable operation, connectivity over long transmission range, and reliability for massive access.

  This dissertation aims to make contributions towards addressing the mentioned challenges. First, to solve the energy bottleneck of IoT devices, we propose a self-sustainable communication paradigm and design operational protocols to adapt to the network environment. The performance of the proposed paradigm in large-scale system has been analytical studied. Second, to improve the connectivity of IoT networks, we introduce an energy-efficient cooperative relaying scheme and design different operational protocols based on the availability of channel state information. We also characterize the performance of the cooperative relaying in tractable expressions which directly reveal the effects of different parameters. Third, we investigate the performance of various
  3rd Generation Partnership Project (3GPP)-approved reliability schemes for uplink IoT. Specifically, under these reliability schemes, the uplink coverage probability has been characterized in large-scale IoT networks with massive access. The analytical results reveal the scaling properties of some parameters and demonstrate the effect of the temporally-correlated/independent interference. Finally, we also shed light on promising future research directions.

• Subjects / Keywords

  • machine-type communication
  • stochastic geometry
  • ambient backscatter communication
  • Internet of things
  • Wireless-powered communication

• Graduation date

  Fall 2020

• Type of Item

  Thesis

• Degree

  Doctor of Philosophy

• DOI

  https://doi.org/10.7939/r3-5nqw-xd35

• License

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