NeTS: Small: Collaborative Research: Improving Spectrum Efficiency for Hyper-Dense IoT Networks
Project runs from 10/01/2018 to 09/30/2021
The emerging Internet of things (IoT) technologies will enable a whole new set of applications, imposing far reaching influences on multifarious aspects of the society. At the same time, the new and non-traditional deployment scenarios for the IoT technologies also pose several grand challenges that need to be addressed for their successful operation, including but not limited to: 1) complex and dynamic interference characteristics due to unplanned and massive IoT deployments; 2) self- and other-user interference problems due to utilized carrier waveforms, strongly coupled to each other due to massive deployment scale; and 3) scarcity of existing spectrum resources for supporting large number of simultaneous IoT links. In this proposal, the PIs will develop novel physical (PHY) and medium access control (MAC) layer IoT architectures and algorithms to enable cognitive interference management for massively deployed IoT technologies, and evaluate the proposed designs on software defined radio (SDR) based experimentation platforms. A comprehensive study into stochastic geometry based capacity analysis, joint equalizer and waveform designs, and graph based radio resource management will be pursued and treated in an integrated manner.