Publication: Graph based interference analysis and resource allocation in mmWave IoT networks
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2019-09-09
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IEEE
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Abstract
IoT, Internet of Things is one of the most promising technologies of the fifth-generation (5G). The buzz is all about creating smart environments and getting every type of device connected to the internet. 5G will revolutionize the speed at which the data is transferred, and how much can be transferred at one time. Millimeterwave (mmWave) and massiveMIMO are the two key technologies which plays an essential role to address this problem and represents the next frontier of wireless technology, bringing 10 times higher frequencies and 10 times wider channel bandwidths than the most advanced Wi-Fi and cellular technologies. Millimeter-wave technology is going to become less expensive and easier to deploy, making it a candidate for many wireless connections, including backhaul, personal area networks and LANs. In the world of IoT, this translates into instant, reliable machine communication across every industry and application possible [1]. As the density of wireless devices increases and requirements of all their applications change drastically, it becomes more challenging to provide them connectivity within the stipulated amount of time to deliver the needs. As a result, several challenges such as improving the network capacity, coverage area, efficient data capturing, security, signal processing becomes a necessity to be handled. In line with these, a very recent area of research is to exploit mm-wave band for use in 5G IoT implementations unlike the traditional usage of Zigbee and Bluetooth technologies. One of the technical challenges in this broad area of research is coordinating communication among large number of devices ensuring highly reliable links and investigate on the potential of Resource allocation to envision a diverse set of usage scenarios and applications.
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Proceedings of: 2019 IEEE-APS Topical Conference on Antennas and Propagation in Wireless Communications (APWC 2019), 09-13 September 2019, Granada, Spain.
Keywords
Internet of things, Interference, Structural beams, Resource management, Antenna arrays, Color, Wireless sensor networks
Bibliographic citation
Vulchi, H., Pérez Leal, R. & García Armada, A. (09-13 September 2019). Graph based interference analysis and resource allocation in mmWave IoT networks [proceedings]. 2019 IEEE-APS Topical Conference on Antennas and Propagation in Wireless Communications (APWC 2019), Granada, Spain.