Space-Time- and Frequency- Spreading for Interference Minimization in Dense IoT
ndrakshi Dey, Nicola Marchetti

TL;DR
This paper introduces a space-time-frequency spreading framework for dense IoT networks that minimizes interference by dispersing data streams across unique blocks, improving energy efficiency and system reliability.
Contribution
It proposes a novel space-time-frequency spreading approach that reduces interference and enhances performance in dense IoT deployments, validated through simulations.
Findings
Interference is effectively minimized in dense IoT scenarios.
System performance and reliability are improved with the proposed framework.
Energy-efficient transmission is enabled by interference mitigation.
Abstract
In this article, we propose a space spreading-assisted framework that leverages either time or frequency diversity or both to reduce interference and signal loss owing to channel impairments and facilitate the efficient operation of large-scale dense Internet-of-Things (IoT). Our approach employs dispersion of data-streams transmitted from individual IoT devices over indexed space-time (ST), space-frequency (SF) or space-time-frequency (STF) blocks. As a result, no two devices transmit on the same block; only one is activated while the rest of the devices in the network is silent, thereby minimizing possibility of interference on the transmit side. On the receive side, multiple-antenna array ameliorates performance in presence of channel impairments while exploiting array-processing gain. As interference due to superposition of multiple data-streams is killed at its root, no extra…
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Taxonomy
TopicsAdvanced MIMO Systems Optimization · Millimeter-Wave Propagation and Modeling · Advanced Wireless Communication Technologies
