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On Resource Allocation in Machine-Type Communication Networks

Authors: IVANA NIKOLOSKA (10000940);

On Resource Allocation in Machine-Type Communication Networks

Abstract

The next generation of wireless networks aim to enable a data-driven society in which the connected devices must be able to operate with little or no human intervention for prolonged periods of time. To provide uninterrupted, perpetual operation for these devices, harvesting radio-frequency energy is a viable alternative, which gives rise to wirelessly powered communication networks. In this thesis, we investigate the building blocks of wirelessly powered communication networks and we propose communication protocols that achieve the fundamental limits of information flow, as well as protocols that decrease the congestion of the shared wireless channel for general machine-type communication networks.

Keywords

Knowledge Representation and Machine Learning, machine learning, Networking and communications, Networking and Communications, wirelessly powered communication networks, Knowledge representation and reasoning, internet of things, Wireless Communications, Wireless communication systems and technologies (incl. microwave and millimetrewave)

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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