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Interference Steering to Manage Interference in IoT
Author(s) -
Zhao Li,
Yinghou Liu,
Kang G. Shin,
Jia Liu,
Zheng Yan
Publication year - 2019
Publication title -
ieee internet of things journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.075
H-Index - 97
eISSN - 2372-2541
pISSN - 2327-4662
DOI - 10.1109/jiot.2019.2939255
Subject(s) - computer science , interference (communication) , transmitter , transmission (telecommunications) , computer network , channel state information , channel (broadcasting) , spectrum management , wireless , co channel interference , telecommunications , zero forcing precoding , data transmission , electronic engineering , mimo , cognitive radio , precoding , engineering
Internet of Things (IoT) is a new paradigm that involves the interconnection of thousands of devices and home appliances. Due to the scarcity of the spectrum suitable for wireless electromagnetic transmission, many communication systems and devices are close to each other, or even overlapping in spectrum, thus incurring complicated interference situations. Therefore, interference in IoT is worthy of thorough investigation and should be well addressed. There have been numerous interference management (IM) proposals at the interfering transmitter or the interfered transmitter/receiver separately or cooperatively. Moreover, the existing IM schemes rely mainly on the use of channel state information (CSI). However, in some communication scenarios, the option to adjust the interferer is not available, and, in the case of downlink transmission, it is always difficult or even impossible for the interfered receiver to acquire necessary information for IM. Based on the above observations, we first propose a novel IM technique, called interference steering (IS). By making use of both CSI with respect to and data carried in the interfering signal, IS generates a signal to modify the spatial feature of the original interference, so that the steered interference at the interfered receiver is orthogonal to its intended signal. We then apply IS to a wireless local area network (WLAN)-based IoT in which the same frequency band is reused by adjacent basic service sets (BSSs) with overlapping areas. With IS, multiple nearby access points (APs) could simultaneously transmit data on the same channel to their mobile stations (STAs), thus enhancing spectrum reuse. Our in-depth simulation results show that IS significantly improves network SE over existing IM schemes.

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